About The Role

We are seeking a highly skilled and experienced Data Engineer to join our energetic data and analytics team. The ideal candidate will have strong technical skills in AWS data services and will be responsible for designing, developing, and implementing robust, insightful, data-intensive solutions on AWS. This role requires a deep understanding of data engineering, strong SQL skills, and extensive hands-on experience with services such as Amazon Redshift, Amazon Athena, AWS Glue, Amazon EMR, Amazon Kinesis, AWS DMS, Amazon S3, and AWS orchestration services for data pipelines. You will play a crucial role in building an AWS-native cloud data platform.

Responsibilities

Design, build, and maintain scalable batch and streaming data pipelines using AWS Glue, Amazon EMR, Amazon Kinesis, and AWS Lambda.

Model and optimise analytical data stores in Amazon Redshift and S3-based data lakes, including partitioning, file-format, and query-performance tuning.

Implement CDC and ingestion patterns from operational databases and SaaS sources using AWS DMS, Glue connectors,



and Kinesis.

Orchestrate and monitor pipeline workflows using Amazon MWAA (Managed Workflows for Apache Airflow), AWS Step Functions, and Amazon EventBridge.

Own data cataloguing, lineage, and fine-grained access control via AWS Glue Data Catalog and AWS Lake Formation.

Contribute to the development, deployment, and lifecycle management of data applications on AWS, leveraging services including EC2, Amazon EKS, AWS Lambda, AWS Fargate, Amazon RDS/Aurora, DynamoDB, and Amazon S3.

Embed data quality, observability, cost optimisation, and security controls (encryption, IAM least privilege, PII handling) into every pipeline.

Collaborate with analysts, data scientists, and business stakeholders to translate requirements into production-grade data products.

Required Skills And Qualifications

Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field.

3-6 y

📌 Data Engineer (Gurugram)
🏢 Minfy
📍 Gurugram