About this role
DATAECONOMY is one of the fastest-growing Data & Analytics company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings.
We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend.
Senior/Lead Data Engineer — Databricks
Rutherford, NJ/ Jersey City, NJ
Full-time
- Build scalable, production-grade ETL/ELT pipelines using Databricks (PySpark, Spark SQL, Delta Live Tables, Workflows).
- Ingest structured, semi-structured, and streaming data into Bronze, Silver, and Gold layers.
- Develop optimized transformations, data quality rules, and reusable framework components.
- Implement best practices for job orchestration, monitoring, alerting, and automation.
- Hands-on experience: Spark, Delta Lake, Workflows, Unity Catalog.
- Strong SQL programming and performance tuning skills.
- Experience with cloud environments (AWS/Azure/GCP).
- Experience with modern data lakehouse concepts and distributed systems.
- Strong understanding of Lakeflow Connect, LSDP/Lakehouse, Medallion Architecture, Data Validations, Genie, and Agent Bricks/RAG use cases.
- Should be able to explain these concepts using real project examples and architecture decisions.
- Knowledge of medallion architecture, DLT and unity catalog within Databricks.
Requirements
- Strong Python (PySpark) and SQL programming
- Databricks — Spark, Delta Lake, Workflows, Unity Catalog
- ETL/ELT pipeline development — Medallion Architecture (Bronze/Silver/Gold)
- Delta Live Tables, Auto-Loader, Structured Streaming
- Data modeling — dimensional (star/snowflake), normalization/denormalization
- CI/CD, Git, job orchestration
- Cloud experience — AWS, Azure, or GCP
- 7–10+ years in data engineering
- Knowledge of medallion architecture, DLT and unity catalog within Databricks.
Nice-to-Have Skills
- Lakeflow Connect, LSDP/Lakehouse, Genie, Agent Bricks/RAG use cases
- Data governance, metadata management, Unity Catalog advanced features
- Airflow, dbt, or similar orchestration tools
- Data security, compliance, and access models
- Cost optimization and performance tuning in cloud environments
- Corporate/enterprise data warehousing background
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