2,912 data center jobs in India.

... solutions for our clients. Instead, you'll be out in the open water, shaping the future with brilliant minds. We are looking for a Lead Data Scientist who can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, ...

... lifecycle. Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features ...

... 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 ...

... (Extract, Transform, Load) scripts to move data across various systems. Database Management: Write basic SQL queries, create tables, and interact with PostgreSQL databases to support data storage and retrieval. Data Orchestration: Help schedule, monitor, and troubleshoot automated data workflows using Apache Airflow. Stream ...

... strong hands-on experience with AWS data services and distributed data processing, along with a solid understanding of data modelling, streaming architectures, data quality, and pipeline optimisation. Requirements KEY RESPONSIBILITIES Design, develop, and maintain end-to-end data pipelines for high-volume data ingestion, ...

... data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform. Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines. Develop data processing workflows using Databricks, Delta Lake, and Spark technologies. Maintain and improve the Data Lakehouse, utilizing Unity Catalog ...

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... non-technical stakeholders why data is or is not ready, and that conversation matters as much as the pipeline. Useful, Not Essential - Manufacturing or industrial data experience - Kafka, Debezium or other change-data-capture tooling - Metadata catalogue and governance tooling - Experience defining acceptance criteria on a client ...

... management plans and documentation, ensuring compliance with industry standards and regulatory requirements. - Participate in the identification and resolution of data discrepancies and issues, working to streamline data flow and enhance data quality throughout the study lifecycle. - Collaborate closely with cross-functional ...

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 ...

... opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data ...

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 ...

... 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 ...

Job Description – Senior Data Engineer / Platform Re-Engineering Lead (Azure Synapse & Databricks Migration) Role Overview We are looking for a highly experienced Senior Data Engineer to lead the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires deep technical seniority ...

Data Science Data Engineer Work Type: Full Time At VIDA we're building the future of digital identity. As a Data Engineer you'll work across the stack—from platform and infrastructure to data pipelines and end-user tooling. You'll help us modernize our batch ETLs and lead our push into streaming and real-time fraud detection. ...

... 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 ...

... techniques. Hands-on experience integrating and optimizing Starburst/Trino, including connecting Starburst from Lambda and Glue ETL jobs. Experience with NoSQL databases such as DynamoDB, MongoDB. Experience working with data formats including Avro, Parquet, JSON, XML, and CSV. Comfortable challenging your peers and leadership ...

... details related to data engineering or a relevant https://jobeax.com/link/cwwOL3BLJkve6nkU Skills :- Azure Databricks, Python, pyspark, sql, ADF- Proficiency in data pipeline design and implementation- Strong understanding of data factory and orchestration toolsPreferred Skills:- Familiarity with advanced data processing techniques- ...

... & Data Engineering (AWS) Strong handson experience with AWS data services, including: Amazon S3, AWS Glue, Athena, Redshift Experience designing cloudnative data lakes and data warehouse architectures on AWS Deep understanding of batch and streaming data pipelines Experience building scalable, faulttolerant data ingestion ...

... work independently and collaboratively to solve complex data challenges and drive continuous improvements across our data engineering practices. 4+ years of data engineering experience, building and managing large-scale data pipelines - Strong proficiency in Python, PySpark, Spark, Databricks, Delta Lake, PowerBI and SQL, ...