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.

Cassandra, and Neptune.

and analytics initiatives.

decisions.

Preferred Qualifications (Nice To Have)

Why Join Us

(ref : hirist.tech)

Skills Required

S3, Airflow, Cassandra, Postgresql, Sql Server, AWS Glue, Redshift, Lambda, Kinesis, Mysql, Spark, Apache Kafka, Mongodb