Data Engineer (Data Analytics and Visualization)

EPAM Systems - Atlanta, GA

Full-time

Atlanta, GA

Professional, Scientific, and Technical Services

About the position

We are seeking a skilled Data Engineer with a focus on Data Analytics and Visualization to join our team. The ideal candidate will be responsible for managing our data workflow, optimizing data systems, and delivering valuable insights through advanced analytics and visualizations. This role involves supporting data pipeline executions from raw data to data restructuring and sending it to Google products. The Data Engineer will design modeling databases and contribute to building data platforms using classic data technologies and tools such as ETL/ELT. Additionally, the candidate will implement Hybrid Data solutions and write project documentation, working closely with product and engineering teams to understand data product requirements. Evaluating new features and data architecture will be essential to help drive decisions, as well as analyzing business problems and technical environments to design high-quality technical solutions.

Responsibilities

• Support data pipeline executions end to end from raw data to data restructuring and sending it to Google product
• Design modeling databases and contribute to building data platforms using classic data technologies and tools such as ETL/ELT
• Implement Hybrid Data solutions and write project documentation
• Work with product and engineering teams to understand data product requirements
• Evaluate new features and data architecture to help drive decisions
• Analyze business problems and technical environments to design high-quality technical solutions

Requirements

• Extensive production experience working with SQL
• Strong knowledge of Data Integration tools such as Pentaho, Talend, Informatica, Apache NiFi, KNIME, and SSIS
• Expert with Relational Databases such as SQL optimization, Relations, Stored Procedures, Transactions and Isolation Levels
• Ability to troubleshoot outages as well as identify and trace performance issues
• Comfortable with pattern-driven solutions and choosing the business requirements considering technical constraints
• Skilled in data-oriented programming languages such as SQL, Python, SparkSQL, and PySpark
• History working within Data Management, Data Storage, Data Analytics, Data Visualization, Data Integration and MDM
• Hands-on with data modeling using OLAP, OLTP, ETL, and DWH
• Familiar with Disaster Recovery and Data Security, such as Row Level & Audits
• Exposure to the Google Cloud Platform (GCP)

Benefits

• Medical, Dental and Vision Insurance (Subsidized)
• Health Savings Account
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Short-Term and Long-Term Disability (Company Provided)
• Life and AD&D Insurance (Company Provided)
• Employee Assistance Program
• Unlimited access to LinkedIn learning solutions
• Matched 401(k) Retirement Savings Plan
• Paid Time Off
• Legal Plan and Identity Theft Protection
• Accident Insurance
• Employee Discounts
• Pet Insurance
• Employee Stock Purchase Program