Senior Data Engineer

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Design develop and support scalable IBM DataStage ETL solutions and enterprise data pipelines for mission-critical applications. Collaborate with business and technology teams to deliver high-quality performant and reliable data integration solutions aligned with enterprise architecture standards. The ideal candidate will have extensive experience working with multiple source and target systems including Oracle DB2 Snowflake flat files cloud storage structured semi-structured and unstructured data sources. The candidate should possess deep expertise in IBM DataStage Snowflake Unix Shell Scripting and PL/SQL. This role involves building scalable data pipelines optimizing data movement processes supporting data warehouse data lake and Lakehouse platforms and enabling enterprise analytics and reporting solutions.

• Strong hands-on experience with IBM DataStage 11.7 or above including Parallel Jobs Sequencers Parameter Sets Job Monitoring Administration and Performance Tuning.
• Advanced SQL and PL/SQL development skills with strong experience in Oracle and DB2 environments.
• Design develop test deploy and support complex ETL/ELT solutions using DataStage and enterprise data pipelines.
• Develop reusable ETL frameworks using IBM DataStage parameterized jobs metadata-driven solutions and automated data processing workflows.
• Analyze business and technical requirements and translate them into scalable ETL designs and data integration solutions.
• Implement data extraction transformation validation cleansing reconciliation and loading processes using DataStage.
• Experience integrating data from Oracle DB2 SQL Server Snowflake flat files XML JSON Parquet and cloud storage platforms using DataStage.
• Strong experience with Snowflake including Streams and Tasks Dynamic Tables Internal and External Stages Secure Views Data Sharing and Query Performance Optimization.
• Experience designing developing cloud-native data pipelines and migrating data from on-premises systems to Snowflake.
• Strong Unix/Linux Shell Scripting skills for process automation file handling batch scheduling operational support and production troubleshooting.
• Experience creating high-performance batch incremental and CDC-based data pipelines for large-volume data processing.
• Strong understanding of ETL/ELT architecture Data Warehousing Dimensional Modeling Data Lakes and Data Lakehouse architectures.
• Experience with performance tuning root cause analysis production support and incident management.
• Working knowledge of Git CI/CD pipelines Agile methodologies and DevOps practices.
• 8-10 years engineering experience.

A Bachelors degree in computer engineering computer science or other related discipline is required.

After training the candidate will be working independently and communicate/collaborate with stakeholders to understand business needs. The position is hybrid in Cincinnati OH preferred but open to remote candidates who will work eastern time.

• #1 requirement - IBM DataStage experience.
• #2 requirement - Snowflake skills.
• #3 requirement - Scripting experience (Unix).
• #4 requirement - Advanced SQL skills.

• CI/CD experience.
• Performance optimization in Snowflake.
• Previous payments experience.