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Lead Data Engineer
Primary Skills
- ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures
Specialization
- Databricks Engineering: Data Engineer
Job requirements
- Design, develop, and maintain scalable ETL/ELT data pipelines using Databricks and PySpark
- Build and optimize data lakehouse architectures (Bronze–Silver–Gold layers)
- Develop data ingestion frameworks from multiple sources (batch & real-time)
- Implement Delta Lake features including schema evolution, ACID transactions, and optimization
- Create and manage Databricks notebooks, workflows, and jobs for production pipelines
- Ensure data quality, governance, and lineage across pipelines
- Optimize Spark jobs for performance (partitioning, caching, tuning)
- Collaborate with cross-functional teams (Data Scientists, Analysts, Architects)
- Support production deployments, monitoring, and troubleshooting of data pipelines
- Contribute to migration of legacy data platforms to modern cloud-based architecture
- Strong experience in:
- Databricks (Workflows, Notebooks, Jobs)
- PySpark / Spark SQL
- SQL & Data Warehousing concepts
- Hands-on experience with:
- Delta Lake / Lakehouse architecture
- Data pipeline development & orchestration
- Good understanding of:
- Data modeling, ETL/ELT processes, SCD concepts
- Experience in at least one:
- AWS (S3, Glue, EMR) / Azure (ADF, ADLS, Synapse)
- Workflow tools:
- Airflow / Databricks Workflows
- Version control:
- Git / CI-CD pipelines
- Experience with:
- Streaming frameworks (Kafka / Spark Streaming)
- DBT / Snowflake / Redshift / Fabric
- Exposure to:
- Unity Catalog, Autoloader, Delta Live Tables
- 5–10 years of experience in Data Engineering
- Minimum 2–4 years of hands-on Databricks experience
- Proven experience building enterprise-scale data platforms and pipelines
- Strong problem-solving and analytical skills
- Ability to work in a fast-paced, agile environment
- Good communication and stakeholder management
- Work on cutting-edge data & AI programs
- Opportunity to build large-scale data platforms
- Collaborative and innovation-driven culture
Job Description – Data Engineer (Databricks)
Company: Brillio Technologies
Role: Data Engineer – Databricks
Experience: 5–10 Years
Location: India (Hybrid/3 days)
Employment Type: Full-time
About Brillio
Brillio is a leading digital transformation partner delivering innovative solutions across Data, Cloud, AI, and Digital Engineering. We help global enterprises unlock value through cutting-edge technology and data-driven insights.
Role Overview
We are looking for a hands-on Data Engineer with strong Databricks expertise to design, build, and scale modern data platforms. The ideal candidate will have experience in PySpark, Delta Lake, and cloud-native data engineering and will work closely with analytics, product, and business teams to deliver high-performance data pipelines.
Key Responsibilities
Technical Skills (Must-Have)
Cloud & Tools
Good to Have
Experience Required
Soft Skills
Why Join Brillio
Brillio Chennai, Tamil Nadu, IND Office
Chennai, India
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
