Data Analytics Engineer SQL in Pune, India is listed on Jobeax. Browse 30,000+ vacancies available.
Roles and Responsibilities Architect and maintain enterprise-grade ELT and ETL data pipelines using Python, PySpark, Kafka, and Databricks to manage large-scale risk data. Build and deploy GenAI agents utilizing Google ADK, Google Flash 2.5+ LLMs, and Model Context Protocol (MCP) integrated with Human-in-the-Loop workflows. Design, automate, and deploy microservice integrations for data-intensive applications on OpenShift and Kubernetes using robust CI/CD pipelines. Implement data federation layers supporting Lambda and Data Mesh architectures via Starburst to enable AI/ML and NLP use cases. Leverage agentic AI platforms and development assistants such as https://jobeax.com/link/FLl2iJ9Ts45AZ1a3 and GitHub Copilot with prompt engineering to increase engineering velocity. Enforce data governance, risk management policies, and regulatory compliance standards across all data platforms.
Preferred Candidate Profile Work Experience: 8+ years in large-scale application development with 5+ years in a Python and PySpark Data Engineering lead role. Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree preferred). Core Technical Skills: Python, PySpark, Databricks, Google ADK, LLMs, FastAPI, Spring Boot, Microservices, Kafka, SQL, Data Mesh, Starburst. Infrastructure and Cloud: Kubernetes, OpenShift, Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering experience in Banking Risk, Retail Products, Cards, Mortgage, Deposits, or Wealth Management. Assumed Requirements / Certifications: Databricks Certified Data Engineer, AWS Certified Data Analytics, or Azure Data Engineer Associate.
... Understand data landscape Perform ad-hoc analysis and present results in a clear manner Work on the full lifecycle of machine learning development including sourcing, dataset curation, feature engineering, model training, model tuning, and offline & online experimentation Strong programming skills with minimum 3-6 years of experience ...
... Storytelling- translate technical findings into clear, actionable recommendations for non-technical stakeholders, including senior leadership. 3-4 years of experience in data science, analytics, or a related quantitative role, ideally handling large, real-world datasets. - Strong hands-on skills in Python and SQL, with solid fundamentals ...
... of experience in data analytics or a related field Strong hands-on experience with: SQL Python Power BI and/or Tableau Solid understanding of data modeling, data cleaning, and transformation techniques Experience working with structured and unstructured datasets Familiarity with statistical analysis and data visualization ...
... our team, choose your own path and work on projects that excite you. The Data and Analytics team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving ...
... enforcement problem or a pricing problem, and defend the call with the data. Who You Are: - 2 to 5 years in data science or applied ML with a focus on product analytics, growth, or user behaviour - Strong SQL and real comfort working with large, event-level behavioural data at scale - Solid classical ML foundations — clustering ...
... through data-backed https://jobeax.com/link/1GRkeqsx7iRFVaFD Responsibilities : - Architect and maintain complex SQL queries to extract, clean, and transform large datasets, ensuring stakeholders have access to reliable and timely information.- Design and deploy interactive analytics dashboards that visualize key performance ...
DATA SCIENTIST - TIME SERIES FORECASTINGAre you a Data Scientist who loves turning historical data into accurate predictions and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that ...
... pipelines for our analytics needs. Conduct in-depth product analysis to identify trends, patterns, and opportunities for product improvement and growth. Write complex SQL queries and use Python to perform advanced data analysis Collaborate with product managers, engineers, and other stakeholders to understand their data needs and ...
Education Role description ~ Bachelor's degree in Computer Science, Computer Engineering, Data Analytics, Business Analytics, or a relevant field. Required Experience 3+ years of experience in a Data Analyst, Business Analyst, BI Analyst, or similar role. Professional experience working with life science domain Demonstrated ...
... expressions. Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders. Collaborate closely with Data Engineering teams by providing clear and detailed requirements. Ensure data accuracy, consistency, and adherence to best practices in reporting and analytics delivery. ...
... Scikit-learn, with experience using libraries such as XGBoost, LightGBM, CatBoost, and Statsmodels. Experience working with large datasets and data pipelines, including data preprocessing, data quality checks, transformation, aggregation, and feature generation using tools such as SQL, Spark/PySpark, and cloud data platforms. Strong ...
... to 10 years of experience in Data Analysis / Data Analytics.- Strong proficiency in SQL, Excel (Pivot Tables, Advanced Functions), and Python.- Experience in data modeling, reporting, and dashboarding.- Strong analytical and problem-solving skills.- Ability to work with large and complex datasets.- Excellent communication ...
... other get better. Headout helps people experience the best of every city they visit. What skills & experience do you need - 1 - 3 years in an analytics, BI, or data science role - Strong SQL skills, you can write complex joins, window functions, CTEs without hand-holding. Working knowledge of Python for data manipulation, ...
... dashboard functionality. Ensure data accuracy, consistency, and reliability through proper validation and testing. Work with Data Engineers to integrate multiple data sources (SQL Server, Excel, APIs, cloud sources) into Power BI. Collaborate with cross-functional teams to support reporting and analytics needs across departments. ...
... the product and engineering teams to solve the bugs and https://jobeax.com/link/7NJ8ZNIfjPTQ4sPG : Must Have : - More than 5 years of experience in product analytics, business intelligence, or a related data role, ideally within a product-led or Healthcare SaaS company.- Expert-level SQL skills; experience querying large, ...
... in Data Analytics, Product Analytics, Business Intelligence, or Growth Analytics. - Strong analytical and problem-solving skills. - Experience with Google Analytics 4, Looker Studio, Power BI, Tableau, Mixpanel, Amplitude, or similar analytics tools. - Good understanding of SQL. - Comfortable working with large datasets. ...
... understand data requirements and deliver solutions. Identifying opportunities for process improvements based on data analysis. Assisting in the development of data models and algorithms to enhance business decision-making. Skills and Qualifications Proficiency in data analysis tools such as Python, R, or SQL. Experience ...
... with Python libraries and frameworks like numpy, pandas, pyspark, matplotlib, Flask, FastAPI, TensorFlow, PyTorch, scikit-learn. - Strong skills in software engineering, data processing, analytics and data visualization libraries - Proficiency in data structures, algorithms, building and maintaining data pipelines. - Experience ...
... Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. - 8-15 years of experience in data analysis or a similar role. - Proficiency in Databricks and Spark for big data processing. - Strong SQL skills for data querying and manipulation. - Experience with data visualization tools like Tableau or Power ...