Data Operations Specialist

CALIGO; Fatih; On-site; TRY 300,000 - 420,000; Full time

Job summary

CALIGO is a Data and Analytics Service Provider delivering end-to-end data warehousing, data engineering, analytics, and data operations services.

As a Data Operations Specialist, you will monitor and support data processes across large-scale enterprise ecosystems, focusing on pipeline monitoring, incident management, data quality controls, performance improvements, and technical support for business and engineering teams.

Qualifications

• Experience in Data Operations, ETL Development, Data Engineering, or BI Operations.
• Basic scripting or automation experience.
• Understanding of physical data modeling concepts.
• Knowledge of performance optimization and tuning techniques.

Responsibilities

• 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.

Skills

Data operations

ETL development

Data engineering

BI operations

Scripting/automation

SQL tuning

Performance tuning

Stakeholder collaboration

Tools

ODI

IBM DataStage

Informatica PowerCenter

Azure Data Factory

UC4

Airflow

Job description

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

• 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 escalation 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
• 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
• 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