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Lead Data Engineer
2 months ago
POSITION SUMMARY:
The Data Engineering Lead Analyst will be a key contributor to ensure the successful delivery of ETL Production Services and Application Support. To be successful in this role, you must understand ETL processes and be experienced in supporting Production Services applications. You must also have excellent communication skills and be able to build and maintain relationships with both internal and external stakeholders.
They will be responsible for partnering with key players in Customer Service, Client Service, Provider Service, and Workforce Planning, while drawing on support from Technology, Finance, Strategy, Operational Readiness, and Solutions Delivery.
ESSENTIAL FUNCTIONS:
Production support activities such as trouble shooting, operational efficiencies, release management, etc.
Develop SSIS code, steward existing ETL jobs, manage DB space and tune queries.
Provide support for defect resolution and triage.
Participate in proof of concepts for software tools/technologies related to application or process development.
Provide support on CI/CD pipelines and automation.
Ultimately responsible for maintaining solutions and maintain documentation related to production systems, including standard operating procedures, and troubleshooting guides.
QUALIFICATIONS:
3+ years experience in Production support role.
Performance Tuning and optimizing experience of SQL, PL/SQL code to reduce execution time or improve efficiency.
Hands-on experience in SSIS, SQL Server, Oracle, and SQL.
Experience with scheduling tools such as CA Workload Automation.
Strong understanding of database concepts and experience with query optimization and performance tuning.
Excellent troubleshooting and problem-solving skills, with the ability to analyze complex issues and implement effective solutions.
Strong communication and interpersonal skills, with the ability to work collaboratively in a fast-paced environment.
Primary Skills:
SSIS, SQL (SQL Server, Oracle, Teradata)
Job Scheduling (Airflow, DAG, Control M, etc.)
Performance Tuning, Site Reliability Engineering, Issue Resolution
Python, DevOps, Basic Cloud Experience (AWS/Azure/GCP)
Additional Skills:
Databricks, Cloud Certification (AWS Cloud Practitioner or similar), Apache Spark