Data Engineer

Linq Global Group, LLC

Indianapolis, IN, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Java (Programming Language) .NET Framework Applications Architecture Big Data Unix Cloud Database Databases Continuous Integration Information Engineering Data Governance Data Integrity Extract Transform Load (ETL)

+15 more

Data Systems Database Development DevOps Distributed Systems Python (Programming Language) Microsoft SQL Server SQL Stored Procedures Enterprise Software Applications Informatica Powercenter Snowflake Sybase Pyspark Information Technology Integration Frameworks Data Pipelines

Job description

Develop and optimize SQL Server databases, queries, and stored procedures.
Design and maintain ETL workflows using Informatica and other integration tools.
Build scalable data pipelines leveraging Python, Pyspark, and Snowspark.
Implement cloud data solutions on AWS Snowflake for analytics and reporting.
Work with Sybase databases to ensure data integrity and performance.
Develop applications using Java and Microsoft .NET to support data workflows.
Collaborate with business analysts, data scientists, and stakeholders to translate requirements into technical solutions.
Ensure compliance with data governance, security, and quality standards.
Monitor, troubleshoot, and optimize data systems for performance and reliability.

Requirements

Do you have experience in UNIX?, Do you have a Bachelor’s degree?, We are seeking a highly skilled Data Engineer to design, build, and optimize data pipelines and storage solutions across enterprise systems. The ideal candidate will have strong expertise in SQL Server, Unix, Sybase, AWS Snowflake, Python, Snowspark, Pyspark, Java, Microsoft .NET, and Informatica, with the ability to deliver scalable solutions that support analytics, reporting, and business intelligence initiatives., * Bachelor’s degree in Computer Science, Information Technology, or related field.

3-5 years of experience in data engineering or database development.
Strong proficiency in SQL Server, Unix, Sybase, AWS Snowflake, Python, Snowspark, Pyspark, Java, .NET, and Informatica.
Experience with ETL processes, data modeling, and pipeline optimization.
Knowledge of cloud data architectures and modern data engineering practices.
Excellent problem-solving and communication skills., * Experience with big data platforms and distributed computing.
Familiarity with DevOps tools for CI/CD in data engineering.
Exposure to data governance frameworks and compliance standards.