Lead Data Engineer
Primary Skills
- Athena, Step Functions, Spark - Pyspark, ETL Fundamentals, SQL (Basic + Advanced), Glue, Python, Lambda, Data Warehousing, EBS /EFS, AWS EC2, Lake Formation, Aurora, S3, Modern Data Platform Fundamentals, PLSQL, Data Modelling Fundamentals, Cloud front
Specialization
- AWS Data EngineerIng Basic: Senior Data Engineer
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)
Technical Skills (Must-Have)
- 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
Additional Skills
- 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)
Experience Required
- Minimum 5+ years of Data Engineering experience
- Strong hands-on experience in Databricks + Big Data stack
- Proven experience working on large-scale distributed systems
Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Why Join Brillio
- Work on cloud-native, large-scale data platforms
- Exposure to cutting-edge Databricks & AWS ecosystems
- Collaborative and high-performance engineering culture
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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