Description

Key Responsibilities Data Engineering Design, develop, and maintain ETL/ELT processes and data pipelines. Integrate data from multiple source systems into data warehouses and data lakes. Monitor data quality, integrity, and consistency across platforms. Optimize database queries, data models, and data processing workflows. Support data migration, transformation, and reporting requirements. Collaborate with business stakeholders to understand data needs and deliver scalable solutions. Application Support Provide Level 2/Level 3 support for business critical applications. Monitor application health, performance, and availability. Investigate and resolve incidents, service requests, and production issues within SLA timelines. Perform root cause analysis and implement preventive measures. Coordinate application releases, patches, and deployments. Develop and maintain support documentation, knowledge articles, and operational procedures. Operational Excellence Ensure compliance with security, governance, and data management standards. Participate in on call support and incident management activities. Automate routine support and data processing tasks where possible. Work closely with development, infrastructure, and business teams to improve system reliability and user experience. Required Skills Strong experience with SQL and relational databases (SQL Server, Oracle, PostgreSQL, etc.). Knowledge of ETL/ELT tools and data integration technologies. Experience with cloud platforms such as Azure, AWS, or GCP. Familiarity with data warehousing, data lakes, and reporting tools. Understanding of application support processes, incident management, and monitoring tools. Scripting skills in Python, PowerShell, or Shell scripting. Knowledge of ITIL processes and Service Management tools (ServiceNow, Jira, etc.). Preferred Qualifications Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related field. Experience with Azure Data Factory, Databricks, Spark, Informatica, or similar technologies. Knowledge of DevOps, CI/CD pipelines, and automation tools. Relevant certifications in Data Engineering, Cloud Technologies, or IT Service Management

Key Skills

Education

Bachelor's degree