Application Development

Job Location: Pune Location Flexibility: Multiple Locations in Country Req Id: 10850 Posting Start Date: 8/19/26 At Fujitsu, our purpose is to make the world more sustainable by building trust in society through innovation. Founded in Japan in 1935, Fujitsu has been a pioneer in technology and innovation for decades. Today, as a world-leading digital transformation partner, we are committed to transforming business and society in the digital age. With approximately 130,000 employees across over 50 countries, Fujitsu offers a broad range of products, services, and solutions. We collaborate with our customers to co-create solutions that drive enterprise-wide digitalization while actively working to address social issues and contribute to the United Nations Sustainable Development Goals (SDGs).

Job Description The Senior Data Engineer will be responsible for leading the support, optimization, and troubleshooting of enterprise data engineering pipelines and analytics platforms. This role requires strong hands-on experience with Snowflake, Databricks, AWS Glue, SQL, Python/PySpark, ETL/ELT development, data modeling, and production support. The resource should be able to work independently on complex data issues, guide other engineers, and coordinate with client SMEs for L2/L3 resolution and production changes.

• Enhance and support ETL/ELT pipelines using Snowflake, Databricks, AWS Glue, SQL, Python, and PySpark.
• Perform advanced troubleshooting for data pipeline failures, data refresh issues, performance problems, and data quality defects.
• Optimize Snowflake queries, Databricks jobs/notebooks, AWS Glue jobs, and data processing workflows for reliability, performance, and cost efficiency.
• Support data modeling, schema design, ingestion patterns, transformation logic, and reusable data engineering frameworks.
• Guide intermediate and junior data engineers on development standards, code review, testing, release support, and support documentation.
• Coordinate with Customer SMEs, Database Operations, application owners, and security teams for L2/L3 issue resolution and production approvals.
• Contribute to future migration planning from AWS Glue-based pipelines to Databricks, including assessment, design input, and migration readiness.

Core Skills: Snowflake, Databricks, AWS Glue, SQL, Python, PySpark, ETL/ELT development, data warehousing, data modeling, data quality validation, performance tuning, job scheduling, production support, incident triage, and L2/L3 troubleshooting.

Good-to-Have Skills: ServiceNow, xMatters or other alerting tools, CloudWatch or equivalent monitoring tools, AWS S3, IAM, ODI, Oracle, PL/SQL, SFTP, API-based ingestion, DevOps/CI-CD, documentation, release management, and AWS Glue to Databricks migration readiness. Relocation Supported: No Visa Sponsorship Approved: No At Fujitsu, we are committed to an inclusive recruitment process that values the diverse backgrounds and experiences of all applicants. We believe that hiring people from a wide variety of backgrounds makes us stronger, not because it's the right thing to do, but because it allows us to draw on a wider range of perspectives and life experiences.