Data Engineer

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
• Collect, transform, validate, and load data from multiple sources into enterprise data platforms.
• Write efficient SQL queries to extract, manipulate, and analyze large datasets.
• Assist in building and optimizing data warehouses and cloud-based data solutions.
• Support data integration, data quality, and data governance initiatives.
• Collaborate with data scientists, analysts, and software engineers to deliver data-driven solutions.
• Maintain and monitor data pipelines, troubleshoot issues, and optimize performance.
• Follow software development best practices, including version control and Agile methodologies.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Software Engineering, Computer Engineering, Mathematics, Statistics, or a related technical field.
• 1–4 years of professional experience in software development, data engineering, analytics, or a related technical role.
• Strong programming skills in Python, Java, Scala, or SQL.
• Understanding of relational databases, SQL, and data modeling concepts.
• Familiarity with object-oriented programming and basic software development principles.
• Knowledge of data structures, algorithms, and database fundamentals.
• Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is a plus.
• Experience with big data technologies such as Apache Spark, Hadoop, Kafka, Hive, Airflow, or Snowflake is preferred but not required.
• Strong analytical, problem-solving, and communication skills.
• Willingness to relocate to Atlanta, GA for the paid training program and travel or relocate as required for client engagements across the United States.

Preferred Qualifications

• Internship, academic, or personal projects involving data engineering, ETL, SQL, or cloud technologies.
• Experience using Git or other version control systems.
• Knowledge of Linux, scripting, or automation tools.
• Understanding of Agile/Scrum development methodologies.