Senior Data Engineer 4 4P/259

Location: Atlanta, GA

Contract- 1 Year
Experience Level: 10+ Years

Position Summary:

We are seeking an experienced Senior Data Engineer with a strong background in designing and developing robust, scalable, and high-performance data infrastructure. The ideal candidate will have 10+ years of experience in manipulating data, working with both relational and NoSQL systems, and building modern data pipelines across data lakes and warehouses. This role demands a deep technical skillset in SQL, data modeling, and data pipeline orchestration tools like Apache Spark, Hive, and Airflow.

Key Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines to process and integrate data from disparate sources.

• Work with structured and unstructured data to build clean, efficient, and machine-readable datasets.

• Normalize databases and ensure that data structures align with application and business requirements.

• Collaborate with business analysts, data scientists, and software engineers to deliver data solutions aligned with company objectives.

• Design and implement data models that support reporting, analytics, and machine learning use cases.

• Migrate and optimize workloads in cloud-based environments (e.g., Azure, AWS, GCP).

• Monitor and optimize data pipeline performance, data quality, and reliability.

• Implement data governance best practices and ensure compliance with security and privacy regulations.

Technical Skills & Expertise:

• Expert-level proficiency in SQL, including writing complex queries and optimizing performance.

• Deep understanding of data modeling techniques for both OLTP and OLAP systems.

• Hands-on experience with big data frameworks:

  • Apache Spark, Hive, Airflow, Databricks

• Experience with modern cloud data platforms:

  • Azure Data Lake, Azure Synapse, AWS Redshift, or Google BigQuery

• Strong experience with data orchestration, scheduling, and automation tools.

• Familiarity with Python, Scala, or Java for data processing and scripting tasks.

• Knowledge of NoSQL databases (e.g., MongoDB, Cassandra) and streaming tools (e.g., Kafka) is a plus.

• Experience with data security, lineage, and cataloging tools (e.g., Unity Catalog, Collibra).

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.

• Microsoft Azure Data Engineer Associate or equivalent certifications preferred.

• Experience in data governance processes and supporting enterprise analytics platforms.

• Knowledge of containerization (e.g., Docker) and CI/CD pipelines in DevOps environments.