1,397 Data Scientist Jobs in Navi Mumbai

Job description  *Good understanding of asset classes such as Equity, Fixed Income, Futures & Options, ABS, and MBS. *Need to have migration experience (equity related data migration). *Familiarity with market reference data and corporate actions. *Dealing with client legacy data and will help with conversion activity to convert the legacy data into the client required data format. *Perform data reconciliation and analyze reconciliation breaks in detail. *Excel is a must have. Should be well aware about all the Excel function, charts, data related functions required for cleaning data and removing duplicates. *Should understand Pivot tables. *Strong analytical skills, ready to learn and take ownership. *Collaborate leads and deliver all the deliverables on time. *Portfolio onboarding on IBOR system. *Perform data cleaning, scrubbing, and consistency checks (pre-checks) then loading the data and carrying out the reconciliation (making sure the data is correct) activity. *Understanding of ETL (Extract, Transform, Load) tools is preferred but not mandatory.

Dear Candidate, Were excited to offer a flexible work-from-home position that allows you to earn at your own pace while exploring other remote job opportunities that suit your skills and interests. Positions Available: Data Entry Executive Typist Computer Operator Back Office Support Location: 100% Remote Work from anywhere Job Type: Choose between Part-Time or Full-Time based on your availability Requirements: Basic computer skills Access to a smartphone, laptop, or any internet-enabled device Minimum qualification: 12th pass Who Can Apply Students, freshers, homemakers, retired professionals anyone looking for flexible remote work Open to both male and female applicants Key Highlights: No targets, no pressure Work at your own pace Stress-free environment Timely submission of work is your main responsibility No prior experience needed just a willingness to learn If you're looking for a genuine opportunity to earn from home with full support and flexibility, this is your chance. Apply now and take the first step toward a more balanced work-life experience. Warm regards, HR Team

 We are pleased to inform you about an exciting opportunity for the role of Vendor and Data Management (Operational Backoffice) within our Procurement Operations department. The position is based in Mumbai or Kolkata and follows European Shift - 11am to 9pm. Role Overview: The position involves supporting the procurement operations team in maintaining accurate and compliant supplier master data. You will work closely on vendor onboarding, data validation, ERP system updates, and ensuring smooth procurement workflow execution. This role is ideal for individuals who have strong attention to detail and enjoy working with data, processes, and systems. Key Responsibilities include: Managing vendor master data in ERP systemsSupporting supplier onboarding and documentationEnsuring data quality, compliance, and audit readinessGenerating reports and assisting in process improvementsCoordinating with procurement and finance teams for smooth operations Skills and Qualifications: 0-2 years of experience in procurement operations, vendor master data management, or shared servicesExposure to ERP systems (SAP, Oracle) preferredGood understanding of procurement or supplier management processesProficiency in MS Excel and PowerPointStrong attention to detail and communication skillsAbility to follow SOPs and meet deadlinesIf this opportunity aligns with your experience and career aspirations, please share your updated resume. Our team will review your profile and connect with you for the next steps. Looking forward to hearing from you. Warm Regards,HR Team Capgemini

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

Designation: AM / MT Data Science (Data Analyst) Location: Mumbai  Work Experience: 0.6 months to 3 years Qualification: Bachelors or Masters degree in Engineering,Statistics, Mathematics, Computer Science or related fields roles and responsibilities Data Analysis & Exploration: Analyse structured and unstructured data to identify trends, patterns and actionable insights Perform data profiling, cleaning and transformation Assist in developing dashboards, visual stories using tools like TableauModel development support: Collaborate with Data scientist in Feature engineering, data cleanup / transformation and modelevaluation Support testing and validation of ML/AI models using Python Help interpret model output and translate results for businessBusiness Understanding and Insights: Participate in discussions with business to understand business problems Document, track and report the progress Help in defining the metrics and evaluating impact of AI/ML models post deploymentAI initiatives (not mandatory) Support GenAI workflows (Prompt engineering, annotation, evaluation) Assist in model testing, output comparison or basic RAG pipeline use cases Required Skills Bachelors or Masters degree in Engineering, Statistics, Mathematics, Computer Science or related fields Strong Knowledge of Excel, Google Sheets and SQL Familiarity with Python (Pandas, NumPy, Matplotlib) Analytics and problem solving mindset Understanding of basic ML concepts, Jupyter notebooks etc. Awareness of NLP/LLM concepts (not mandatory)  

We are looking Azure DB - ResilienceGood experience on the design and implementation of resilient, highly available (HA), and fault-tolerant (DR) architectures for Azure database services with technically guided, managed and governed the team. Willing to provide 24x7 support, flexible to work in the shifts Primary skills:KEY RESPONSIBILITIESAzure SQL (DB & MI), MySQL, PostgreSQL, and Cosmos DB(API & vCore): Design and implement resilient architectures for Azure database services including Azure SQL( DB & MI), MySQL, PostgreSQL, and Cosmos DB. Develop and maintain High Availability (HA), Disaster Recovery (DR) solutions including zone redundancy, geo-redundancy, failover groups, read replicas, and backup/restore strategies in accordance with business SLAs and RTO/RPO requirements. Design solutions that include auto-failover, replication, zone and region redundancy, and graceful degradation. Evaluate and implement active-active or active-passive deployment models where appropriate. Create documentation for architecture patterns, failover processes, recovery steps, and operational runbooks. Monitor and optimize performance, and availability of Azure PaaS database workloads. Serve as the subject matter expert (SME) for database resilience in enterprise environments. Conforming to client compliances and expectations This role may entail shift & after-hours support on an on-call basis.Mandatory Technical skills required Good working experience all HA and DR solutions for Azure SQL (DB & MI), MySQL, PostgreSQL, and Cosmos DB (API & vCore). Migrating to Azure Databases Day to-day HA/DR administration activitiesGood to have: Any of the following certificate:o Microsoft Certified: Azure Database Administrator Associate Soft Skills: Good customer connects. Prepare solution presentations. Positive attitude and excellent communication skills to manage customer calls. Excellent problem-solving skills. Good communication. Educational Qualification: BCA/MCA/BE/B.Tech or equivalent.

We are currently hiring for the position of SFMC CDP Data Cloud Developer at Capgemini. Your profile aligns with our requirements, and we would like to share the role details for your review. Role: SFMC CDP Data Cloud DeveloperGrade: C1 Experience Required: 6 to 10 years Location Options: Hyderabad, Bangalore, Chennai, Mumbai, Kolkata, Pune, Noida, Gurugram Role Responsibilities:Drive discussions on SFMC user stories and requirements with stakeholdersArchitect solutions across Marketing and CRM landscapeLead end to end SFMC deliverables for large marketing initiativesCreate use cases, user stories, and proof of conceptsMap Marketing Cloud data models to CRM solutionsDevelop training plans and conduct end user sessionsWork extensively on Email Studio including A B testing, segmentation, personalization, and triggered sendsAct as a key Capgemini representative to bridge business and technical teamsCreate HLD documents and support proposal responses and RFPsProvide best practices for SFMC and CDP implementation and deploymentSupport Salesforce Data Cloud Lead on technical estimations and project planningCoordinate with Salesforce support on upgrades, patches, and configuration best practicesPresent solutions around digital marketing, marketing automation, and data management Technical Skills Required:Minimum 5 years of hands on Marketing Cloud development experienceStrong experience in Salesforce Data Cloud and SFMC integrationsKnowledge of Journey Builder, Automation Studio, Email Studio, Social StudioExperience with Data Cloud modules such as event tracking, API and SDK integration, Salesforce connectors, Apex, JavaScript, and JSONStrong understanding of CDP components including Contact Builder, Audience Builder, Content Builder, and AutomationsCRM integration knowledge with SFDC or other CRM toolsGood understanding of security, roles, access controls, and campaign data governanceExpertise in data architecture, identity resolution, duplicate management, consent management, segmentation, and subscriber managementKnowledge of AMPscript, reporting tools like Tableau or Datorama, and Production deployment processesGood to have experience with mobile push notifications, Interaction Studio, Advertising Studio, and DMPMandatory: Salesforce Data Cloud CertificationGood to Have: SFMC Certification If you are interested in exploring this opportunity, kindly share the following details: Total ExperienceRelevant Experience in SFMC and Data CloudCurrent LocationPreferred LocationCurrent CTCExpected CTCNotice PeriodSalesforce Data Cloud Certification statusUpdated ResumeLooking forward to your response. Thanks & Regards,TA Team Capgemini

Data Engineer Azure Data Factory, SQL, Python, Databricks, ETL  Data Engineer .Net + Azure Data Factory  We are seeking a skilled Data Engineer to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining data systems and architectures that support our business needs. This role requires expertise in working with large datasets, cloud technologies, and advanced data platforms to ensure the availability, quality, and accessibility of data for business analytics and decision-making. Key Responsibilities: Design, build, and maintain data pipelines to collect, process, and store data efficiently from various sources. Work with cross-functional teams to understand business requirements and deliver data solutions that meet the needs of the organization. Optimize data storage and retrieval methods to enhance system performance and data quality. Integrate data from multiple sources (databases, data lakes, cloud storage, etc.) to build comprehensive data sets. Build and maintain data infrastructure, ensuring it is scalable, reliable, and secure. Implement and manage data governance policies, ensuring data accuracy, consistency, and compliance. Conduct data modeling and provide insights into the data through advanced analytics tools and reports. Perform data transformations and data wrangling tasks to prepare data for analysis. Troubleshoot data issues and collaborate with stakeholders to resolve technical challenges. Ensure the integrity of data pipelines and systems by conducting routine testing and validation. Required Skills and Qualifications: Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Proven experience as a Data Engineer or in a similar role, with a minimum of [X] years of experience. Proficiency in data engineering tools and technologies such as SQL, Python, Java, Scala, and ETL frameworks. Experience working with cloud platforms (AWS, Azure, GCP) and data storage solutions (e.g., Redshift, Snowflake, BigQuery). Solid understanding of data modeling, database design, and cloud data architectures. Hands-on experience with data warehousing concepts and tools (e.g., Apache Hive, Apache Spark). Familiarity with data orchestration tools such as Apache Airflow, Azure Data Factory. Knowledge of real-time data streaming technologies (e.g., Kafka, Kinesis) is a plus. Strong problem-solving skills and ability to troubleshoot complex data issues. Familiarity with data security best practices and data privacy regulations (e.g., GDPR, HIPAA).

Senior Snowflake Data Engineer Location: PAN India Experience: 8+ Years Skills: Snowflake, dbt, FiveTran, Snowpipe, AWS (MWAA, S3, Lambda), GitHub CI/CD Job Description We are looking for an experienced Senior Snowflake Data Engineer with strong expertise in modern data warehousing, cloud technologies, and ELT pipeline development. The ideal candidate should have deep hands-on experience in Snowflake, dbt, cloud environments, and CI/CD practices, with the ability to design scalable and efficient data solutions. Key Responsibilities Analyze, integrate, model, and interpret large and complex datasets from multiple sources. Design and implement ELT data pipelines using dbt with Snowflake as the primary cloud data warehouse. Build efficient and scalable data transformation pipelines using dbt at an advanced level. Work with ETL/ELT and data governance tools such as FiveTran and Alation. Utilize advanced Snowflake features such as RBAC, Dynamic Tables, and various optimization techniques. Ensure strong data modelling and warehousing practices across diverse database technologies. Manage orchestrations using Apache Airflow or AWS MWAA, along with CI/CD pipelines. Oversee continuous deployment, monitoring, and operations of data solutions using GitHub Actions, Terraform, and other DevOps tools. Collaborate with technical and non-technical stakeholders through effective communication. Contribute to building future-state Data Warehouse capabilities using cutting-edge technologies. Adapt and work efficiently within Agile methodology. Preferred Qualifications 2+ years of hands-on experience with Snowflake as a Cloud Data Warehouse and Data Lake platform. Strong understanding of cloud environments, especially AWS (S3, Lambda, MWAA). Airline industry domain experience is a plus.

Job Title: Senior Snowflake Data Developer Experience: 6 - 10 Years Location: Bangalore / Mumbai / Chennai / Pune Employment Type: Full-Time Job Description: We are looking for an experienced Senior Snowflake Data Developer with a strong background in data engineering, Snowflake implementation, and cloud-based data solutions. The ideal candidate will have hands-on experience with Snowflake, SQL, Python, and cloud platforms (AWS/Azure), along with excellent analytical and communication skills. Key Responsibilities: Lead and implement end-to-end Snowflake projects, including migration from traditional data warehouses or new implementations. Develop, optimize, and tune SQL and SnowSQL queries for performance and scalability. Apply data modelling principles and best practices for designing and maintaining data structures. Work extensively on AWS/Azure cloud platforms for data processing and integration. Utilize advanced Snowflake features including Data Masking, Tagging, SnowPipe, RBAC controls, Virtual Warehouse sizing, Zero Copy Clone, Data Sharing, Streams & Tasks, Time Travel, Secure Data Sharing, DMF, Iceberg Tables, Dynamic Tables, Micro Partitioning, and Query Profiler. Implement ETL/ELT integration, data ingestion, conversion, and migration workflows. Develop and maintain scripts using Python and PySpark. Collaborate with teams using Jira, Confluence, and Agile methodologies. Prepare and review technical documentation, specifications, and peer reviews. Ensure adherence to cloud best practices and organizational data standards. Good to Have: Snowflake Certification. Hands-on experience with DBT (Data Build Tool). Experience in preparing and reviewing functional and technical specification documents. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Client-facing experience with strong ownership and attention to detail. Immediate joiners will be preferred.

AWS Data Engineer  Requirements  3+ year of experience working on AWS Cloud platform with strong experience in Python Knowledge on AWS services such as - AWS S3, Glue, API Gateway, Crawler, Athena, Cloudwatch, Lambda, EC2, Route53, IAM, Aurora/Dynamic DB, Redshift is an advantage Knowledge/experience on CI/CD deployment tools (CloudFormation, Terraform, Jenkins) Experience/knowledge with streaming technologies is must preferably Kafka Should have knowledge/experience with SQL Experience developing REST API Good analytical skills Knowledge or experience developing microservices Familiar working on Linux platforms Have good understanding on pros and cons and the cost impact of the AWS services being leveraged Good Communication skills

Exp: 2+Years loc:Turbhe np:Immediate to 30 Days  SQL experience  Python coding required Azure or other cloud environment Alteryx experience or other data management tool Tableau experience or other business intelligence tool  Databricks experience or other big data platform   ankitapisal@peshr.com/9004076848

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. ResponsibilitiesIdentify valuable data sources and automate collection processesUndertake preprocessing of structured and unstructured dataAnalyze large amounts of information to discover trends and patternsBuild predictive models and machine-learning algorithmsCombine models through ensemble modelingPresent information using data visualization techniquesPropose solutions and strategies to business challengesCollaborate with engineering and product development teams Other DetailsSalary-41,000/- to 75,000/-Required Experience-0 To 4 YearsMinimum Age-18 RequirementsQualification Required-BCA,MCA,BBA.MBA,PHD,PGDM,All GraduateBachelors degree (or equivalent) in statistics, applied mathematics, or related disciplineWork Department-Data ScientistWork Industry-IT,Automation,Banking,Finance,Education,Telecom,Skills-Proficiency with data mining, mathematics, and statistical analysisfor more clarification contact to this number-7428595632 Also Share Your CV -renuka.mns53@gmail.com RegardsHR Placement Team

As a Lead Data Scientist at Mastercard's Finicity, you will have the opportunity to lead, mentor, and grow the data science team while focusing on developing production-grade services and capabilities. You will be responsible for planning and directing data science/machine learning projects, designing and implementing machine learning models for various financial applications, and continuously measuring, validating, monitoring, and improving the performance of machine learning models. Additionally, you will be expected to propose creative solutions to new challenges, present technical problems and findings to stakeholders effectively, leverage best practices in machine learning and data engineering, and identify areas for improvement within the team. - Lead, mentor, and grow the data science team and tech stack - Plan and direct data science/machine learning projects - Design and implement machine learning models for financial applications - Measure, validate, monitor, and improve performance of machine learning models - Propose creative solutions to new challenges - Present technical problems and findings to stakeholders - Leverage best practices in machine learning and data engineering - Identify areas for improvement within the team - Be a strong communicator and able to effectively convey your vision and roadmap - 8+ years of experience in data science/machine learning model development and deployments - Exposure to financial transactional structured and unstructured data is a plus - Strong understanding of NLP, Statistical Modeling, Visualization, and advanced Data Science techniques/methods - Experience with SQL/Database, Kubernetes, Containers, Docker, REST APIs, Event Streams, etc. - Familiarity with technologies such as Tensorflow, Python, Sklearn, Pandas, etc. - Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics (M.S preferred),

As a Data Scientist in our company, you will have the following responsibilities: - Designing, developing, and deploying sophisticated machine learning models to solve complex business challenges. - Building and optimizing end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Driving Generative AI initiatives, creating innovative products and solutions. - Conducting in-depth analysis of large, complex datasets to generate actionable insights and recommendations. - Working closely with cross-functional stakeholders to understand business requirements and deliver data-driven strategies. In addition to the above key responsibilities, you will also be expected to: - Write clean, efficient, and maintainable code in Python and at least one other language (e.g., C#, Go, or equivalent). - Participate in code reviews, ensuring adherence to best practices and coding standards. - Stay abreast of the latest industry trends, tools, and technologies in Data Engineering, Data Science, and Generative AI. - Document processes, models, and workflows to ensure knowledge sharing and reproducibility.,

As a Lead Data Scientist at the company, you will be utilizing your expertise in Generative AI (GenAI), Large Language Models (LLM), Machine Learning (ML), and Natural Language Processing (NLP) to lead projects from conception to deployment. You will play a crucial role in the advanced analytics team, contributing to the creation and development of insights products for corporate clients and in-house products. Key Responsibilities: - Lead the design, development, and implementation of advanced ML models and algorithms. - Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. - Mentor and guide junior data scientists in best practices and methodologies. - Stay updated with the latest advancements in GenAI, LLM, and NLP technologies. - Create ML models and advanced algorithms to identify and flag risky transactions & card members. - Work on innovative Generative AI-based solutions to enhance user experience of digital products and increase team productivity. - Gain expertise on data understanding and tables to maximize their usage in insight products. - Deploy models in enterprise tools and monitor their performance over time. - Work with product, UX, and tech teams to deliver products in an agile framework. - Conceptualize, develop, and prototype new insights products/product/feature enhancements for travel optimization. Qualifications: - 4+ years of experience in data science or a related field. - Proficiency in programming languages such as Python, R Programming, Machine Learning, Deep Learning, Generative AI, LLM, Prompt Engineering - Azure, AWS - SQL, MongoDB. - Strong understanding of machine learning frameworks. - Experience with NLP techniques and tools. - Excellent problem-solving skills and ability to work in a fast-paced environment.,

As a member of the Digital Advisory team at Arcadis, your role will involve assisting in data extraction from various sources such as PDFs, images, and databases. You will also support optical character recognition processes for digitizing data from images and contribute to understanding data through natural language processing. Your responsibilities will extend to collaborating with business domain experts to derive business value drivers and documenting model design choices and algorithm selection processes. Additionally, you will collaborate effectively in cross-functional teams within the CoE and the organization at large, proactively seeking opportunities to contribute beyond assigned tasks. Qualifications & Experience: - Fresh graduates or candidates with 0-1 year of experience as a Python Developer/ Data Scientist - Proficiency in Python with a focus on developing foundational skills - Exposure to NLP and image processing concepts - Familiarity with version control systems like Git - Basic understanding of Azure deployments - Aptitude for OCR, ML model training, and transfer learning - Willingness to work with unstructured data formats such as PDFs, DOCX, and images - Familiarity with data science best practices and the ML lifecycle - Tool Exposure: Basic understanding of Power BI, KNIME, Git, Azure, Python, and R programming - Data mining, cleaning, and engineering skills - Visualization and data analysis capabilities - Software development experience Arcadis is committed to providing equal opportunities for all employees to be their best and contribute to the company's success. By joining Arcadis, you will have the opportunity to work on meaningful projects that deliver sustainable solutions for a more prosperous planet. Your unique experience and expertise will be valued as you carve your career path and make a significant impact. Join Arcadis and be a part of creating a lasting legacy.,

Role Overview: You will collaborate with cross-functional teams to design, develop, and implement innovative solutions using Large Language Models (LLMs) and the latest data science technologies. Your role will involve understanding business problems and implementing machine learning models to solve complex business problems. Additionally, you will assist in the analysis and interpretation of complex datasets to extract valuable insights and drive data-driven decision-making. Supporting the development and deployment of machine learning models and algorithms to enhance various aspects of insurance operations will be a key responsibility. You will also contribute to the creation of data pipelines and ETL processes to ensure efficient data collection, processing, and storage. Furthermore, your involvement in the research and evaluation of emerging technologies and tools will continuously improve solutions and keep abreast of industry trends. Leading and mentoring team members, effective communication with stakeholders, and delivering high-quality results on time and within budget are essential aspects of this role. Key Responsibilities: - Collaborate with cross-functional teams to design, develop, and implement innovative solutions using LLMs and the latest data science technologies. - Understand business problems and implement machine learning models to solve complex business problems. - Assist in the analysis and interpretation of complex datasets to extract valuable insights and drive data-driven decision-making. - Support the development and deployment of machine learning models and algorithms to enhance various aspects of insurance operations. - Contribute to the creation of data pipelines and ETL processes to ensure efficient data collection, processing, and storage. - Participate in the research and evaluation of emerging technologies and tools to continuously improve solutions and stay ahead of industry trends. - Lead and mentor team members, communicate effectively with stakeholders, and deliver high-quality results on time and within budget. Qualification Required: - Ph.D. in data Science or MSc (Maths/Statistics) with 3+ years of experience. - Formal training & certification in data science/AI/ML is required. - Strong enthusiasm and passion for new technologies, especially Large Language Models (LLMs) and their applications. - Good understanding of data science concepts, including statistical analysis, machine learning, and predictive modeling. - Familiarity with big data technologies such as Hadoop, Spark, or similar frameworks. - Proficiency in programming languages such as Python, R, or Java. - Knowledge of SQL and experience with databases.,

As a Senior/Lead Data Engineer at our company in Mumbai, you will be responsible for the following: - Senior Data Scientist with 6-8 years of IT Experience and atleast 5+ years as a Data Engineer - Kafka integration to Databricks - Structured Streaming concepts including Processing modes, output modes, and checkpointing - Medallion Architecture knowledge (Bronze, Silver, Gold layers) - Experience with Databricks Autoloader - Proficiency in working with large volumes of data - Implementation of performance optimization techniques such as partitioning, caching, and cluster tuning - Client facing experience - Excellent communication skills Qualifications required for this role: - 6-8 years of IT Experience with a focus on Data Engineering - At least 5 years of experience specifically as a Data Engineer - Proficiency in Kafka integration to Databricks - Understanding of Structured Streaming concepts like Processing modes, output modes, and checkpointing - Knowledge of Medallion Architecture (Bronze, Silver, Gold layers) - Hands-on experience with Databricks Autoloader - Ability to work with large volumes of data - Skills in performance optimization techniques such as partitioning, caching, and cluster tuning - Previous client facing experience - Strong communication skills No additional details of the company were provided in the job description. As a Senior/Lead Data Engineer at our company in Mumbai, you will be responsible for the following: - Senior Data Scientist with 6-8 years of IT Experience and atleast 5+ years as a Data Engineer - Kafka integration to Databricks - Structured Streaming concepts including Processing modes, output modes, and checkpointing - Medallion Architecture knowledge (Bronze, Silver, Gold layers) - Experience with Databricks Autoloader - Proficiency in working with large volumes of data - Implementation of performance optimization techniques such as partitioning, caching, and cluster tuning - Client facing experience - Excellent communication skills Qualifications required for this role: - 6-8 years of IT Experience with a focus on Data Engineering - At least 5 years of experience specifically as a Data Engineer - Proficiency in Kafka integration to Databricks - Understanding of Structured Streaming concepts like Processing modes, output modes, and checkpointing - Knowledge of Medallion Architecture (Bronze, Silver, Gold layers) - Hands-on experience with Databricks Autoloader - Ability to work with large volumes of data - Skills in performance optimization techniques such as partitioning, caching, and cluster tuning - Previous client facing experience - Strong communication skills No additional details of the company were provided in the job description.

Urgent Recruitment for Data Entry Positions at Work From Home. Executive Summary This proposal outlines the recruitment strategy for filling the Data Entry positions at Data Entry Services. The company aims to attract qualified candidates who can efficiently manage data entry tasks while ensuring accuracy and confidentiality. This initiative will enhance operational efficiency and support the growth objectives of the organization.  Business Overview  Company Name: Data Entry Services  Location: Pan India Nature of Work: Work from Home Position Offered: Data Entry Executive  Experience: 0 to 3 years Salary & Incentives: 24,800 to 68,800 Weekly & Monthly Nature of Work:  Next StepsTo move forward with your application,    Please contact us via WhatsApp at :- 9161178172      . Primary Number :    WhatsApp:-  9161178172   WhatsApp Link -:  8varv7   Executive name -   MANAS BARIK  Data Entry Services is recognized as a leading provider of data management solutions, dedicated to assisting businesses in optimizing their data processes. Our focus on accuracy and efficiency enables our clients to make informed decisions based on reliable information. Job Description The selected candidates will be responsible for: - Accurately entering and updating data into databases or spreadsheets.- Verifying data for completeness before system entry.- Maintaining confidentiality and security of all entered data.- Assisting with data clean-up and organization projects.- Communicating effectively with team members to ensure timely completionof tasks.  Key Accountabilities 1. Data Accuracy: Ensure all data entered is accurate and complete. 2. Confidentiality Maintenance: Safeguard sensitive information throughout the data entry process. 3. Task Efficiency: Complete assigned tasks within stipulated timelines while managing multiple priorities. 4. Communication Skills: Maintain clear communication with team members regarding project status and challenges. Compensation Structure Candidates will receive a competitive salary ranging from 19,600 to 86,600 weekly or monthly, depending on experience and performance. This flexible compensation structure is designed to attract top talent across India without imposing performance targets. Recruitment Strategy To effectively reach potential candidates, we propose the following strategies: 1. WhatsApp Outreach: Utilize WhatsApp as a primary communication tool forapplicants, streamlining the application process. We recommend Message on WhatsApp to discuss this proposal further and finalize the recruitment strategy. Thank you for considering this proposal. Best Regards, Data Entry Services.