Senior Data Engineer - R01564133
The senior data engineer will design and implement AWS-based data pipelines using services such as Athena, Glue, Lambda, and Spark (PySpark). Responsibilities include building scalable data models, managing data warehousing on S3 and Aurora, and ensuring robust ETL processes.
Skills required
About this role
Lead Data Engineer
Primary Skills
Specialization
Job requirements
Job Description – AWS Senior Data Engineer
Company: Brillio Technologies
Role: Senior Data Engineer
Experience: 5–10 Years
Location: India (Hybrid/Remote)
Employment Type: Full-time
Role Overview
We are looking for a Senior Data Engineer with strong Databricks and Big Data expertise to design, build, and optimize scalable data pipelines and platforms. The ideal candidate will have hands-on experience with Spark, PySpark, AWS ecosystem, and modern data architectures, along with exposure to APIs and real-time data processing.
Key Responsibilities
- Design and build scalable data pipelines using Spark / PySpark on Databricks
- Develop and optimize ETL/ELT workflows for large-scale data processing
- Work with AWS EMR, S3, and Hadoop ecosystem for distributed data processing
- Build and maintain data lake and data warehouse solutions
- Develop and integrate APIs for data ingestion and consumption
- Implement data processing workflows using Airflow / Autosys
- Optimize data performance using partitioning, caching, and query tuning
- Handle structured and semi-structured data from multiple sources
- Ensure data quality, governance, and reliability of pipelines
- Collaborate with cross-functional teams (Analytics, Product, Engineering)
- Strong expertise in:
- Apache Spark / PySpark
- Databricks (mandatory)
- SQL (PostgreSQL or similar)
- Hands-on experience with:
- AWS EMR, S3
- Hadoop, Hive ecosystem
- Programming skills:
- Python (must-have)
- Scala (good exposure)
- Strong knowledge of:
- UNIX / Shell scripting
- ETL pipelines and data engineering fundamentals
- Experience with:
- Elasticsearch (data storage & retrieval)
- Workflow orchestration tools (Airflow, Autosys)
- Exposure to:
- API development & integration
- Version control tools (Git / SVN)
- Basic knowledge of HTML (for web/data tasks)
- Minimum 5+ years of Data Engineering experience
- Strong hands-on experience in Databricks + Big Data stack
- Proven experience working on large-scale distributed systems
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- Work on cloud-native, large-scale data platforms
- Exposure to cutting-edge Databricks & AWS ecosystems
- Collaborative and high-performance engineering culture
Technical Skills (Must-Have)
Additional Skills
Experience Required
Education
Why Join Brillio
