3,264 director data engineering jobs in India.

Data Scientist – Snowflake + Agentic AI / Cortex AI

Purpose :This function supports the protection of patient privacy when clinical trial data is shared https://jobeax.com/link/l1hgfOb58lWIGmQb use cases :- Regulatory submissions.- Data sharing with researchers.- Health authority requests.- External collaborations.- Clinical trial transparency https://jobeax.com/link/2TEP4zJ4nBtcNfEZ ...

Role Overview:As a Data Scientist, you will be instrumental in transforming complex immigration data into actionable insights and predictive models that enhance our services and operational efficiency. You will collaborate closely with product managers, engineering teams, and business operations to identify opportunities ...

... Work as an Individual Contributor on new and existing projects with a positive, problem-solving https://jobeax.com/link/rCyzW0NBvdP0uFXm Candidate :- Strong Data Scientist / AI Engineer / Generative AI Engineer profile.- 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, ...

... Glue, Lambda, Step Functions, and Apache Spark . Develop and optimize data lake and data warehouse architectures using AWS S3, Redshift, and Athena . Implement data ingestion, transformation, and storage solutions using AWS Glue, Kinesis, and Kafka . Work with structured and unstructured data to develop efficient data pipelines ...

... Functions, Redshift, Athena, SNS, SQS, EventBridge, Event Bus, SageMaker, IAM, Secrets Manager, Bedrock, CloudWatch, and Lake Formation for building scalable data engineering solutions, event-driven architectures, ML workflows, and governance of data lakes. - Understanding of configuration, deployment, and database servers. ...

... the development of system enhancements. - Work closely with Data Engineering, Product, Accounting, and Tax team members to investigate root causes, validate data fixes, improve reporting logic, and strengthen tax data controls. - Support indirect tax filing preparation by organizing filing data, validating reports, reviewing ...

... cross-functional teams to transform complex data into meaningful reports and recommendations. The Data Analyst will be responsible for collecting, cleaning, and analyzing data from multiple sources to identify trends and opportunities. Responsibilities Collect, clean, and analyze data from multiple sources to identify trends and opportunities. ...

... journey of model building Advocating application of best practices in data engineering, code hygiene, and code reviews Leading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projects Working with partners and principals to shape proposals that showcase our data engineering ...

... Data Enablement Engineer to design, build, and operate the trusted datasets, semantic models, and embedded AI experiences that make this possible. This is a data platform engineering role , not a data science or model-building role. You will spend your time engineering the data foundation that makes AI reliable — semantic ...

... requirements. Identify and correct data inconsistencies and anomalies. Use data labelling tools such as Labelbox, Supervisely, Scale AI, or similar platforms. Data Quality Assurance: Conduct quality checks on labelled data to ensure adherence to project standards. Work closely with data scientists, engineers, and product ...

... product, and engineering stakeholders in matrixed environments. Biopharma / healthcare domain exposure — commercial analytics, clinical development, real-world data, patient journeys, evidence generation, or regulated workflows. Fine-tuning / adaptation experience (PEFT, LoRA, QLoRA). Expertise in big data technologies (e.g., ...

... maintain scalable data transformation pipelines using Python (with tools like PySpark, ADF...) and SQL in Azure Databricks.- Implement transformation logic to move data from Bronze to Silver/Gold layers following data engineering best practices.- Apply strong data engineering principles to ensure data reliability, quality, performance, ...

... transformation.- Define technology roadmaps, reference architectures, architecture principles, and standards for Data & AI platforms.- Drive modernization of existing data and analytics ecosystems to support AI-driven business capabilities.- Collaborate with engineering, data science, cloud, cybersecurity, and product teams to translate ...

... 8+ years of work experience. - Proficiency in writing complex SQL queries on MPP systems (Snowflake/Redshift). - Experience in Databricks and Delta tables. - Data engineering experience with Spark/Scala/Python. - Experience in Microsoft Azure stack (Azure Storage Accounts, Data Factory, and Databricks). - Experience in ...

Data Science Lead

... networks to enable machines to learn from data and make decisions. Employees who excel in this skill have specialized abilities in mathematics, programming, and data analysis, making them highly coveted in the tech industry. Data Engineering - Ability to design, build, and maintain infrastructure for data collection, transformation, ...

... transformation.- Define technology roadmaps, reference architectures, architecture principles, and standards for Data & AI platforms.- Drive modernization of existing data and analytics ecosystems to support AI-driven business capabilities.- Collaborate with engineering, data science, cloud, cybersecurity, and product teams to translate ...

... consulting environment. - Proven analytic experiences and problem-solving skills (Master’s degree with a major in a related field of quantitative science e.g., engineering, computer/data science, statistics, mathematics, etc.) - Senior Analyst: Master’s degree plus 1-2 years of relevant work experience or PhD’s degree - Demonstrated ...

... architectures, roadmaps, and implementation plans. Develop logical data models and schemas for various business domains and industries. Demonstrate expertise in data modeling, database design, cloud architecture, and data infrastructure management. 5+ years of experience in data engineering, cloud architecture, or data infrastructure. ...