Location:
Bangalore (Onsite)
Experience:
4+ Years
Employment Type:
Full time
We are looking for an experienced Data Engineer with strong hands-on expertise in
Python
,
PySpark
, and
AWS Cloud
services. The ideal candidate will play a key role in building scalable, efficient, and reliable data pipelines and supporting data infrastructure for analytics and reporting.
Design, build, and maintain scalable data pipelines using
PySpark
and
Python
Develop and optimize ETL workflows to process structured and semi-structured data
Work with large datasets stored on
AWS S3
, and process them using
Glue
,
EMR
, or
Lambda
Collaborate with Data Scientists, Analysts, and Product teams to define data needs and deliver quality solutions
Ensure data quality, integrity, and consistency across systems
Manage orchestration using
AWS Step Functions
,
Glue Workflows
, or
Airflow




Monitor and optimize performance of pipelines, storage, and compute resources
Participate in data modeling, schema design, and documentation
Required Skills:
4+ years of experience as a Data Engineer or similar role
Strong programming skills in
Python
with experience in writing clean, scalable code
Hands-on experience with
PySpark
and distributed data processing
Proficient in
AWS services
: S3, Glue, EMR, Lambda, Athena, Redshift
Good understanding of SQL and working with relational databases
Familiarity with DevOps tools (Git, CI/CD) and job scheduling/orchestration tools
Strong problem-solving skills and attention to detail
Educational Qualification:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field

📌 Statusneo-Data Engineer (Tamil Nadu)
🏢 NextHire
📍 Tamil Nadu