Apexon
Data Engineer - Big Data & PySpark
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Remote
Published on:
18 September 2026
What they need
Job Summary
We are looking for an experienced Software / Data Engineer to join our technology team. In this role, you will be responsible for designing, building, and maintaining high-throughput data processing pipelines that handle billions of records. You will evaluate incoming data, perform specialized hygiene and standardization, and build robust software integrations supporting client data onboarding and identity matching services.
Key Responsibilities
- Data Pipeline & Architecture: Design, implement, and maintain scalable Big Data ETL pipelines using Apache Spark, Hadoop, and cloud infrastructure (AWS).
- Software Integration: Develop software components that integrate with keying processes, client datasets, and identity graph systems.
- Database & Query Optimization: Write complex SQL queries, perform query tuning, optimize data schemas, and ensure high performance in a high-volume processing environment.
- Data Quality & Hygiene: Implement fuzzy logic matching, perform data research, and conduct trend analysis to ensure data integrity, standardization, and quality.
- System Scalability & Capacity: Participate in capacity monitoring, performance tuning, and cross-functional design to ensure systems scale effectively.
- Compliance & Security: Adhere to security standards and regulatory requirements (including ePHI/data privacy guidelines) and contribute to technical documentation.
Technical Competencies:
- Big Data Technologies: 4+ years of hands-on experience with Apache Spark, Hadoop, and distributed computing environments.
- Programming Proficiency: Strong coding skills in Python, Scala, Java, or Shell scripting.
- Database & SQL: Advanced proficiency in SQL, data modeling, database design, and query optimization.
- Cloud Infrastructure: Solid hands-on experience with AWS services and cloud-based data processing architectures.
- Data Matching / Logic: Familiarity or prior experience with fuzzy logic algorithms, data deduplication, or identity resolution tools is a strong plus.
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