Start searching
Back to Jobs
Technology

Data Engineer

Rresolveexpert Solutions LLCGreenwood, IN🇺🇸United States

Why this role stands out

This hybrid Data Engineer role at Rresolveexpert Solutions LLC offers a fantastic opportunity to leverage your expertise in SQL, Python, and cloud technologies to build and optimize data pipelines, contributing to impactful projects. If you thrive on complex problem-solving and collaborating with diverse teams, you'll find immense growth potential and a dynamic work environment here. Apply today to join a forward-thinking company and advance your career!

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationGreenwood, IN, United States
DockerMySQLOracleSQLSQL ServerAWSETLSnowflakeAgileApacheApache SparkAzureBigQueryData PipelineGitGoogle CloudPostgreSQLPythonRedshift

Job description

Job Title: Data Engineer

Introduction

We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data platforms. The ideal candidate will have strong experience with SQL, Python, cloud technologies, ETL/ELT processes, data warehousing, and distributed data processing.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT data pipelines.
  • Develop reliable data ingestion and transformation workflows using Python and SQL.
  • Build and optimize data warehouses, data lakes, and data marts.
  • Work with large datasets using technologies such as Spark, PySpark, or similar distributed processing frameworks.
  • Develop data pipelines using cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Implement data quality, validation, monitoring, and error-handling processes.
  • Optimize SQL queries, data models, and pipeline performance.
  • Integrate data from APIs, databases, SaaS applications, and other structured/unstructured sources.
  • Collaborate with Data Scientists, BI Developers, Analysts, Software Engineers, and business stakeholders.
  • Implement CI/CD, version control, testing, and deployment best practices for data engineering workflows.
  • Ensure data security, governance, privacy, and compliance requirements are followed.
  • Troubleshoot data pipeline failures and resolve production issues.

Requirements

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • 10+ years of professional experience in data engineering or a related field.
  • Strong proficiency in SQL and Python.
  • Experience developing ETL/ELT pipelines and working with data integration tools.
  • Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with data warehousing technologies such as Snowflake, BigQuery, Redshift, or Azure Synapse.
  • Experience with Apache Spark/PySpark or other distributed processing technologies.
  • Familiarity with Git, CI/CD, Docker, and Agile development practices.
  • Strong analytical, troubleshooting, and communication skills.

Similar jobs

Apply