Sr. Data Engineer - AWS

Job Title: Sr. Data Engineer (AWS)
Location: Ahmedabad, Gujarat
Job Type: Full Time
Experience: 3 to 7 years
Department: Data Engineering

About Simform:

Simform is a premier digital engineering company specializing in Cloud, Data, AI/ML, and Experience Engineering to create seamless digital experiences and scalable products. Simform is a strong partner for Microsoft, AWS, Google Cloud, and Databricks. With a presence in 5+ countries, Simform primarily serves North America, the UK, and the Northern European market.

Simform takes pride in being one of the most reputed employers in the region, having created a thriving work culture with a high work-life balance that gives a sense of freedom and opportunity to grow.

Role Overview:

The Sr. Data Engineer (AWS) will be responsible for building and managing robust, scalable, and secure data pipelines across cloud-based infrastructure. The role includes designing ETL/ELT workflows, implementing data lake and warehouse solutions, and integrating with real-time and batch data systems using AWS services. You will work closely with data scientists, ML engineers, and software teams to power data-driven applications and analytics.

Key Responsibilities:

• Design, develop, and maintain scalable end-to-end data pipelines on AWS.
• Work with services like AWS Glue, Kinesis, S3, Redshift, Athena, and Lambda for data processing and analytics.
• Build robust ETL/ELT workflows for both batch and streaming data workloads.
• Design high-performance data models and manage large-scale structured and unstructured datasets (100GB+).
• Develop distributed data processing solutions using Apache Kafka, Spark, Flink, and Airflow.
• Implement best practices for data transformation, data quality, and error handling.
• Optimize SQL queries, implement indexing, partitioning, and tuning strategies for performance improvement.
• Integrate various data sources including PostgreSQL, SQL Server, MySQL, MongoDB, Cassandra, and Neptune.
• Collaborate with software developers, ML engineers, and stakeholders to support business and analytics initiatives.
• Ensure adherence to data governance, security, and compliance standards.
• Participate in client meetings, provide technical guidance, and document architecture decisions.

Preferred Qualifications (Nice to Have):

• Exposure to data lake architecture and lakehouse frameworks.
• Understanding of integrating data pipelines with ML workflows.
• Experience in CI/CD automation for data pipeline deployments.
• Familiarity with data observability and monitoring tools.

Why Join Us:

• Young Team, Thriving Culture
• Flat-hierarchical, friendly, engineering-oriented, and growth-focused culture.
• Well-balanced learning and growth opportunities
• Free health insurance.
• Office facilities with a game zone, in-office kitchen with affordable lunch service, and free snacks.
• Sponsorship for certifications/events and library service.
• Flexible work timing, leaves for life events, WFH and hybrid options.