38 Big Data Analyst Jobs in Mumbai

Hello Folks, Hiring Currently !! Job Title: GCP Data Engineer Contact: Pooja Patil (poojapatil@acme-services.in) Job Details: - Skills: - BigQuery - GCP Big Data - Airflow - PySpark/Spark- Experience: 5+ years- Locations: Bangalore, Pune, Mumbai, Gurgaon  If you're interested and match the requirements, you can share your resume with the mentioned email address.

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.

Job Description  We are seeking a seasoned GCP Data Analytics professional with extensive experience in Big Data technologies and Google Cloud Platform services to design and implement scalable data solutionsDesign develop and optimize data pipelines using GCP BigQuery Dataflow and Apache Airflow to support largescale data analytics Utilize the Big Data Hadoop ecosystem to manage and process vast datasets efficiently Collaborate with crossfunctional teams to gather requirements and deliver reliable data solutions Ensure data quality consistency and integrity across multiple data sources Monitor and troubleshoot data workflows to maintain high system availability and performance Stay updated with emerging trends and best practices in GCP data analytics and big data technologiesRoles and Responsibilities  Implement and manage ETL processes leveraging GCP services such as BigQuery Dataflow and Airflow Develop.  Scalable maintainable and reusable data pipelines to support business intelligence and analytics needs.  Optimize SQL queries and data models for performance and cost efficiency in BigQuery.  Integrate Hadoop ecosystem components with GCP services to enhance data processing capabilities  Automate workflow orchestration using Apache Airflow for seamless data operations  Collaborate with data engineers analysts and stakeholders to ensure alignment of data solutions with organizational goals  Participate in code reviews testing and deployment activities adhering to best practices   Mentor junior team members and contribute to continuous improvement initiatives within the data engineering team Mandatory Skills :    GCP Storage,GCP BigQuery,GCP DataProc,GCP Cloud Composer,GCP DMS,Apache airflow,Java,Python,Scala,GCP Datastream,Google Analytics Hub,GCP Workflows,GCP Dataform,GCP Datafusion,GCP Pub/Sub,ANSI-SQL,GCP Dataflow,GCP Data Flow,GCP Cloud Pub/Sub,Big Data Hadoop Ecosystem

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

As a dynamic and organized self-starter interested in joining Sciative's Tech Team, you will have the opportunity to collaborate with data scientists, software engineers, and business stakeholders. Your primary responsibilities will include: - Collaborating with team members to understand data requirements and design efficient data models. - Developing, implementing, and maintaining robust and scalable data pipelines, ETL processes, and data integration solutions. - Optimizing data processing and storage systems to handle large volumes of structured and unstructured data efficiently. - Performing data cleaning, normalization, and enrichment tasks to prepare datasets for analysis and modeling. - Monitoring data flows and processes to identify and resolve data-related issues and bottlenecks. - Contributing to the continuous improvement of data engineering practices and standards within the organization. - Staying up-to-date with industry trends and emerging technologies in data engineering, artificial intelligence, and dynamic pricing. To be successful in this role, you should possess the following qualifications: - Strong passion for data engineering, artificial intelligence, and problem-solving. - Solid understanding of data engineering concepts, data modeling, and data integration techniques. - Proficiency in programming languages such as Python, SQL, and Web Scraping. - Understanding of databases like NoSQL, relational database, In-Memory database, and technologies like MongoDB, Redis, Apache Spark would be an add-on. - Knowledge of distributed computing frameworks and big data technologies (e.g., Hadoop, Spark) is a plus. - Excellent analytical and problem-solving skills, with a keen eye for detail. - Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment. - Self-motivated, quick learner, and adaptable to changing priorities and technologies.,

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.,

You are looking for a Data Engineer who enjoys solving complex data problems and building systems that scale. In this role, you will work on designing, developing, and maintaining data pipelines that help your teams make better, faster decisions. If you love working with large datasets, automating workflows, and optimizing data processes, you will fit right in. **Key Responsibilities:** - Build and maintain reliable, high-performing data pipelines for ETL/ELT processes. - Write clean and efficient code using Python or Scala to handle data processing tasks. - Use SQL extensively to query, clean, and transform large datasets. - Work with big data tools such as Apache Spark, Airflow, and Kafka to manage and orchestrate workflows. - Collaborate with cloud platforms (AWS, Azure, or GCP) to design and manage data infrastructure. - Partner with data analysts, scientists, and product teams to ensure data accuracy and availability. **Qualifications Required:** - Strong experience in building and maintaining data pipelines. - Hands-on coding skills in Python or Scala. - Solid understanding of SQL and database concepts. - Familiarity with distributed data systems and streaming technologies (Spark, Kafka, Airflow, etc.). - Experience working on cloud-based data platforms (AWS, Azure, or GCP). - A problem-solver mindset with attention to detail and a passion for clean, efficient data systems. No additional details of the company are present in the job description. You are looking for a Data Engineer who enjoys solving complex data problems and building systems that scale. In this role, you will work on designing, developing, and maintaining data pipelines that help your teams make better, faster decisions. If you love working with large datasets, automating workflows, and optimizing data processes, you will fit right in. **Key Responsibilities:** - Build and maintain reliable, high-performing data pipelines for ETL/ELT processes. - Write clean and efficient code using Python or Scala to handle data processing tasks. - Use SQL extensively to query, clean, and transform large datasets. - Work with big data tools such as Apache Spark, Airflow, and Kafka to manage and orchestrate workflows. - Collaborate with cloud platforms (AWS, Azure, or GCP) to design and manage data infrastructure. - Partner with data analysts, scientists, and product teams to ensure data accuracy and availability. **Qualifications Required:** - Strong experience in building and maintaining data pipelines. - Hands-on coding skills in Python or Scala. - Solid understanding of SQL and database concepts. - Familiarity with distributed data systems and streaming technologies (Spark, Kafka, Airflow, etc.). - Experience working on cloud-based data platforms (AWS, Azure, or GCP). - A problem-solver mindset with attention to detail and a passion for clean, efficient data systems. No additional details of the company are present in the job description.

As a Full Stack Web Developer specializing in Artificial Intelligence with big data technologies, your role will involve: - Designing and developing web applications with a focus on Artificial Intelligence - Leading technology stack decisions to enhance solution efficiencies and scalability - Ensuring the robustness of applications through unit tests and quality control measures - Following an agile development process to provide rapid solutions to business challenges - Soliciting feedback from internal and external clients to continuously improve solutions - Implementing software design, development, testing, and documentation best practices Qualifications required for this role include: - Strong proficiency in Python, Django, React, Flask, Flutter, Bootstrap, HTML, CSS, and JavaScript - Expertise in Full Stack Web Application development - Prior experience in AI, ML, Deep Learning, Image processing, and computer vision preferred - Sound knowledge in algorithm design, RDBMS, text analytics, MongoDB, Redis, Docker, Containerization, Kubernetes, AWS, and Kafka - Excellent problem-solving skills and ability to prioritize tasks effectively - Self-motivated individual capable of working with minimal supervision - Entrepreneurial mindset with a positive attitude - Strong academic background with a significant degree in Computer Science or IT - 4 to 6 years of relevant work experience Please note that the company's name or any additional details were not provided in the job description.,

Executive Assistant to CEO - Female onlyJob Brief: We are looking for an Executive Assistant to perform a variety of administrativeprocess follow up tasks in line with CEO work.Job Description:1. Acting as a point of contact among CEO, Employees and External Partners. Provide operational (Process Follow up) service that is in line with the CEOs work and preferences. Review operating practices and implement improvements where necessary Prepare correspondence on behalf of the CEOs, including the drafting of general replies. Take Minutes of Meetings, Response on Emails and call. Managing information flow in as accurately and timely. Manage CEOs calendars, appointments and set up meetings Manage and maintain the CEOs diary and email account. Filter general information, queries, phone calls and invitations to the MD by redirecting or taking forward such contact as appropriate. Conduct research, collect and analyse data to prepare reports and documents Make travel and accommodation arrangements Handling confidentiality at the highest level.Job Specification:1. Only Female Candidate Required Experience Min.10 Yrs. as EA to CEO with big manpower organization (minimum 1000 nos. Manpower) and dealing with many department heads. Qualification Marks obtained in education exam above 75% Must experience in process follow up tasks in line with CEO work Good in MS-Excel, MS-Office, MS-Power Point Impeccable English Skills - Speaking and Writing both Ready for late evening sitting at office and go to outstation if required. Knowledge of Planners, schedulers, calendars and office procedures Strong communication, organizational and time management and leadership skills Be Energetic & Self Motivated  If you are interested kindly send their updated resume on this id hr2.jobsconsultacy@gmail.com & call for more details at 8700311618  

A Business Development Manager (BDM) is responsible for driving business growth by identifying new opportunities, building strategic relationships with clients and partners, and developing strategies to increase revenue and market presence. This is a dynamic role that blends strategic planning with sales and relationship management skills. Key ResponsibilitiesThe primary duties of a Business Development Manager often include:    Market Research & Opportunity Identification: Analyzing market trends, competitors, and potential new customer segments or geographic markets to identify growth opportunities.    Lead Generation & Prospecting: Pursuing leads through various methods, including cold calling, networking, and social media, and qualifying them to ensure they align with company goals.    Relationship Building: Cultivating and maintaining strong, long-term relationships with prospective and existing clients, partners, and key industry stakeholders.    Sales Strategy & Execution: Developing and implementing effective sales strategies and business plans to achieve revenue targets and drive sales growth.    Proposal Development & Negotiation: Preparing and delivering persuasive presentations and proposals, negotiating contract terms, and closing deals.    Cross-Functional Collaboration: Working closely with internal teams, such as marketing, sales, product development, and finance, to ensure alignment and seamless execution of strategies.    Performance Tracking & Reporting: Monitoring sales performance using Key Performance Indicators (KPIs), forecasting revenue, and reporting progress to senior management.Required Skills and QualificationsSuccessful Business Development Managers typically possess a combination of soft and technical skills: Skills:    Strong Communication & Interpersonal Skills: Essential for building rapport, presenting ideas, and negotiating effectively with a variety of people.    Strategic & Analytical Thinking: The ability to see the "big picture," analyze data, identify trends, and develop long-term growth strategies.    Negotiation Skills: A proven ability to persuade, influence, and close deals that are mutually beneficial.    Project Management & Organizational Skills: The ability to manage multiple projects, prioritize tasks, and meet deadlines efficiently.    Proficiency in CRM Software: Experience using Customer Relationship Management (CRM) tools (e.g., Salesforce, HubSpot) for tracking leads and managing client interactions is often required.    Self-Motivation & Resilience: The drive to seek new business opportunities, work independently, and handle rejection in a performance-driven environment. Qualifications:    A bachelor's degree in business administration, marketing, or a related field is commonly required, with an MBA sometimes preferred for senior roles.    Several years of experience in a sales, marketing, or a related client-facing role, with a proven track record of achieving sales targets or driving revenue growth.    Relevant industry-specific knowledge is often a valuable asset

were proud to stand at the forefront of the Big Data revolution. Using the latest analytics tools and processes, were able to maximize our offerings and deliver unparalleled service and support. To help carry us even further, were searching for an experienced data analyst to join our team. The ideal candidate will be highly skilled in all aspects of data analytics, including mining, generation, and visualization. Additionally, this person should be committed to transforming data into readable, goal-oriented reports that drive innovation and growth. ResponsibilitiesWork closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makersProactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivityCreate and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sourcesDefine and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solutionDevelop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets 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 mathematics, computer science, economics, or statisticsWork Department-Data AnalystWork Industry-IT,Automation,Banking,Finance,Education,Telecom,Skills-Proven analytics skills, including mining, evaluation, and visualizationfor more clarification contact to this number-9355884396 Also Share Your CV -shah.priyanka7840@gmail.com RegardsHR Placement Team

Key Responsibilities Design, develop, and maintain robust applications and APIs using Python. Work with cross-functional teams (Data Science, Analytics, DevOps) to implement AI/ML models into production. Build data pipelines and perform data wrangling, transformation, and analysis. Contribute to analytics dashboards and reporting systems for business insights. Optimize code for performance, scalability, and reliability. Ensure best practices in version control, testing, CI/CD, and documentation. Stay updated with emerging technologies (AI, ML, analytics, DevOps). Must-Have Skills Strong programming skills in Python (mandatory). Hands-on experience with Python libraries/frameworks such as Pandas, NumPy, Flask/Django, FastAPI. Proficiency in data manipulation, scripting, and automation. Strong understanding of OOP, design patterns, and software engineering principles. Familiarity with databases (SQL/NoSQL) Good-to-Have Skills Knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face). Experience in data visualization and analytics tools (Matplotlib, Seaborn, Power BI, Tableau). Exposure to cloud platforms and services Understanding of containerization & orchestration (Docker, Kubernetes). Knowledge of big data tools (Spark, Hadoop) and streaming platforms (Kafka). Experience integrating ML/AI models into production systems.

Job Title: Databricks Developer Experience: 48 Years Location: Remote Job Summary We are looking for an experienced Databricks Developer with strong expertise in PySpark, SQL, Python, and hands-on experience deploying data solutions on AWS (preferred) or Azure. The ideal candidate will design, develop, optimize, and maintain scalable data pipelines and analytics solutions using the Databricks unified data platform. Key Responsibilities Design, build, and optimize ETL/ELT pipelines using Databricks and PySpark. Develop scalable and high-performance data processing workflows on AWS (EC2, S3, Glue, Lambda, IAM) or Azure (ADF, ADLS, Synapse). Implement and manage Delta Lake for ACID transactions, schema evolution, and time-travel data needs. Write efficient and complex SQL queries for data transformation, validation, and analytics. Build and maintain data ingestion frameworks, including streaming (Kafka, Kinesis, EventHub) and batch processing. Optimize Databricks clusters, jobs, workflows, and performance tuning PySpark code. Collaborate with data engineers, analysts, and product teams to define data requirements and deliver high-quality solutions. Ensure data governance, security, compliance, and best practices across cloud environments. Troubleshoot production pipelines and support CI/CD deployments for Databricks jobs. Required Skills & Experience 48 years of experience in Data Engineering or Big Data development. Strong hands-on experience with Databricks (clusters, jobs, notebooks, workflows). Advanced proficiency with PySpark for batch/stream processing. Strong programming skills in Python. Expertise in SQL (complex transformations, window functions, optimization). Hands-on experience working with AWS (preferred) or Azure cloud services. Experience with Delta Lake, parquet, and data lake architectures. Familiarity with CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins, etc.). Good understanding of data modeling, performance tuning, and distributed computing.  APPLY: sanjai@vyystems.com

As the BI/BW Lead at DMart, you will be responsible for leading and managing a dedicated SAP BW team to ensure timely delivery of Reports, Dashboards, and analytics solutions. Your role will focus on managing the team effectively, ensuring that all SAP BW operational support tasks and Development projects are completed with high quality and efficiency. You will also be responsible for the stability and performance of the SAP BW environment, overseeing daily support activities, and ensuring seamless data flow and reporting across the organization. Acting as the bridge between business stakeholders and your technical team, you will play a pivotal role in maintaining and enhancing DMart's data ecosystem. - Lead and manage the SAP BW & BOBJ team to ensure efficient workload distribution and timely completion of tasks. - Oversee the daily operational support of the SAP BW & BOBJ environment, ensuring stability and performance. - Provide direction and guidance to the team for issue resolution, data loads, and reporting accuracy. - Act as the primary point of contact for business users and internal teams regarding SAP BW support and enhancements. - Ensure the team follows best practices in monitoring, error handling, and performance optimization. - Drive the continuous improvement of support processes, tools, and methodologies. - Proactively identify potential risks and bottlenecks in data flows and take corrective actions. - Ensure timely delivery of data extracts, reports, and dashboards for business-critical decisions. - Provide leadership in system upgrades, patching, and data model improvements. - Facilitate knowledge sharing and skill development within the SAP BW team. - Maintain high standards of data integrity and security in the BW environment. - Bachelors/Masters Degree in Computer Science, Information Systems, Engineering, or a related field. - SAP BW certifications are preferred but not mandatory. Additional Details: Strong functional and technical understanding of SAP BW/BW on HANA & BOBJ. At least 5 years of working experience on SAP Analytics. Solid understanding of ETL processes and data extraction. Experience working on Data lakes like Snowflake, Big Query, Data bricks, and Dashboard tools like Power BI, Tableau would be an added advantage. Experience working in Retail, CPG, or SCM would be an added advantage. Experience in managing SAP BW support activities and coordinating issue resolution. Strong stakeholder management skills with the ability to translate business needs into technical actions. Excellent problem-solving and decision-making abilities under pressure.,

Role Overview: As a Chartered Accountant at Easemint, you will be responsible for analyzing financial and operational results, conducting financial due diligence, collaborating with clients, mentoring team members, and contributing to firm-wide learning and process improvement. You will have the opportunity to work with founders, VCs, and startups across various sectors, in a fast-paced and dynamic project environment. Key Responsibilities: - Analyze financial and operational results by reviewing records, MIS, and engaging in discussions with management - Perform detailed analysis of balance sheets, P&L, and cash flow statements - Prepare zero-defect, review-ready Excel-based workpapers - Build and interpret business drivers and operational KPIs - Conduct benchmarking and industry research - Assist in financial due diligence, IM drafting, and investor-facing work - Collaborate with CXOs and fund teams to understand business context - Present insights and findings clearly and concisely - Deliver high-quality work within tight turnaround times - Manage data flow, follow-ups, and stakeholder coordination - Mentor junior team members through hands-on training - Participate in reviews and knowledge-sharing sessions - Contribute to firm-wide learning and process improvement Qualifications Required: - Chartered Accountant (CA) with 13 years PQE - Strong audit background, preferably from Big 4 or reputed mid-size firms - Exposure to due diligence, MIS, FP&A, or investment banking is a plus - Excellent Excel and PowerPoint skills - Clear written and verbal communication - Self-starter with strong ownership and time management skills - Open to travel and dynamic project environments About Easemint: Easemint is a boutique management consulting firm specializing in transaction advisory and financial consulting for startups and high-growth businesses. Founded by ex-Alvarez & Marsal and EY professionals, Easemint has worked with 250+ companies across 130+ transactions. The company partners with founders, investors, and CXOs to drive strategic finance outcomes across fundraise support, MIS, due diligence, and internal controls. Join Easemint for high ownership roles with visibility and impact, a steep learning curve with diverse projects, and an entrepreneurial culture with a sharp and driven team.,

As a Tech Services Specialist at Sciative, you will play a crucial role in ensuring the smooth delivery of all tech services related to our AI-powered SaaS products. Your responsibilities will include: - Setting up client data and API feeds in our SaaS products - Resolving any integration issues through data reconciliation activities - Ensuring proper backup and archiving of essential data - Creating user roles and managing access controls for our SaaS products - Overseeing master data integrity and market intelligence data capture process - Monitoring system logs and maintaining the health of cloud and local machines - Managing access control on local VPNs and tracking laptop browsing logs for security compliance - Conducting health checks on local tech infrastructure and managing inventory - Creating technical jobs to support business operations and product development activities You will utilize internal tools to accomplish client data delivery tasks effectively. Your meticulous work as a Tech Services Specialist will have a significant impact at Sciative by: - Ensuring data accuracy and reliability for smooth system operations - Facilitating scalable growth by streamlining setups and operations for new client onboarding - Supporting operational excellence through timely validations and issue resolution In this role, you will gain a transformative career experience, including: - Working with advanced technologies like AI, API integrations, automations, data intelligence, and more - Collaborating with smart colleagues and gaining cross-industry exposure in sectors like e-commerce, travel, retail, and hospitality - Solving real-world problems using cutting-edge technologies such as AI, machine learning, big data, and cloud services - Thriving in a fast-paced startup environment where your contributions directly impact company growth To be successful in this role, you should have: - Educational background in BSc IT, MCA, or a related field in Computer Science - Basic knowledge of Python for scripting and automation - Experience working with large datasets, data tools, and dashboards - Familiarity with databases, logs, and data validation processes - Proficiency in Excel/Google Sheets; SQL knowledge is a plus - Strong analytical skills, attention to detail, and problem-solving mindset - Clear communication skills and ability to collaborate effectively - Proactive attitude, eagerness to learn, and ability to multitask in a fast-paced environment,

Role Overview: You will be responsible for hands-on (Full Stack) web application design and development focusing on Artificial Intelligence using big data technologies. Your role will involve ensuring solution efficiencies, scalability, and providing technology stack leadership. Additionally, you will be required to develop foolproof and robust applications through unit tests and other quality control measures. It is essential to follow an agile development process to enable rapid solutions to business challenges. You will gather inputs from both internal and external clients and continuously strive to enhance solutions. Moreover, you will be involved in setting up and adhering to software design, development, testing, and documentation best practices. Key Responsibilities: - Conduct data engineering tasks such as extracting and parsing data from online and local sources, cleaning up data, and auditing data for accuracy, consistency, and completeness. - Utilize data analytics techniques including tools like Excel, SQL, Python, SAS, R, MATLAB, etc., to extract valuable and actionable insights. - Summarize insights through data processing and visualization methods, creating powerful charts, reports, and slides. - Manage project operations for internal and external client projects using proprietary tools for data engineering, analytics, and visualization activities. Take charge of project deliveries, escalation, continuous improvement, and ensuring customer success. Qualifications Required: - Strong proficiency in Python, Django, React, Flask, Flutter, Bootstrap, HTML, CSS, JavaScript, and SQL. - Expertise in Full Stack Web Application development is mandatory. - Prior background in AI, ML, Deep Learning, Image processing, and computer vision is preferred. - Sound knowledge of algorithm design, database programming (RDBMS), and text analytics. - Familiarity with MongoDB, Redis, Docker, Containerization, Kubernetes, AWS, Kafka is advantageous. - Excellent problem-solving skills with the ability to break down problems into manageable milestones, prioritize high impact deliverables, identify bottlenecks, and find effective solutions. - Self-learner with a high level of curiosity, self-starting ability, and the capacity to work with minimal supervision. - Possess an entrepreneurial mindset along with a positive attitude. - Demonstrated track record of excellence in academics or relevant areas, with a significant B.E/B.Tech in Computer Science/IT. - 4 to 6 years of relevant experience is required for this role.,

As a Talent Acquisition Specialist at Sciative, you will play a crucial role in building a robust organization by leading end-to-end recruitment of mid and senior level leadership team members in both Tech and Business roles. Your responsibilities will include understanding organizational needs, designing relevant content for Job Descriptions, and developing targeted marketing tactics to attract external talent. You will also consult with Hiring Managers and senior leaders, analyze KPIs, and ensure the efficiency of the hiring process. **Key Responsibilities:** - Build a robust organization by leading recruitment of mid and senior level leadership team members. - Support building processes, policies, and workflows that are compliant, efficient, scalable, and reflect Sciative values. - Design and define Job Descriptions in collaboration with hiring managers and post them on hiring portals. - Develop targeted marketing tactics to attract external talent and encourage brand ambassadors. - Consult with Hiring Managers and senior leaders, calibrate recruitment needs, and expedite the closing of roles. - Analyze KPIs and data to support the efficiency of the hiring process. **Qualifications Required:** - 2-4 years of experience in Talent Acquisition at an IT company or talent hunt company. - Graduate/MBA from a reputed institute. - Proficiency in interviewing, assessment, and selection processes. - Experience in efficient sourcing channels and direct sourcing. - Strong persuasion and motivation skills. - Excellent verbal and written communication skills. Join Sciative and be part of a dynamic team that is shaping the future of dynamic pricing through artificial intelligence and big data. With a focus on becoming the most customer-oriented company, Sciative offers a challenging and rewarding work environment where your talent and drive can make a real impact.,

Role Overview: As a Software Developer, your primary responsibility will be to engage in various software/web application development tasks to support both internal and external projects. Your role will involve ensuring solution efficiencies, scalability, and technology stack leadership. You will be required to maintain robust applications through unit tests and other quality control measures. Following an agile development process, you will contribute towards providing rapid solutions to business challenges. Gathering inputs from both internal and external clients, you will continuously strive to enhance solutions. It will be essential for you to adhere to software design, development, testing, and documentation best practices. Key Responsibilities: - Facilitate solution efficiencies, scalability, and technology stack leadership. - Ensure foolproof and robust applications through unit tests and quality control measures. - Follow an agile development process to provide rapid solutions to business challenges. - Gather inputs from internal and external clients to improve solutions continuously. - Adhere to software design, development, testing, and documentation best practices. - Engage in data engineering tasks such as extracting and parsing data from online and local sources, data cleanup, and auditing for accuracy and completeness. - Utilize tools like Excel, SQL, Python, SAS, R, MATLAB, etc. to extract valuable insights. - Summarize insights through powerful charts, reports, and slides for data processing and visualization. - Manage data storage using MySQL (AWS RDS) and MongoDB. - Work with application frameworks such as React, React Native, and Django. - Utilize data integration technologies like RESTful APIs, AWS S3, and UI data uploads. - Utilize proprietary tools for performing data engineering, analytics, and visualization activities for internal and external client projects. - Take ownership of project deliveries, escalation, continuous improvement, and ensuring customer success. - Modify software to fix errors, adapt to new hardware, enhance performance, or upgrade interfaces. - Follow system testing and validation procedures. Qualifications Required: - Strong knowledge of MVC frameworks, SQL coding, and proficiency in at least one of AngularJS, Django, Flask, Ruby on Rails, or NodeJS. - Proficiency in software development, algorithm design, database programming (RDBMS), and text analytics. - Knowledge of NoSQL and Big Data technologies like MongoDB, Apache Spark, Hadoop stack, and Python data science stack is a plus. - Strong problem-solving skills with the ability to break down problems into incremental milestones, prioritize high-impact deliverables, identify bottlenecks, and find solutions. - Self-learner with a high level of curiosity, self-starting capabilities, and the ability to work with minimal supervision. - Entrepreneurial mindset with a positive attitude, along with a track record of excellence in academics or non-academic areas. - Excellent written and oral communication skills, interpersonal skills, and comfort working in teams to drive team success.,

As a Junior Quality Assurance Functional Tester at Reliance Industries Limited, you will play a crucial role in ensuring the highest quality and performance of our software solutions. Your responsibilities will include developing and executing functional test cases, collaborating with development teams, creating automated test scripts, analyzing test results, participating in code reviews, and monitoring production system performance. To excel in this role, you should have proficiency in statistical analysis, familiarity with machine learning, strong skills in Python programming, experience in data visualization, competency in predictive modeling, understanding of big data principles, knowledge of SQL, and the ability to perform data mining. **Roles And Responsibilities:** - Develop and execute functional test cases to assess software quality comprehensively. - Collaborate with development teams to understand application functionalities and scope of testing. - Create and maintain automated test scripts to enhance the consistency and speed of testing phases. - Analyze test results, document defects, and ensure correct resolution through retesting. - Participate in code reviews to provide insights for enhancing code quality and preventing future issues. - Design, develop, and maintain testing environments and configurations for various software applications. - Monitor production system performance to promptly identify and troubleshoot operational problems. - Prepare and present detailed reports on testing activities, outcomes, and quality assessments to stakeholders. **Qualifications And Skills:** - Proficiency in statistical analysis for assessing and ensuring software quality and effectiveness. - Familiarity with machine learning to enhance testing processes and predict potential quality issues. - Strong skills in Python programming for creating automated tests and data analysis scripts. - Experience in data visualization to convey testing results clearly and actionable. - Competency in predictive modeling to foresee and mitigate potential software faults proactively. - Understanding of big data principles for efficient management and analysis of large-scale testing data. - Knowledge of SQL for effective interaction with databases and data retrieval for testing purposes. - Ability to perform data mining to extract relevant insights from software test datasets.,