Sr. Data Engineer

Genesys is seeking a Senior Data Engineer to join the Data Engineering team within the Enterprise Data & Analytics organization. The role involves designing, building, and maintaining robust data pipelines, developing ETL/ELT pipelines, and ensuring data accuracy, integrity, privacy, security, and compliance. The successful candidate will have hands-on experience with cloud data warehouses, experience building solutions on cloud platforms, and strong proficiency in Python and/or Java.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 5+ years of hands-on experience in data engineering or data platform development.
• Strong experience with cloud data warehouses, especially Snowflake.
• Experience building solutions on cloud platforms such as AWS, Azure, or GCP.
• Experience working with CRM or enterprise systems such as Salesforce (or similar).
• Strong SQL expertise and experience with data ingestion tools such as Fivetran, Talend, or equivalent.
• Hands-on experience working with large-scale datasets and distributed data processing frameworks (Spark, Hive, Hadoop).
• Strong proficiency in Python and/or Java, with solid object-oriented design principles.
• Experience with workflow orchestration tools such as Apache Airflow.
• Solid understanding of data modeling, database design, and performance optimization.

Benefits

• 401k Matching
• Retirement Plan
• Relocation Assistance