Simform Solutions

19 hours ago

Ahmedabad, India Simform Solutions Full time

Description : Job Title : Sr. Data Engineer (AWS)Job Type : Full TimeExperience : 4+ yearsDepartment : Data EngineeringAbout 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. (ref:hirist.tech)

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