1,096 Data Operator Jobs in Kochi

Role Overview: You should have at least 12 years of experience in a technology field, with a minimum of 5 years in roles such as Solutions Architect, Forward Deployed Engineer, Professional Services Consultant, or Transformation Lead. Your hands-on experience should include building and deploying production-grade AI/ML systems for process automation and optimization. Additionally, you should possess practical knowledge of the modern Generative AI stack, data annotation platforms, and large-scale data labeling workforces. Your responsibilities will include leading and developing targeted POCs and designing the integration of our platform and services into client's existing AI/ML pipelines and infrastructure. Key Responsibilities: - Build and deploy production-grade AI/ML systems for process automation and optimization - Work with the modern Generative AI stack including LLMs, agentic frameworks, and vector databases - Lead and develop targeted POCs to demonstrate the value and viability of solutions - Design integration of platform and services into client's existing AI/ML pipelines and infrastructure Qualifications Required: - Bachelor's degree in a relevant field - At least 12 years of experience in technology, with a minimum of 5 years in related roles - Practical experience with Generative AI stack and data annotation platforms Company Details: This section is omitted as there are no additional details of the company present in the JD. Please note the Job Code: GO/JC/1513/2025 and the Recruiter Name: Maheshwari Balasubramanian for reference.,

Role Overview: You will be leading the Data Engineering and Data Science pillars within the Global Analytics team at EY's Global Finance function. Your role involves scoping, exploring, and delivering advanced data science/ML projects to drive growth and create efficiencies. You will work closely with the Global Analytics team lead and other pillar leads to ensure that the best data and analytics-driven insights are used in strategic and operational decision-making across the firm. Key Responsibilities: - Support the team lead in scoping, exploring, and delivering advanced data science/ML projects - Create machine learning driven financial forecasts for different parts of the firm to inform planning cycles and talent strategy - Predict revenue potential of EY's services for each client and suggest business development strategies - Provide data-driven recommendations to optimize service delivery for improved margins - Establish a best-in-class data management framework and architecture for leveraging agentic AI - Use agile best practices to manage team priorities and workflow across multiple projects - Maintain high standards in work quality and processes, including validation, testing, and release management - Act as a thought leader, driving proactive recommendations based on EY's needs for predictive insights - Coach and develop the team to enhance their skills and capabilities - Communicate developments effectively to stakeholders, including non-technical senior leaders and technical teams Qualifications Required: - Strong track record in leading teams to develop data science/machine learning solutions - Ability to build rapport and trust with key stakeholders - Proficiency in creating and explaining visual stories around analysis - Proven experience in proactive innovation and solution inception - Expertise in creating and managing automated ETL processes and relational database schemas - Practical experience in exploratory analytics, data science, and machine learning pipelines using Python and SQL - Experience with Graph databases, metadata management, LLMs, and PowerBI is advantageous Company Details: EY is committed to being an inclusive employer, offering flexible working arrangements to achieve a balance between client service and personal priorities. The company provides a competitive remuneration package, comprehensive Total Rewards, support for career development, and a range of benefits tailored to individual needs. Working at EY offers opportunities to learn new skills, progress in your career, and handle your role in a way that suits you, all while contributing to building a better working world.,

As a seasoned Senior Data Engineer, your role will involve architecting and implementing end-to-end data pipelines on Google Cloud Platform (GCP) and AWS, focusing on leveraging BigQuery and Databricks. Your expertise in modern data engineering practices will be crucial in driving data quality and governance. Your responsibilities will include: - Architecting, developing, and maintaining ETL/ELT data pipelines primarily on GCP using BigQuery - Designing and implementing data ingestion frameworks with tools like Google Cloud Dataflow, Pub/Sub, Kafka, Fivetran, or Talend - Leading and optimizing data transformation processes using SQL, dbt, Apache Spark, or Dataflow to implement layered data architectures - Collaborating cross-functionally with data scientists, analysts, and business teams to translate requirements into scalable data assets - Building and automating workflows using orchestration tools like Google Cloud Composer or Apache Airflow - Managing data governance, lineage, and security practices to ensure compliance with internal policies and regulatory standards - Conducting root cause analysis and troubleshooting data issues to maintain high data integrity - Driving cloud cost optimization strategies related to data storage and compute resources Additionally, your experience with Databricks on AWS for Spark-based large-scale data processing and machine learning pipelines will be highly valued. You will also have the opportunity to mentor junior engineers and contribute to developing best practices and documentation for data engineering processes.,

You are looking for a Data Governance Specialist to join Beinex's office in India/Dubai. As a Data Governance Specialist, your responsibilities will include: - Implementing data governance solutions with the right set of data management concepts, approaches, and tools - Working with the enterprise to define and articulate the data management strategic vision and translate it into implementable tactical steps - Ability to define operating models of Data Governance, Data Quality, and Metadata Management in Data Lake environments - Designing & conducting data management maturity assessments and identifying areas of improvement for capabilities, including those of data quality, data governance, metadata management, and master data management - Documenting and reviewing requirements, service requests, enhancements, operational activities, technical and specifications changes - Designing, developing, and documenting critical data elements, policies, processes, glossary, data sets, and data quality rules using Axon - Designing, developing, testing, deploying, and documenting data quality applications and their outputs using Informatica Data Quality - Working with business owners of data to assist them in establishing appropriate quality assurance processes - Collaborating closely with stakeholders on solution ideation, design, and implementation for customer data governance requirements Key Skills Requirements: - 5+ years of experience with Data Quality and Data Integration projects - Expert-level skills in Informatica Axon DG implementation - Knowledge of IDQ Integration with other Informatica Products (PowerCenter, Axon, EDC) - In-depth knowledge of data governance and data management concepts, approaches, tools, and the role of data governance in successfully implementing data strategies - Hands-on experience in data integration using Informatica PowerCenter and BDM tools - Expertise in writing SQL queries and database management skills - Proven experience and success in managing projects from inception to production rollout and support - Strong client-facing negotiation, communication, issue resolution, and analytical skills - Excellent interpersonal and written, and verbal communication skills - Strong decision-making skills with the ability to handle stressful situations with perseverance and professionalism Qualification Required: - Bachelors or Masters Degree in Computer Science, Engineering, or a related field In addition, Beinex offers the following perks: - Comprehensive Health Plans - Learning and development opportunities - Workation and outdoor training - Hybrid working environment - On-site travel Opportunity - Beinex Branded Merchandise,

Role Overview: You will be joining a team at EY in the banking and insurance sectors as a talented Data Scientist. Your role will involve analyzing large datasets, developing predictive models, exploring Generative AI applications, collaborating with cross-functional teams, creating data visualizations, utilizing Azure services, and staying updated on industry trends. Key Responsibilities: - Analyze large datasets to extract meaningful insights and support business decisions in banking and insurance operations. - Develop and implement predictive models using SAS, R, and Python to address business challenges and improve operational efficiency. - Explore and apply Generative AI techniques to enhance data-driven solutions and create innovative products and services. - Work closely with cross-functional teams to understand data requirements and deliver actionable insights. - Create compelling visualizations and reports to communicate findings and recommendations to both technical and non-technical audiences. - Utilize Azure services for data storage, processing, and model deployment to ensure scalability and efficiency. - Stay updated on industry trends, emerging technologies, and best practices in data science and analytics. Qualifications: - Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field. - 2-4 years of experience as a Data Scientist, preferably in the banking and insurance sectors. - Proficiency in SAS, R, and Python for data analysis and modeling. - Familiarity with Generative AI concepts and applications. - Experience with Azure services for data analytics and model deployment. - Strong analytical and problem-solving skills. - Excellent communication skills. Additional Company Details: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a Business Data Analyst Intern at our company, you will play a crucial role in gathering business challenges and documenting them effectively. You will be responsible for collating and interpreting data, as well as analyzing results using statistical techniques and tools. Working closely with the team, you will prioritize business and information needs to present insightful solutions regarding the data. Your role will also involve analyzing data for trends and interpreting patterns with a clear objective in mind. Qualifications Required: - Interest in working within a startup culture/ecosystem - Willingness to learn with a "Never Die" attitude - Ability to work independently and within a team - Knowledge of AI/ML algorithms, working with large datasets, and big data tools - Strong proficiency in Python, Excel functions, SQL, data concepts, and in-depth understanding of modeling techniques - Familiarity with NLP, LLM, and Generative AI - Understanding of Data Visualization and the ability to analyze, model, and interpret data - Strong logical and problem-solving skills Join us for this internship opportunity where you can apply your skills and knowledge in a dynamic and collaborative environment. Your total work experience of 1 year would be preferred, and the work location will be in person.,

Role Overview: A Data Scientist is expected to be hands-on to deliver end to end vis a vis projects undertaken in the Analytics space. You must have a proven ability to drive business results with your data-based insights. You must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Key Responsibilities: - Identify valuable data sources and collection processes - Supervise preprocessing of structured and unstructured data - Analyze large amounts of information to discover trends and patterns for the insurance industry - Build predictive models and machine-learning algorithms - Combine models through ensemble modeling - Present information using data visualization techniques - Collaborate with engineering and product development teams - Hands-on knowledge of implementing various AI algorithms and best-fit scenarios - Has worked on Generative AI based implementations Qualifications Required: - 3.5-5 years experience in Analytics systems/program delivery; at least 2 Big Data or Advanced Analytics project implementation experience - Experience using statistical computer languages (R, Python, SQL, Pyspark, etc.) to manipulate data and draw insights from large data sets; familiarity with Scala, Java, or C++ - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications - Hands-on experience in Azure/AWS analytics platform (3+ years) - Experience using variations of Databricks or similar analytical applications in AWS/Azure - Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) - Strong mathematical skills (e.g. statistics, algebra) - Excellent communication and presentation skills - Deploying data pipelines in production based on Continuous Delivery practices Additional Information: Omit this section as it does not contain any relevant details regarding the company. (Note: The job description does not include any additional details about the company.),

Role Overview: As a GCP Cloud Data Engineer in Kochi, your main responsibility will be to design and develop data pipelines, build, optimize, and maintain scalable ETL/ELT pipelines using GCP tools such as Cloud Dataflow, Data Fusion, Pub/Sub, Dataproc, and Composer (Airflow). You will also be involved in data modeling and warehousing by designing and implementing efficient data models and schemas for BigQuery or other GCP data stores to support analytical and operational needs. Additionally, you will be responsible for data integration, performance optimization, automation & CI/CD, and data governance & security within GCP. Key Responsibilities: - Design and develop data pipelines using GCP tools - Build, optimize, and maintain scalable ETL/ELT pipelines - Design efficient data models and schemas for BigQuery or other GCP data stores - Ingest structured and unstructured data from multiple sources into GCP-based data lakes and warehouses - Monitor and optimize data pipeline performance, query efficiency, and cost-effectiveness - Implement infrastructure-as-code using Terraform, Deployment Manager, or Cloud Build for data workflows and pipeline deployments - Apply data quality, lineage, and security best practices in compliance with organizational and regulatory standards Qualifications Required: - Bachelor's Degree in a relevant field - Experience with GCP tools such as Cloud Dataflow, Data Fusion, Pub/Sub, Dataproc, and Composer (Airflow) - Strong knowledge of data modeling and warehousing, data integration, performance optimization, automation & CI/CD, and data governance & security best practices Company Details: No additional company details were provided in the job description. Note: Recruiter Name - Christopher Job Code: GO/JC/1427/2025,

As a Big Data Engineer with over 5 years of relevant experience, your role will involve designing, developing, and maintaining scalable and distributed data architectures capable of processing large volumes of data. You will be responsible for implementing and optimizing data storage solutions using technologies such as Hadoop, Spark, and PySpark. Your expertise in PySpark development will be crucial for developing and implementing efficient ETL processes to extract, transform, and load large datasets. Additionally, you will play a key role in optimizing PySpark applications for better performance, scalability, and resource management. Key Responsibilities: - Design, develop, and maintain scalable and distributed data architectures for processing large volumes of data. - Implement and optimize data storage solutions using technologies like Hadoop, Spark, and PySpark. - Develop and implement efficient ETL processes using PySpark for data extraction, transformation, and loading. - Optimize PySpark applications to enhance performance, scalability, and resource management. Qualifications: - Proven experience as a Big Data Engineer with a strong focus on PySpark. - Deep understanding of Big Data processing frameworks and technologies. - Strong proficiency in PySpark for developing and optimizing ETL processes and data transformations. - Experience with distributed computing and parallel processing. - Ability to collaborate in a fast-paced, innovative environment. Please note that the additional details of the company were not provided in the job description.,

Role Overview: You will be joining EY as a Data Modeller - Senior in the Data and Analytics team. Your role will involve employing tools and techniques to understand and analyze data, defining data modelling and design standards, designing and maintaining data models, as well as collaborating with data engineers to create optimal physical data models. Key Responsibilities: - Employ tools and techniques to understand and analyze data collection, updating, storing, and exchanging - Define and apply data modelling and design standards, tools, best practices, and related development methodologies - Design, review, and maintain data models - Perform data analysis activities to capture data requirements and represent them in data models visualization - Manage the life cycle of the data model from requirements to design to implementation to maintenance - Work closely with data engineers to create optimal physical data models of datasets - Identify areas where data can be utilized to enhance business activities Qualification Required: - Computer science graduate or equivalent with 3 to 8 years of industry experience - Working experience in an Agile-based delivery methodology (preferable) - Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution - Strong analytical skills and enjoy solving complex technical problems - Proficiency in software development best practices - Excellent debugging and optimization skills - Experience in enterprise-grade solution implementations and converting business problems/challenges to technical solutions considering security, performance, scalability, etc. - Excellent communicator (written and verbal, formal and informal) - Participate in all aspects of the solution delivery life cycle including analysis, design, development, testing, production deployment, and support Additional Company Details: EY is dedicated to building a better working world by creating new value for clients, people, society, and the planet while fostering trust in capital markets. With a focus on data, AI, and advanced technology, EY teams collaborate to shape the future with confidence and develop solutions for current and future challenges. Operating across assurance, consulting, tax, strategy, and transactions, EY teams leverage sector insights and a globally connected network to provide services in over 150 countries and territories. Role Overview: You will be joining EY as a Data Modeller - Senior in the Data and Analytics team. Your role will involve employing tools and techniques to understand and analyze data, defining data modelling and design standards, designing and maintaining data models, as well as collaborating with data engineers to create optimal physical data models. Key Responsibilities: - Employ tools and techniques to understand and analyze data collection, updating, storing, and exchanging - Define and apply data modelling and design standards, tools, best practices, and related development methodologies - Design, review, and maintain data models - Perform data analysis activities to capture data requirements and represent them in data models visualization - Manage the life cycle of the data model from requirements to design to implementation to maintenance - Work closely with data engineers to create optimal physical data models of datasets - Identify areas where data can be utilized to enhance business activities Qualification Required: - Computer science graduate or equivalent with 3 to 8 years of industry experience - Working experience in an Agile-based delivery methodology (preferable) - Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution - Strong analytical skills and enjoy solving complex technical problems - Proficiency in software development best practices - Excellent debugging and optimization skills - Experience in enterprise-grade solution implementations and converting business problems/challenges to technical solutions considering security, performance, scalability, etc. - Excellent communicator (written and verbal, formal and informal) - Participate in all aspects of the solution delivery life cycle including analysis, design, development, testing, production deployment, and support Additional Company Details: EY is dedicated to building a better working world by creating new value for clients, people, society, and the planet while fostering trust in capital markets. With a focus on data, AI, and advanced technology, EY teams collaborate to shape the future with confidence and develop solutions for current and future challenges. Operating across assurance, consulting, tax, strategy, and transactions, EY teams leverage sector insights and a globally connected network to provide services in over 150 countries and territories.

Role Overview: As a Lead Data Services Manager at UST in Kochi, you will be responsible for leading, mentoring, and managing a team to deliver high-quality data services. Your role will involve resolving escalations, ensuring SLA adherence, serving as a key liaison with global teams and external partners, monitoring data inboxes, overseeing daily operations, recalculating Private Equity valuations post-corporate events, supporting system upgrades and automation initiatives, coordinating client valuation data workflows, and maintaining regulatory and pricing/valuation data. Key Responsibilities: - Lead, mentor, and manage a team to deliver high-quality data services - Serve as a key liaison with global teams and external partners - Monitor and manage data inboxes, respond to requests via casemanagement tools - Oversee daily operations such as data feeds, pricing input, exception reporting, and manual interventions - Recalculate Private Equity valuations post-corporate events - Support system upgrades, automation initiatives, and conduct UAT/testing efforts - Coordinate client valuation data workflows and manage vendor issue resolution - Maintain and validate regulatory and pricing/valuation data, establish Fair Value Levels (e.g. IFRS) - Share domain expertise, perform data setup, onboarding, and quality assurance Qualifications Required: - Prior, substantial experience managing instrument, pricing, index, or related data in an asset management environment - Deep understanding of data quality implications and how errors propagate downstream - Strong familiarity with OTC derivatives and their valuation frameworks - Experience in corporate action pricing and event processing - Sound knowledge of investment products, portfolio accounting, and valuation reporting - Hands-on experience with systems such as Aladdin, S&P (Markit) EDM, T24 - Practical exposure to data vendors (e.g., Refinitiv Eikon & Datascope, Bloomberg, ICE) - Xceptor Practitioner certified, with real-world configuration exposure in a live environment - Advanced skills in MS Excel (formulas, macros, VBA, Power Query) - Proficiency in SQL or similar data manipulation/query languages - Experience working on data-centric transformation projects About UST: UST is a global digital transformation solutions provider with a mission to make a real impact through transformation. With over 30,000 employees in 30 countries, UST partners with clients worldwide, embedding innovation and agility into organizations to touch billions of lives in the process.,

As a Senior Systems Engineer at our company, you will play a crucial role in designing, deploying, and supporting cutting-edge data center and AI infrastructure solutions. Your responsibilities will include: - Solution Design & Implementation: - Architect, configure, and deploy NVIDIA GPU and Supermicro server solutions. - Design scalable compute, storage, and networking architectures tailored for customer and project needs. - Conduct system integration, benchmarking, and performance tuning. - Technical Support: - Provide advanced L2/L3 technical support for NVIDIA DGX systems, Supermicro servers, and related infrastructure. - Troubleshoot hardware, firmware, and software issues, coordinating vendor escalations (NVIDIA, Supermicro). - Collaboration & Partner Engagement: - Collaborate closely with NVIDIA and Supermicro technical teams for solution validation and product updates. - Support internal sales and presales teams with customer engagements, demos, and Proof-of-Concept (POC) implementations. - Data Center Management: - Manage on-premise and hosted lab environments for testing and evaluation. - Ensure adherence to data center standards related to power, cooling, cabling, and security. - Documentation: - Prepare comprehensive system design documents, deployment guides, test reports, and maintain accurate asset/configuration records. Qualifications & Experience: - Bachelors degree in Computer Engineering, Information Technology, or a related field. - Minimum 8 years of experience in systems engineering, preferably within data center or enterprise infrastructure environments. - Strong knowledge of NVIDIA GPU architectures (DGX, HGX, CUDA, AI/ML frameworks). - Proficiency with Supermicro server platforms, including BIOS/firmware management and IPMI tools. - Familiarity with data center networking (Ethernet/InfiniBand) and storage systems (SAN/NAS). - Hands-on experience with virtualization technologies (VMware, Hyper-V, KVM) and Linux/Windows server environments. - Exposure to containerization (Docker, Kubernetes) and AI infrastructure management is a plus. - Exceptional analytical, problem-solving, and communication skills. If you are interested in this exciting opportunity, you can apply by writing to us at careers@japhethgroup.com.,

In this role as a Big Data Engineer, your primary responsibility will be to design, develop, and maintain scalable and distributed data architectures capable of processing large volumes of data. You will also be tasked with implementing and optimizing data storage solutions using technologies such as Hadoop, Spark, and PySpark. Additionally, you will need to develop and implement efficient ETL processes using PySpark to extract, transform, and load large datasets. It will be crucial for you to optimize PySpark applications for better performance, scalability, and resource management. To excel in this role, you must have proven experience as a Big Data Engineer with a strong focus on PySpark. A deep understanding of Big Data processing frameworks and technologies is essential. Strong proficiency in PySpark for developing and optimizing ETL processes and data transformations is a key requirement. Experience with distributed computing and parallel processing will be advantageous. Moreover, your ability to collaborate in a fast-paced, innovative environment will be critical for success. - Proven experience as a Big Data Engineer with a strong focus on PySpark - Deep understanding of Big Data processing frameworks and technologies - Strong proficiency in PySpark for developing and optimizing ETL processes and data transformations - Experience with distributed computing and parallel processing - Ability to collaborate in a fast-paced, innovative environment,

In this role at Dbiz, you will be joining as an intern with the opportunity to work across various technology verticals such as software development, data science, artificial intelligence, machine learning, cybersecurity, and IT infrastructure. You will have the chance to contribute meaningfully to projects and develop your expertise based on your skills and interests. **Responsibilities:** - Collaborate with team members on assigned projects, contributing to the design, development, and implementation of technology solutions. - Participate in coding, testing, and debugging software applications. - Assist in data collection, analysis, and interpretation for data-driven projects. - Support the development and deployment of machine learning models and AI solutions. - Help maintain and secure IT infrastructure, ensuring optimal performance and security. - Document project requirements, processes, and outcomes. - Attend team meetings, brainstorming sessions, and training workshops. - Stay up-to-date with the latest industry trends, tools, and technologies. At Dbiz, you can expect a competitive salary and attractive benefits, a dynamic and innovative work environment, opportunities for personal growth and development, and an engaging and collaborative company culture. In this role at Dbiz, you will be joining as an intern with the opportunity to work across various technology verticals such as software development, data science, artificial intelligence, machine learning, cybersecurity, and IT infrastructure. You will have the chance to contribute meaningfully to projects and develop your expertise based on your skills and interests. **Responsibilities:** - Collaborate with team members on assigned projects, contributing to the design, development, and implementation of technology solutions. - Participate in coding, testing, and debugging software applications. - Assist in data collection, analysis, and interpretation for data-driven projects. - Support the development and deployment of machine learning models and AI solutions. - Help maintain and secure IT infrastructure, ensuring optimal performance and security. - Document project requirements, processes, and outcomes. - Attend team meetings, brainstorming sessions, and training workshops. - Stay up-to-date with the latest industry trends, tools, and technologies. At Dbiz, you can expect a competitive salary and attractive benefits, a dynamic and innovative work environment, opportunities for personal growth and development, and an engaging and collaborative company culture.

Role Overview: You will be a Graduate Specialist in the Data & AI team at CTEBS, working on a transformation journey impacting various aspects of Classic's business. Your role will involve contributing to the development of data pipelines, reports, and dashboards, supporting automation of operational processes, collaborating with Business Analysts and Data Engineers, and assisting in data validation and user testing activities. Key Responsibilities: - Help build and test data pipelines, reports, and dashboards for informed decision-making. - Support automation and enhancement of operational processes using modern tools. - Collaborate with Business Analysts and Data Engineers to comprehend and document requirements. - Assist in data validation, quality checks, and user testing. - Gain hands-on experience through live projects supporting internal teams in India and Jordan. Qualifications Required: - Ideal candidates are recent graduates or final-year students with degrees in Data Science, AI, Computer Science, or Information Technology. Role Overview: You will be a Graduate Specialist in the Data & AI team at CTEBS, working on a transformation journey impacting various aspects of Classic's business. Your role will involve contributing to the development of data pipelines, reports, and dashboards, supporting automation of operational processes, collaborating with Business Analysts and Data Engineers, and assisting in data validation and user testing activities. Key Responsibilities: - Help build and test data pipelines, reports, and dashboards for informed decision-making. - Support automation and enhancement of operational processes using modern tools. - Collaborate with Business Analysts and Data Engineers to comprehend and document requirements. - Assist in data validation, quality checks, and user testing. - Gain hands-on experience through live projects supporting internal teams in India and Jordan. Qualifications Required: - Ideal candidates are recent graduates or final-year students with degrees in Data Science, AI, Computer Science, or Information Technology.

Role Overview: As a Data Entry Operator at Solar Company in Kochi, you will be responsible for entering and updating data in company databases and systems, ensuring accuracy and completeness of data entries, maintaining and organizing records efficiently, assisting in preparing reports and documentation, and coordinating with teams for data-related tasks. Key Responsibilities: - Enter and update data in company databases and systems. - Ensure accuracy and completeness of data entries. - Maintain and organize records efficiently. - Assist in preparing reports and documentation. - Coordinate with teams for data-related tasks. Qualifications Required: - Basic computer knowledge and typing skills. - Familiarity with MS Office (Excel, Word). - Attention to detail and accuracy. - Ability to work independently and meet deadlines. - Immediate joiners preferred. Please note: Interested candidates can apply now!,

You will be joining our team as a Warehouse In charge and Castrol Lubricants Distributor Computer Operator. Your main responsibilities will include overseeing warehouse operations, managing inventory, and efficiently operating the Castrol Company software (TVD) Billing. This role requires someone with a strong background in warehouse management, inventory control, and proficiency in using Castrol Lubricants" proprietary software. - Utilize Castrol Company software (TVD) Billing for effective management of customer relationship data, maintaining books of accounts, inventory management, and stock inward and outward invoice management. - Oversee the dispatching of goods, inward receipt of products, handle credit note and debit note processes, and prepare bank reconciliation statements. - Provide leadership and supervision to warehouse employees, ensure efficient workflow, and foster a positive working environment. - Manage computer operations related to the distribution partnership with Castrol Lubricants, coordinate with Castrol India Limited representatives, and handle warranty claim inspection and processing in collaboration with Castrol Lubricants. - Proven experience in warehouse management and operations. - Strong understanding of inventory management. - Excellent communication and interpersonal skills. - Leadership and team management skills. If you are a motivated individual with attention to detail, possess the necessary skills, and are excited about contributing to the success of our warehouse and distribution operations, we invite you to apply for this position. Santhosh Enterprises is an equal opportunity employer that values diversity and is dedicated to creating an inclusive environment for all employees. Benefits: - Paid time off Schedule: - Morning shift - Weekend availability,

As a Data Engineer, your role will involve building data pipelines such as crawling/fetch pipelines, parsing job postings & CVs, and creating embeddings for similarity search. You will also be responsible for integrating with external systems like HR4YOU, SerpAPI, and BA job board, and ensuring batch/stream processing and telemetry for data quality. Key Responsibilities: - Develop crawling/fetch pipelines using an API-first approach and tools like playwright/requests - Normalize job postings & CVs, implement deduplication/delta logic, and perform embeddings/similarity search - Integrate with external systems such as HR4YOU, SerpAPI, BA job board, email/SMTP, etc. - Implement batch/stream processing, retry/backoff mechanisms, and dead-letter queues - Ensure telemetry for monitoring data quality metrics like freshness, duplicate rate, coverage, etc. - Collaborate with frontend team for data exports and admin configuration Qualifications Required: - 4+ years of backend/data engineering experience - Proficiency in Python (FastAPI, pydantic, httpx/requests, Playwright/Selenium) and TypeScript - Experience with Azure services like Functions/Container Apps, AKS jobs, Storage/Blob, Key Vault, Monitor/Log Analytics - Knowledge of messaging systems, databases like PostgreSQL, pgvector, and ETL/ELT patterns - Familiarity with testability (pytest), observability (OpenTelemetry), and clean code practices Additional Company Details: The company follows an API-first working method, emphasizes clean code, trunk-based development, and mandatory code reviews. Tools/stack used include GitHub, GitHub Actions/Azure DevOps, Docker, pnpm/Turborepo, Jira/Linear, and Notion/Confluence. The working culture also involves rotating on-call/support where "you build it, you run it." Please let me know if you need more information or clarification regarding the job description.,

As an intern in our Data Analytics team, you will have the opportunity to explore the world of data and develop skills in analytics, visualization, and business insights. The role involves the following responsibilities: - Assist in collecting, cleaning, and organizing data from various sources. - Work on exploratory data analysis to generate meaningful insights. - Create basic dashboards and visual reports using tools like Excel, Power BI, or Tableau. - Support live projects under the guidance of mentors and data analysts. - Document findings, insights, and project progress. To excel in this role, you should possess the following skills: - Strong analytical and problem-solving mindset. - Basic understanding of MS Excel or Google Sheets. - Interest in learning tools like Python, Power BI, or SQL. - Good communication and teamwork skills. - Eagerness to learn and adapt to new technologies. Eligibility criteria for this internship include being a graduate or final-year student passionate about Data Analytics. No prior technical background is required as training and mentorship will be provided. Please note that this internship is part-time and the contract length is 3 months. The work location is in person at various locations including Kochi, Bangalore, Calicut, and online. The application deadline is 15/12/2025, with an expected start date of 15/12/2025.,

As a Markets Finance & Reporting Lead at EY, you will play a crucial role in acting as a trusted advisor and strategic partner to the Global Ecosystem Enablement Team. Your responsibilities will include overseeing people, processes, and technology to drive transformation and continuous improvement across the operating model. Your role will involve coordinating activities across the Ecosystem finance operating model, collaborating with various stakeholders, and ensuring efficient operation of the Finance reporting team. **Key Responsibilities:** - Develop deep understanding of Business cycles, KPIs, and revenue generation - Act as a trusted business advisor on strategic initiatives and reporting operations - Enhance domain knowledge and partner with stakeholders including client practitioners, Finance, and Industry leaders - Drive operational efficiency by maintaining the Finance Reporting Service Catalogue and process documentations - Facilitate effective communication and collaboration within the RA teams and the rest of the ER enablement team - Lead and manage special projects and initiatives as directed by Ecosystem Enablement leadership - Foster a positive work environment, promote a culture of excellence and accountability - Prepare materials and reports for ER Finance leadership meetings **Qualifications Required:** - Postgraduate preferably MBA (Business, Finance) - 14+ years of experience in financial reporting, technology development, and stakeholder management - Strong strategic thinking, analytical, and problem-solving skills - Excellent organizational and project management abilities - Superior communication and interpersonal skills - High level of discretion and confidentiality - Understanding of global professional services finance and business models At EY, the focus is on building a better working world by creating long-term value for clients, people, and society. Through data and technology, diverse EY teams in over 150 countries provide assurance and help clients grow, transform, and operate across various sectors. Join EY in asking better questions to find new answers for the complex issues facing the world today.,