Data Engineer (AWS+Pyspark)

Zensar Technologies Ltd; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Zensar Technologies Ltd in Hyderabad is seeking a Data Engineer with 4–7 years of hands-on experience to design, build and operate data pipelines on AWS.

You will leverage Python and PySpark for distributed data processing, write complex SQL, and work with core AWS services such as Lambda, RDS, CloudWatch, CloudTrail, SNS and SQS. You will also gain experience with AWS analytics tools like IAM, EMR, Glue, Lake Formation, DynamoDB, and contribute to reliable monitoring and alerting.

Qualifications

• 4–7 years of hands-on experience as a Data Engineer.
• Designing, building, and supporting data pipelines on AWS.
• Strong SQL expertise with large datasets across relational and analytical databases.
• Hands-on experience with AWS data and analytics services (IAM, EMR, Glue, Lake Formation, RDS, DynamoDB).
• IAM management experience and enforcing least-privilege access.
• Experience building end-to-end data ingestion, transformation, and processing pipelines.
• Strong monitoring, logging, and alerting using CloudWatch and CloudTrail.
• Excellent debugging and root cause analysis skills across data pipelines and AWS services.

Skills

Python

PySpark

SQL

IAM management

Data ingestion pipelines

Monitoring & logging

Troubleshooting

Tools

AWS Lambda

Amazon RDS

CloudWatch

CloudTrail

SNS

SQS

AWS Glue

EMR

Lake Formation

DynamoDB

Job description

• 4–7 years of hands‑on experience as a Data Engineer, designing, building, and supporting data pipelines on AWS.
• Strong programming skills in Python and PySpark, with hands‑on experience in distributed data processing and big data frameworks.
• Strong SQL expertise, including complex query writing, performance optimization, and working with large datasets across relational and analytical databases.
• Proven experience working with AWS core services, including Lambda, RDS, CloudWatch, CloudTrail, SNS, and SQS.
• Hands‑on experience with AWS data and analytics services such as:
  IAM, EMR, AWS Glue, Lambda, Lake Formation, RDS, DynamoDB, and related services.
• Strong expertise in IAM management, including role design, policy creation, permission boundaries, and enforcing least‑privilege access.
• Experience in building and maintaining end‑to‑end data ingestion, transformation, and processing pipelines.
• Solid understanding of monitoring, logging, and alerting, leveraging CloudWatch and CloudTrail.
• Excellent debugging, troubleshooting, and root cause analysis skills across data pipelines and AWS services.