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Simform Solutions - Senior Data Engineer - AWS

Simform Solutions - Senior Data Engineer - AWS

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Simform

4 years

0 Lacs

Ahmedabad Gujarat India

Posted:3 days ago| Platform:

Apply

Skills Required

data aws engineering ai ml databricks azure etl software power design processing apache kafka spark sql indexing tuning strategies postgresql server mysql mongodb support analytics governance security compliance architecture automation pipeline monitoring

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title :

Sr. Data Engineer (AWS)

Location :

Ahmedabad, Gujarat

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/Azure) 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/Azure 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/Azure.
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.

(ref:hirist.tech)

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