Lead Engineer

Job Description

– Support Engineer (Data Practice) – Snowflake, Airflow, IICS
Role: Support Engineer
Job Summary:
We are looking for a Support Engineer in Data Practice with expertise in Snowflake, Apache Airflow, and Informatica IICS (Intelligent Cloud Services). The ideal candidate will be responsible for monitoring, troubleshooting, and optimizing data pipelines, ETL workflows, and cloud-based data warehouses to ensure seamless data operations.

Key Responsibilities:

L1/L2 Support & Monitoring:
• Monitor Snowflake workloads, Airflow DAGs, and IICS ETL jobs, ensuring smooth execution.
• Troubleshoot data pipeline failures, performance bottlenecks, and job scheduling issues.
• Provide L1/L2-level support by analyzing logs, errors, and resolving real-time data ingestion issues.
• Perform incident management and root cause analysis (RCA) for recurring issues.

Data Pipeline & ETL Support:
• Assist in maintaining and optimizing Snowflake data warehouse performance.
• Support ETL workflows in Informatica IICS, ensuring data integrity and transformation accuracy.
• Handle Apache Airflow job scheduling, orchestration, and task dependencies.
• Work on data validation, troubleshooting missing or incorrect records, and implementing fixes.

Security, Maintenance & Documentation:
• Ensure data security, access control, and role-based permissions in Snowflake.
• Assist in managing data backup, retention policies, and performance tuning.
• Maintain detailed runbooks, support documentation, and troubleshooting guides for issue resolution.
• Collaborate with data engineers and developers to enhance system reliability.

Required Skills & Qualifications:
• 3+ years of experience in Data Engineering Support or ETL Support.
• Strong understanding of Snowflake architecture, SQL queries, and performance tuning.
• Hands-on experience in Apache Airflow DAG monitoring and troubleshooting.
• Knowledge of Informatica IICS (Cloud Data Integration, task flows, and error handling).
• Basic understanding of Python or SQL scripting for debugging data issues.
• Experience in data warehousing concepts, ETL workflows, and cloud platforms (AWS/Azure/GCP).
• Strong analytical and problem-solving skills for resolving data-related issues.

Preferred Qualifications:
• Exposure to CI/CD pipelines for data deployment.
• Knowledge of cloud storage (S3, ADLS, or GCS) and API-based data integrations.
• Familiarity with Git for version control and JIRA for ticket tracking."
 

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA endeavors to make to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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