300 data power jobs in Pune, India.

... their greatest potential. Lead Data Engineer Who is Mastercard Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, ...

... AI-first data strategy at scale across 120M+ customer interactions. Databricks Apps & Self-Serve AI Develop and deploy internal AI-powered applications using Databricks Apps — enabling business users to interact with ML models, RAG systems, and analytics agents through governed, self-serve interfaces. Integrate Databricks ...

... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...

We are seeking an experienced Lead Data Analyst to work on large-scale Energy & Utilities datasets. The ideal candidate will be responsible for analyzing tariff and pricing data, building data models, automating workflows, and delivering actionable insights to support business decisions.Role: Lead Data AnalystExperience: ...

• Contract

... role, you will be the bridge between business stakeholders and data solutions—translating complex analytical and AI use case requirements into reliable, scalable data products. You will work hands-on with Snowflake, dbt, and Airflow to model, transform, and orchestrate data that powers decision-making across the organization. ...

• Remote
• Hybrid
• On-site

1400 / year

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly ...

• Remote
• Full-time

... relocation Remote Type: This position is fully remote Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and ...

• Remote
• Hybrid
• On-site

340k

... managing bots, machine groups, unattended automation, and gateways Ability to analyze execution logs, audit logs, exceptions, and error reports Understanding of Dataverse, connectors, authentication, and service accounts Provide Level 1/Level 2 support for Power Automate solutions by troubleshooting workflow failures, connectivity ...

About the Role : As one of the founding technical leaders of our AWS Agentic AI & Data Modernization Practice, you will define the architecture, standards, reusable IP, and technical direction that will power a high-growth consulting https://jobeax.com/link/0c14UeRcOwA5jiTP is not a project-specific architecture role. You ...

... batch jobs, database replication & Kafka- Set up and maintain monitoring/observability for data pipelines- Support ML pipelines, Airflow workflows and production data science infrastructureIDEAL PROFILE:Looking for candidates with strong hands-on experience in:- Data Operations- Production Data Engineering- Data Platform Support- ...

... years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments • Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities • Excellent verbal ...

... worldwide. Role Summary: The Data Architect is responsible for the design and evolution of our enterprise data architecture, with a strong focus on reusable data pipelines, data schemas & products, and modern data engineering practices. This role requires an AI-first mindset in data engineering and data modeling activities ...

... testing, and maintaining architectures such as databases and large-scale processing systems, ensuring that architectures support data analytics, and preparing data for prescriptive and predictive modeling. Data engineers also develop data set processes for data modeling, mining, and production, integrate new data management ...

... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...

• Full-time

Senior Data Engineer – Data Pipelines & Cloud Databases Location: Pune | Experience: 4+ years | Type: Full-Time Role Overview Design, build, manage enterprise data pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products. Key Responsibilities ...

... build robust data pipelines, data lakes, and marts to support business analysts and data scientists. Key Responsibilities Modern Data Platform Development: Build data lake components on cloud-based platforms Design and develop data marts for business analysts and data scientists Data Engineering & Pipelines: Design data pipelines ...

• Hybrid

Role Overview : We are seeking a seasoned Data Engineering professional to spearhead our data architecture initiatives and drive the evolution of our analytical ecosystem. In this role, you will be responsible for designing robust data models and optimizing our Snowflake-based data warehousing environment to support complex ...

• Hybrid

... optimized SQL queries for data extraction, transformation, and analysis.- Build and manage ETL pipelines using AWS Glue.- Work with AWS Glue Data Catalog for metadata management and data discovery.- Design and implement serverless data processing solutions using AWS Lambda.- Use Amazon S3 for scalable data storage and data ...

We are seeking a Data Engineer to join our team. The role will involve building and maintaining data pipelines and collaborating closely with stakeholders. Key responsibilities Design and develop scalable data pipelines using AWS services. Implement ETL processes with AWS Glue, Lambda, and DBT. Work with PySpark and SQL ...

... Ensure the reliability, scalability, and efficiency of data pipelines for ingestion, transformation, and storage. Work with cross-functional teams to understand data needs and deliver high-quality solutions. Troubleshoot and resolve data pipeline issues in production environments. Apply data quality and governance best practices, ...