Data Engineer

Company Description Client: Confidential Role Description This is a full-time or long term Contractual, on-site hybrid role for an AWS Data Engineer based in Mumbai. The AWS Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and systems on AWS. Day-to-day tasks include data transformation, integration, monitoring data quality, optimizing performance, and collaborating with cross-functional teams to manage data infrastructure.

Additional responsibilities involve troubleshooting data issues, ensuring security compliance, and staying updated with the latest AWS technologies. Qualifications Requirement AWS Data Engineer Experience: 8- 12 yrs Location: Mumbai (Hybrid) Job: Long Term Contractual Package: Industry Standard. Notice Period: Immediate Job Description Role Overview We are seeking a hands-on Data Engineer with strong expertise in SQL, Python, Kafka, and AWS cloud services.

The ideal candidate will have experience building and maintaining scalable data pipelines, working with modern data warehouses such as Snowflake, and using transformation tools like DBT. This role is execution-focused and requires strong technical depth in data engineering fundamentals. Mandatory Skills (Must Have) Strong expertise in SQL (advanced joins, window functions, performance tuning, query optimization) Hands-on experience with Kafka Strong programming skills in Python Experience working with AWS Cloud Experience building and maintaining data pipelines Good to Have (Basic Knowledge Acceptable) dbt (models, incremental loads, ref, snapshots) Snowflake (basic warehouse usage, query optimization, data loading) Terraform / CloudFormation / any IaC tool (basic understanding and usage) Key Responsibilities Data Engineering & Pipelines Design, develop, and maintain scalable batch and streaming data pipelines Implement ETL/ELT processes using #Python and #SQL Build reliable #Kafka based ingestion pipelines Ensure high data quality, reliability, and performance #AWS #Cloud Implementation Work with AWS services such as: #S3, #Redshift / #Snowflake, #Lambda, #Glue, #IAM Deploy and maintain data infrastructure in AWS Data Warehousing & Modeling Develop and maintain data models to support analytics use cases Optimize SQL queries for performance and cost efficiency Support Snowflake-based data warehousing workflows Streaming & Real-Time Processing Implement Kafka producers and consumers Manage topic configurations and partition strategies Handle schema evolution and offset management Infrastructure & DevOps Support infrastructure provisioning using Terraform / #CloudFormation Participate in #CI/CD processes for data pipelines Technical Requirements Skill Expected Level #SQL : Advanced / Expert #Python : Strong #Kafka : Hands-on Production Experience #AWS : Strong Working Knowledge #dbt : Basic Working Knowledge #Snowflake : Basic Working Knowledge #IaC (#Terraform) : Basic Contact: DM or mail [email protected]