We are seeking a skilled Data Engineer (AWS- Scala Mandatory) to join our dynamic team. This role involves building and maintaining robust data pipelines, designing scalable databases, and collaborating with stakeholders to deliver high-quality data solutions.
Responsibilities
Build and maintain data pipelines using AWS Glue , Python , EMR / Spark , and Kafka / Kinesis streaming.
Design and develop relational databases, preferably using Aurora Postgres .
Write complex SQL queries and stored procedures .
Troubleshoot and resolve data quality issues.
Collaborate with stakeholders to understand data requirements and develop effective solutions.
Document data pipelines, workflows, and procedures.
Required Skills
Strong understanding of cloud technologies (AWS preferred), including services like Aurora / RDS , Glue , Lambda , EC2 , S3 , EMR , Step Functions , CloudTrail , and CloudWatch .
Hands-on experience building data pipelines using Glue , Python , EMR / Spark , and Kafka / Kinesis .
Extensive experience in relational database design and development , especially with Aurora Postgres .
Proficiency in Postgres SQL , including writing complex queries and stored procedures.
Excellent analytical and problem-solving skills.
Aws Data Engineer • Noida, Uttar Pradesh, India