This role is for one of our clients
Industry: IT Services and IT Consulting
Seniority level: Mid-Senior level
Min Experience: 5+ years
Location: Pune, Maharashtra, India, Bengaluru, Karnataka, India
JobType: full-time
Key Responsibilities
Shift- Flexibility to shift working
Project Type- L3 Support
Development Responsibilities
- Design and develop scalable data pipelines and modern data architectures using Snowflake.
- Lead migration initiatives from legacy databases to Snowflake.
- Build and optimize ELT frameworks using DBT.
- Develop and orchestrate workflows using Apache Airflow.
- Design and implement data models, including Star Schema and Snowflake Schema.
- Develop ingestion pipelines for structured and semi-structured data.
- Create reusable frameworks for data validation, reconciliation, auditing, and monitoring.
- Optimize Snowflake objects, including:
- Virtual Warehouses
- Clustering Keys
- Materialized Views
- Streams & Tasks
- Dynamic Tables
- Develop technical design documents and migration runbooks.
- Perform code reviews and enforce engineering best practices.
Migration Responsibilities
- Assess and migrate data from legacy platforms, including:
- Oracle
- SQL Server
- Teradata
- Netezza
- DB2
- SAP HANA
- On-Prem Data Warehouses
- Perform source system analysis and database rationalization.
- Design migration strategies, including:
- Full Data Loads
- Incremental Loads
- CDC (Change Data Capture)
- Historical Data Migration
- Conduct data reconciliation and validation during migration.
- Optimize transformed workloads for Snowflake architecture.
- Execute cutover planning and post-migration stabilization.
Good to have:
AMS / Production Support Responsibilities
- Provide L3 support for Snowflake data platforms and pipelines.
- Monitor and manage production data workloads.
- Troubleshoot data failures, performance issues, and pipeline disruptions.
- Perform root cause analysis (RCA) and implement permanent fixes.
- Support incident, problem, change, and release management activities.
- Work closely with business users and stakeholders to resolve production issues.
- Ensure adherence to SLA and operational support commitments.
- Participate in production releases and deployment activities.
Snowflake, DBT, Airflow
Informatica, SQL, Datastage
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
