Hiring: Senior Databricks Engineer (PySpark Data Lake) Location: NJ / Plano TX (5 Days Onsite Any JPMC Office Location) Employment Type: W2 Duration: Long-Term Contract Openings: 5 Positions
We are actively hiring experienced Senior Databricks Engineers to support a large-scale data modernization initiative. This role focuses on migrating legacy ETL workflows from Ab Initio to cloud-native Databricks pipelines using Apache Spark (PySpark).
Key Responsibilities:
Analyze and migrate legacy ETL workflows from Ab Initio to PySpark Design develop and optimize scalable data pipelines on Databricks Build and maintain ETL/ELT pipelines integrating data from Snowflake and other enterprise sources Support batch and near real-time data processing Create data lineage data flow diagrams and optimize data processes Develop unit integration and reconciliation testing frameworks Support deployment migration strategy and production cutovers Work with scheduling tools like Control-M Collaborate with architects analysts and business stakeholders for UAT/FAT sign-offs
Required Skills:
8 years of Data Engineering experience Strong hands-on experience with PySpark and Databricks Experience with Ab Initio to PySpark migration Expertise in ETL/ELT pipeline development Strong knowledge of Data Lakes Data Warehousing and Snowflake Experience in Data Lineage Data Governance and Data Quality Strong coding skills in Python Experience with batch and real-time processing frameworks
Preferred:
Experience in Banking/Financial Services domain Experience with cloud platforms like Amazon Web Services / Microsoft Azure Strong troubleshooting and production support experience
Hiring: Senior Databricks Engineer (PySpark Data Lake) Location: NJ / Plano TX (5 Days Onsite Any JPMC Office Location) Employment Type: W2 Duration: Long-Term Contract Openings: 5 Positions We are actively hiring experienced Senior Databricks Engineers to support a large-scale data modernizati...
Hiring: Senior Databricks Engineer (PySpark Data Lake) Location: NJ / Plano TX (5 Days Onsite Any JPMC Office Location) Employment Type: W2 Duration: Long-Term Contract Openings: 5 Positions
We are actively hiring experienced Senior Databricks Engineers to support a large-scale data modernization initiative. This role focuses on migrating legacy ETL workflows from Ab Initio to cloud-native Databricks pipelines using Apache Spark (PySpark).
Key Responsibilities:
Analyze and migrate legacy ETL workflows from Ab Initio to PySpark Design develop and optimize scalable data pipelines on Databricks Build and maintain ETL/ELT pipelines integrating data from Snowflake and other enterprise sources Support batch and near real-time data processing Create data lineage data flow diagrams and optimize data processes Develop unit integration and reconciliation testing frameworks Support deployment migration strategy and production cutovers Work with scheduling tools like Control-M Collaborate with architects analysts and business stakeholders for UAT/FAT sign-offs
Required Skills:
8 years of Data Engineering experience Strong hands-on experience with PySpark and Databricks Experience with Ab Initio to PySpark migration Expertise in ETL/ELT pipeline development Strong knowledge of Data Lakes Data Warehousing and Snowflake Experience in Data Lineage Data Governance and Data Quality Strong coding skills in Python Experience with batch and real-time processing frameworks
Preferred:
Experience in Banking/Financial Services domain Experience with cloud platforms like Amazon Web Services / Microsoft Azure Strong troubleshooting and production support experience