6 - 11 years

14 - 16 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Lead and deliver projects within the APJ Data Engineering Team with a strong focus on Databricks,Unity catalog and Business Intelligence (BI) solutions using Power BI.
  • Architect, design, and implement data governance and security frameworks using Unity Catalog , ensuring end-to-end data lineage, cataloging, and access control across the data ecosystem.
  • Perform source to target data analysis and mappings.
  • Collaborate with admins, developers, data engineers and analysts for successful functionality delivery.
  • Perform requirement analysis and co-ordinate with project managers and development team to drive the delivery cycle.
  • Collaborate with the scrum master on product backlogs and helps with sprint planning.
  • Improve/Support solutions using Pyspark/EMR, SQL and databases, AWS Athena, S3, Redshift, AWS API Gateway, Lambda, Glue and other Data Engineering technologies.
  • Write Sophisticated Queries and edit them as required for implementing ETL/Data solutions.
  • Handle database migration projects from Redshift to Data Lake S3, ensuring flawless transition and minimal disruption to operations.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Keys to Success: Education
  • Bachelor s degree in Computer Science with at least 6 years of Data Engineering experience using AWS services, Pyspark/EMR.
  • Having Certifications like AWS Certified Data Analytics, CCA Spark and Hadoop Developer or CCP Data Engineer is recommended.
Experience
  • 4+ Years of Experience in Databricks, Data Analytics Business Intelligence Solutions and Technical Lead.
  • Full life cycle project implementation experience in AWS using Databricks Pyspark/EMR, Unity Catalog,Athena, S3, Redshift, AWS API Gateway, Lambda, Glue and other handled services
  • Good experience on Power BI.
  • Experience with agile development methodologies by following DevOps, Data Ops and Dev Sec Ops practices.
  • Experience using Jira for task prioritization and Confluence and other tools for documentation.
  • Strong analytical experience with database in writing complex queries, query optimization, debugging, user defined functions, views, indexes etc.

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