Urgent role Databrick Engineer in Maclean VA (100% Onsite)
Rahul Pandey
Hello,
This is Rahul from Quantum world Technologies; I am working as Senior Technical Recruiter in this company. I have an Onsite Job Opportunity with one of our clients. Please share your resume if you are interested in the job details given below
Role- Databrick Engineer
Location- Maclean VA (100% Onsite)
Detailed JD:
Data Platform, Cloud Migration, ETL/ELT
Secondary : AI/ML, Python
Role Summary
Lead Data Engineer responsible for designing, migrating, and optimizing enterprise-scale data platforms on Microsoft Azure, with strong hands-on ownership of ETL/ELT pipelines, cloud data warehousing, and data integration across heterogeneous sources.
Key Responsibilities
- Lead data migration initiatives to Azure, including on prem to cloud and legacy ETL modernization.
- Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks (PySpark), and Informatica (PowerCenter / IICS).
- Implement end to end data ingestion, transformation, and loading into Azure Data Lake Gen2, Azure SQL, Azure Synapse, and Snowflake.
- Migrate and refactor existing ETL workflows (Informatica / SSIS) to cloud native Azure architectures.
- Optimize data pipelines for performance, reliability, and cost efficiency.
- Ensure data quality, governance, security, and compliance during migration and ongoing operations.
- Collaborate with architects, business stakeholders, and downstream analytics teams.
Required Skills
Azure Migration: Hands on experience with Azure Data Lake (Gen1/Gen2), Azure Data Factory, Azure Databricks, Azure Synapse, Azure SQL
ETL/ELT: Strong expertise in Informatica PowerCenter, Informatica IICS, ETL design, CDC, SCDs, and batch/stream processing
Programming: Python, PySpark, SQL, PL/SQL
Databases & Warehousing: Oracle, SQL Server,
Cloud DevOps: Azure DevOps CI/CD pipelines, Git-based version control
Data Modeling: Star schemas, dimensional modeling
Nice to Have
- AI/ML experience
- Power BI / semantic modelling exposure
Thanks & Regards
Rahul Pandey