Simform Solutions - Senior Data Engineer
Simform SolutionsAhmedabad1 day ago
Job descriptionIntegrate various data sources including PostgreSQL, SQL Server, MySQL, MongoDB, Collaborate with software developers, ML engineers, and stakeholders to support business Ensure adherence to data governance, security, and compliance standards. Participate in client meetings, provide technical guidance, and document architecture 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. 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.
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.
Cassandra, and Neptune.
and analytics initiatives.
decisions.
Preferred Qualifications (Nice to Have) :
Why Join Us :
(ref : hirist.tech)
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