Data Engineer

Linq Global Group, LLC
Indianapolis, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Indianapolis, United States of America

Tech stack

Java
.NET
Applications Architecture
Big Data
Unix
Cloud Database
Databases
Continuous Integration
Information Engineering
Data Governance
Data Integrity
ETL
Data Systems
Database Development
DevOps
Distributed Systems
Python
Microsoft SQL Server
SQL Stored Procedures
Enterprise Software Applications
Informatica Powercenter
Snowflake
SAP Sybase ASE
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.

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