Senior Data Engineer

NAM Info Inc

Bengaluru

On-site

INR 1,000,000 - 2,000,000

Full time

14 days+

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Job summary

A leading IT services company in Bengaluru is seeking a mid-senior level Data Engineer. The ideal candidate must have over 4 years of experience in data engineering, expert knowledge of Apache Spark, and extensive experience with AWS data platforms. This full-time role focuses on building innovative data solutions using cloud-based technologies and is key to driving data-driven insights. Join a dynamic team transforming enterprises with advanced data intelligence.

Qualifications

4+ years of hands-on experience in data engineering.
Expert-level experience with Apache Spark is mandatory.
Strong experience with Snowflake, including design and performance tuning.

Skills

Apache Spark (PySpark or Scala)

SQL and Spark SQL

Data platforms on AWS (S3, EMR, Glue, Kinesis, Redshift, Step Functions, IAM)

ETL/ELT patterns and tools (dbt, Glue, Informatica, Talend)

Streaming frameworks (Kafka, Kinesis, Flink)

Python or Scala programming

CI/CD and Git

Education

Bachelor’s or master’s degree in computer science, Data Engineering, or related field

Job description

Direct message the job poster from NAM Info Inc

NAM Info is a leading IT application and product engineering services organization headquartered in Cranbury, New Jersey, with development centers in Bangalore, India. Our service offerings span Professional Services, Managed Services, and modernization and re‑engineering initiatives, with a strong focus on cloud, data, and emerging technologies.

NAM is also the creator of a next‑generation Data Intelligence Platform that enables enterprises to automate and accelerate their journey from data to insights. The platform unifies data engineering, governance, analytics, and large‑scale processing, delivering end‑to‑end data intelligence at enterprise scale.

Required Skills & Qualifications

Bachelor’s or master’s degree in computer science, Data Engineering, or related field
4+ years of hands‑on experience in data engineering
Expert‑level experience with Apache Spark (PySpark or Scala) — mandatory
Proven hands‑on expertise in Spark performance tuning and optimization
Deep knowledge of SQL and Spark SQL, query optimization, and execution plans
Strong experience with Snowflake, including schema design, performance tuning, and cost optimization
Extensive experience building data platforms on AWS (S3, EMR, Glue, Kinesis, Redshift, Step Functions, IAM)
Strong understanding of ETL/ELT patterns and tools such as dbt, Glue, Informatica, or Talend
Experience with streaming frameworks (Kafka, Kinesis, Flink)
Strong programming skills in Python or Scala
Experience with CI/CD, Git, and automation for data pipelines
Solid understanding of data governance, quality frameworks, and security best practices