Sr Data Specialist R

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: 510 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

• Bachelors or Masters 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.

Required Experience:

Senior IC

Experience: years
Vacancy: 1