Simform Solutions - Senior Data Engineer

Description :

Job Title : Sr. Data Engineer (AWS)

Job Type : Full Time

Experience : 4+ 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.