Description

You will design, build, and optimize data pipelines and ETL processes for structured and unstructured data.

This role is on-site.

Responsibilities

• Develop and maintain data pipelines for batch and real-time processing.
• Implement ETL/ELT workflows and ensure data integrity through validation and transformation.
• Optimize data processing workflows using distributed computing frameworks.
• Design data models and schemas for efficient storage and retrieval.

Required Skills

• 8+ years of experience in data engineering, data architecture, and cloud computing.
• Strong knowledge of AWS services: Glue, Redshift, Athena, Lambda, and S3.
• Expertise in ETL tools such as Talend, Apache NiFi, Informatica, dbt, and AWS Glue.
• Proficiency in open-source tools: Apache Spark, Hadoop, Airflow, Kafka, and Flink.
• Strong programming skills in Python, SQL, and Scala.
• Experience with data schema design, normalization, and performance optimization.
• Hands-on experience with DevOps and CI/CD pipelines for data engineering.

Key Skills

Education

Any Graduate