Data Engineer

We are seeking skilled

Data Engineers with strong hands-on experience in

AWS, Python, Spark, and modern Data Engineering practices to join our growing team.

Location: Hyderabad

Experience: 7–10 Years

Notice period :Immediate to 30 Days

Key Responsibilities :

• Build and enhance ETL/ELT pipelines to ingest, transform, and curate data from multiple sources into trusted datasets.
• Develop and maintain data processing jobs using Python and Apache Spark, ensuring performance, scalability, and reliability.
• Implement and monitor data quality checks, perform reconciliations, and resolve data-related issues.
• Support production data pipelines, including monitoring, incident management, root cause analysis, and SLA adherence.
• Design and manage workflows using Apache Airflow (MWAA) and AWS-native services.
• Translate business requirements into technical solutions and maintain documentation, runbooks, and operational playbooks.
• Collaborate with onsite stakeholders and distributed engineering teams to deliver high-quality data solutions.

Mandatory Skills :

• 7+ years of Data Engineering experience.
• Strong expertise in Python and SQL.
• Hands-on experience with Apache Spark / PySpark.
• Experience building and supporting ETL/ELT pipelines.
• Strong AWS experience with S3, Glue, Lambda, IAM, CloudWatch, and Airflow (MWAA).
• Experience with CI/CD practices.
• Infrastructure as Code experience (Terraform preferred).
• Strong troubleshooting and production support experience.