Sr Data Specialist - R01564133
Brillio
🇮🇳 India
Hybrid
Senior
5 months ago
- Athena
- Step Functions
- PySpark
- ETL
- SQL
- Python
- EBS
- AWS
- EC2
- Aurora
- PL/SQL
- Databricks
- ELT
- EMR
- Hadoop
- Airflow
- Apache Spark
- PostgreSQL
- Hive
- Scala
- Unix
- Elasticsearch
- Git
- SVN
- HTML
5 months ago
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
- Design and buildscalable data pipelines using Spark / PySpark on Databricks
- Develop and optimizeETL/ELT workflows for large-scale data processing
- Work withAWS EMR, S3, and Hadoop ecosystem for distributed data processing
- Build and maintaindata lake and data warehouse solutions
- Develop and integrateAPIs for data ingestion and consumption
- Implement data processing workflows usingAirflow / Autosys
- Optimize data performance usingpartitioning, caching, and query tuning
- Handle structured and semi-structured data from multiple sources
- Ensuredata 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 ofHTML (for web/data tasks)
- Minimum5+ years of Data Engineering experience
- Strong hands-on experience inDatabricks + Big Data stack
- Proven experience working onlarge-scale distributed systems
- Bachelor’s or Master’s degree inComputer Science, Engineering, or related field
- Work oncloud-native, large-scale data platforms
- Exposure tocutting-edge Databricks & AWS ecosystems
- Collaborative and high-performance engineering culture
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Why Join Brillio
 Education
Experience Required
Additional Skills
Technical Skills (Must-Have)
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 aSenior 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 withSpark, PySpark, AWS ecosystem, and modern data architectures, along with exposure to APIs and real-time data processing.
 Key Responsibilities
Sr Data Specialist - R01564133 · Brillio