12 Nov
|
EduRun Group
|
India
12 Nov
EduRun Group
India
Job Description
– Data Engineering Lead / Scrum Master Payroll: EduRun
Job Type
Contract (6 Months – Extendable)
Location:
India (Remote) Work Mode: 100% Remote
Experience:
10+ Years Job Summary We are looking for an experienced Data Engineering Lead & Scrum Master with strong expertise in SQL, Teradata, JCL, Snowflake, and Microsoft Fabric. The candidate will be responsible for leading data engineering initiatives, managing enterprise data pipelines, optimizing database performance, and driving Agile delivery.
Key Responsibilities
• Lead the design, development, and maintenance of scalable data pipelines.
• Perform advanced SQL development, query optimization, and performance tuning.
• Manage Teradata databases, including BTEQ, TPT, FastLoad, and MultiLoad utilities.
• Develop, maintain, and troubleshoot JCL scripts and mainframe batch processes.
• Support data migration and integration with Snowflake and Microsoft Fabric.
• Ensure data quality, performance, coding standards, and CI/CD practices.
• Conduct code reviews and mentor data engineering teams.
• Act as Scrum Master and facilitate sprint planning, daily stand-ups, reviews, and retrospectives.
• Manage sprint delivery, team capacity, backlogs, and stakeholder coordination.
• Track Agile metrics and resolve delivery blockers. Mandatory Skills
• 10+ years of experience in Data Engineering / Data Warehousing.
• Solid expertise in Advanced SQL and performance tuning.
• Hands-on experience with Teradata.
• Strong knowledge of JCL and Mainframe batch processing.
• Minimum 2 years of experience as Scrum Master / Agile Delivery Lead.
• Knowledge of Agile, Scrum, Kanban, and Jira / Azure DevOps.
• Experience with data warehousing concepts, dimensional modelling, and SCD Types 1/2/4.
• Knowledge of Git and CI/CD pipelines. Good to Have
• Hands-on experience with Snowflake.
• Knowledge of Microsoft Fabric, OneLake, Lakehouse, and Delta Lake.
• Retail domain experience.
📌 Data Engineering Lead (India)
🏢 EduRun Group
📍 India