Senior Associate Data Engineer

S

Atlanta, GA(Onsite)

8 months + Extension

Senior Associate Technology L2
As a Senior Associate Technology L2 specializing in Data Platforms, you will play a key role in designing, developing, and optimizing data solutions that enable scalable, high-performance data processing. You will work with cutting-edge technologies to build robust data pipelines, data lakes, and analytics platforms that drive business insights and innovation.
Your Impact

• Design, develop, and maintain scalable data platforms that support enterprise data needs.
• Build and optimize data pipelines, ETL processes, and data integration workflows.
• Collaborate with data scientists, analysts, and business stakeholders to ensure data solutions meet business requirements.
• Implement best practices in data governance, security, and compliance.
• Work with cloud-based data platforms such as AWS, Azure, or Google Cloud Platform.
• Utilize big data technologies such as Hadoop, Spark, Kafka, and Snowflake.
• Automate data processing and monitoring using tools like Airflow, Kubernetes, or Apache NiFi.
• Troubleshoot and optimize data performance, ensuring high availability and reliability.
• Stay updated on emerging trends in data engineering and contribute to innovation within the team.

Skills & Experience

• 5+ years of experience in data engineering, data platforms, or related fields.
• Strong expertise in SQL, NoSQL, and data modeling.
• Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, or Snowflake.
• Proficiency in cloud-based data solutions (AWS, Azure, Google Cloud Platform).
• Experience with data pipeline orchestration tools like Apache Airflow, NiFi, or Kubernetes.
• Strong programming skills in Python, Java, Scala, or similar languages.
• Knowledge of data governance, security, and compliance best practices.
• Ability to work in an Agile environment and collaborate with cross-functional teams.
• Strong problem-solving and analytical skills with a focus on data-driven decision-making.

Set Yourself Apart With

• Experience with real-time data processing and streaming analytics.
• Knowledge of machine learning pipelines and data science workflows.
• Certifications in cloud platforms (AWS Certified Data Analytics Specialty, Azure Data Engineer, Google Cloud Platform Professional Data Engineer).
• Exposure to DevOps practices for data engineering.