3,278 director data engineering jobs in India.

... Intelligence, with experience using data or reporting tools Excellent analytical skills to manage data and drive process re-engineering initiatives Strong experience in data analysis and implementing solutions within the Architecture space Must have Hands on experience in RDBMS in any one of the databases like Teradata/ MS SQL Server/Oracle/ ...

... DataStage, Informatica, Spark or related . ➢ Experience with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related. ➢ Strong familiarity with EDC Systems: Rave, Trial Master, InForm, ...

... improving observability before issues impact the business. Required Qualifications, Knowledge, and Job-Related Skills - Bachelor’s degree in Computer Science, Data Engineering, or a related technical field (or equivalent experience). - Extensive experience in data engineering, data quality, or analytics engineering, typically ...

... Expertise in Azure Data Factory for ETL pipeline development 4. In-depth knowledge of Azure Data Lake Storage Gen2 (ADLS Gen2) 5. Experience with CosmosDB for data modeling and integration 6. Strong skills in Python for data engineering tasks 7. Proficiency in Databricks and Stream Analytics 8. Experience with Event Hub ...

... we rely on are realistic, consistent, and tied to measurable product quality lift. This is a highly cross-functional role. You will work closely with QA, Engineering, Product, and the evals team to convert ambiguous quality issues into structured data, actionable feedback, and repeatable quality signals. You will: - Run ...

This role is for one of our clients Industry: IT Services and IT Consulting Seniority level: Mid-Senior level Min Experience: 7+ years Location: Bengaluru, Karnataka, India, Pune, Gurugram, Haryana, India JobType: full-time

... implementing data solutions on Google Cloud Platform. As a Data Engineer at Randstad, you will play a pivotal role in designing, implementing, and maintaining our data infrastructure on Google Cloud Platform. You will work closely with our business intelligence, engineering, and business teams to ensure that our data is collected, ...

... positive business impact. The Data Associate must have a passion for data, efficiency, and accuracy and will work under the direction of Operations manager and Sr. Data Associates. Specifically, the Data Associate will: - Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment - Deliver ...

... applications.- Collaborate with engineering teams to perform data modeling and schema design, ensuring efficient storage and retrieval in NoSQL and relational databases.- Monitor and troubleshoot production data workflows to identify bottlenecks and improve the overall performance of Big Data clusters.- Automate data infrastructure ...

... Being Successful in This Role Minimum 5 years of experience in software development and system design Minimum 2 years of experience as a Data Engineer focused on data modelling, governance, and platform administration. Expertise in Snowflake or similar MPP databases. Strong SQL skills. Experience with multiple database technologies ...

... depending on experience. Full-time, permanent post Clarksons Research , the data and analytics arm of Clarksons, are market leaders in the provision of independent data, intelligence and analysis around shipping, trade, offshore and maritime energy transition. Millions of data points are processed and analysed each day to provide ...

... journey data. It turns compliant data collection into actionable insight that helps improve customer reach, engagement, conversion and website quality. Protect data quality: Configure and validate tracking so customers and Web teams can rely on their website data. Provide clear operational support to marketing and product ...

... competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview : Zynga's data science and analytics team uses our unique and expansive data to model and predict user behavior, making our games more personalized and more fun to play! We ...

... experience in Enterprise Data Architecture, Data Engineering, Data Governance, Information Management, and Enterprise Integration.- Strong expertise in Enterprise Data Architecture, Data Governance, Master Data Management (MDM), Metadata Management, Data Modeling, Data Quality, Data Lineage, and Data Lifecycle Management.- Hands-on ...

... Design and implement secure authentication and authorization, and API security mechanism. Develop reusable, modular, and maintainable code following software engineering best practices and coding standard. Optimize application performance, scalability, and reliability for high-volume data processing workloads. Implement automated ...

... Business, Finance, Data Analytics, or related field.- 5 - 8 years of experience in data management, data governance, data quality, MDM, platform configuration, or data testing roles.- Financial services industry experience preferred.- Demonstrated hands-on experience configuring data models, data quality rules, or governance ...

... intersection of data, financial services, and stakeholder engagement. You will collaborate with asset managers, data suppliers, and internal teams to drive measurable data growth, improve data coverage, and support strategic onboarding initiatives. If you enjoy solving complex data challenges, building strong relationships, and ...

... scheduling, dependency management, and error handling.- Document pipelines, workflows, and processes for team-wide visibility.- Assist in optimizing SQL queries and database performance where https://jobeax.com/link/157UJ0YGZTFgXNZ4 Skills & Qualifications :- 1 - 2 years of hands-on experience in data engineering or a related ...

... Design and implement secure authentication and authorization, and API security mechanism. Develop reusable, modular, and maintainable code following software engineering best practices and coding standard. Optimize application performance, scalability, and reliability for high-volume data processing workloads. Implement automated ...

... Development: Writing and optimizing complex Data Analysis Expression (DAX) for measures, calculated columns, and intricate KPIs to handle large datasets. • ETL & Data Transformation: Developing sophisticated data transformation logic, for instance using Power Query (M language), and building reusables dataflows and pipelines. ...