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The Senior Data Engineer will be responsible for designing developing and maintaining largescale data ingestion and processing pipelines The role focuses on Oracle to Big Data ingestion Sparkbased transformations and production support for critical data pipelines
Roles Responsibilities
Data Engineering Development
Design and build endtoend data pipelines from OracleRDBMS to Big Data platforms
Develop scalable transformations using Apache Spark PySpark Scala Spark SQL
Implement staging curated and consumption layers
Create and manage Hive external tables ORC Iceberg
Handle snapshot incremental and CDCbased ingestion
Scheduling Operations
Develop and maintain Autosys jobs JILs box jobs dependencies
Monitor batch pipelines and ensure SLA adherence
Provide production support issue analysis and RCA
DevOps Collaboration
Use Git Bitbucket for version control and PR reviews
Support CICD deployments RLM Jenkins Lightspeed
Prepare technical documentation runbooks and KT documents
Mentor junior engineers
Required Skills
Apache Spark PySpark Scala Spark SQL
Strong SQL Oracle SQL
Iceberg
Unix Shell scripting
Autosys scheduling
Git Bitbucket
Production support experience
Good to Have
Iceberg Starburst Trino
CDP Public Cloud
Databricks
Data quality frameworks
Mandatory Certification Cloudera CCA Spark and Hadoop Developer CCA175
Job ID: 149376033
Skills:
Apache Spark, Sql, Data Warehousing, Databricks, Python, Etl, Big Data Processing, Apache PySpark, Data Engineering Best Practices, Enterprise Data Engineering Workflows, Analytics Reporting, Azure Services, Data Security Practices
Skills:
BigQuery, Machine Learning, Git, Google Cloud Platform, Docker, Pyspark, Flask, FastAPI, Python, Sql
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