Data Operations Specialist İş İlanı

CALIGO is a Data and Analytics Service Provider , delivering end-to-end data warehousing, data engineering, analytics, and data operations services to leading organizations. As a Data Operations Specialist , you will monitor, manage, and support data processes across large-scale enterprise data ecosystems. Your focus will include Pipeline Monitoring, Incident Management, Data Quality Controls, Performance Improvement, and Technical Support for both business and engineering teams. Key Responsibilities 📌 Data Pipeline Monitoring Monitor daily ETL/ELT pipelines using data integration tools (ODI, IBM DataStage, Informatica Power Center, Azure Data Factory, etc.) Manage job schedules and end-to-end workflows via orchestration tools (UC4, Airflow, etc.) Detect failures, bottlenecks, and performance abnormalities 📌 Incident Management & Issue Resolution Perform technical analysis for failed/slow/incomplete data loads Conduct root-cause analysis on source, target, mapping, and transformation issues Resolve operational-level issues or escalate to development teams when needed 📌 Data Quality & Validation Execute data profiling, reconciliation, and validation checks Ensure quality of data, support the automation of data quality rules 📌 Performance Optimization Identify performance bottlenecks in data flows Apply performance tuning techniques at database and ETL levels Work with data engineers to improve pipeline run times and resource usage 📌 Business & Technical Support Assist BI, reporting, and analytics teams with ad-hoc or operational data needs Validate critical data outputs (regulatory, financial, operational reports) Providing support and consultancy to development teams What We Are Looking For Prior experience in Data Operations, ETL Development, Data Engineering, or BI Operations Strong SQL skills (Oracle SQL, PL/SQL, T-SQL) Basic programming experience for scripting or automation Understanding of physical data modeling concepts (keys, indexes, partitions, relationships, surrogate keys, constraints, etc.) Knowledge of performance optimization and tuning techniques (SQL tuning, indexing strategies, partitioning, parallelism, ETL performance improvements, etc.) Hands-on experience with data integration tools (ODI, IBM DataStage, Informatica Power Center, Azure Data Factory, etc.) Experience with orchestration tools (UC4, Airflow, etc.) Comfortable working with both technical and business stakeholders Familiarity with DevOps, Git, CI/CD pipelines Experience in Banking, Insurance, Telco, or similar large enterprise data environments