Data Engineer: Build Scalable Pipelines & Warehouses

OVA.Work; Alpharetta (GA); On-site; USD 90,000 - 120,000; Full time

Job summary

OVA.Work is seeking a skilled Data Engineer in Alpharetta, Georgia to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will partner closely with data analysts, scientists, and software engineers to ensure reliable data flow and accessibility.

This role involves developing ETL processes, ensuring data quality, and utilizing cloud technologies. A Bachelor's degree and 2+ years of experience in data engineering are essential.

Qualifications

• Strong knowledge of SQL and database systems.
• Experience with Python, Scala, or Java.
• Hands-on experience with ETL tools and frameworks.
• Knowledge of cloud platforms like AWS, Google Cloud, and Microsoft.
• Experience with big data technologies such as Apache Spark, Hadoop, and Kafka.
• Familiarity with data warehousing concepts.
• Understanding of CI/CD and DevOps practices.

Responsibilities

• Develop, maintain, and optimize ETL/ELT pipelines.
• Build scalable data architectures and data warehouses.
• Integrate data from multiple sources (APIs, databases, cloud platforms).
• Ensure data quality, integrity, and security.
• Monitor and troubleshoot data pipeline performance.
• Collaborate with analytics and business teams for reporting needs.
• Implement data governance and best practices.
• Automate workflows and improve data processing efficiency.
• Support real-time and batch data processing systems.

Skills

SQL

Python

Scala

Java

ETL tools

Apache Spark

Hadoop

Kafka

Data warehousing

CI/CD

Education

Bachelor's degree in Computer Science, Information Technology, Data Science, or related field

Tools

PostgreSQL

MySQL

MongoDB

AWS

Azure

GCP

Airflow

Snowflake

Redshift

BigQuery

Git

Job description

OVA.Work is seeking a skilled Data Engineer in Alpharetta, Georgia to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will partner closely with data analysts, scientists, and software engineers to ensure reliable data flow and accessibility.

This role involves developing ETL processes, ensuring data quality, and utilizing cloud technologies. A Bachelor's degree and 2+ years of experience in data engineering are essential.