MuleSoft Data Engineer -Informatica-to-Snowflake Migration (India)

MuleSoft Data Engineer -Informatica-to-Snowflake Migration (India)

04 Sep
|
LatentBridge
|
India

04 Sep

LatentBridge

India

We are looking for MuleSoft Data Ebginner Informatica-to-Snowflake Migration

Exp 4yrs plus

Hybrid - 3days office

Location - Pune/Banglore

You will work directly with client data engineering teams to assess existing Informatica workflows, define a repeatable migration pattern, and implement solutions that balance MuleSoft-based integration with Snowflake-native tooling — always optimizing for cost, maintainability, and long-term platform fit.

Key Responsibilities

- Assess and inventory existing Informatica PowerCenter workflows (mappings, sessions, workflows) to determine migration complexity and prioritization.
- Design and build MuleSoft Anypoint Platform integrations (APIs, connectors, DataWeave transformations) to replace legacy ETL/ELT and enable modern, event-driven and API-based data movement.
- Re-engineer simple, high-volume Informatica load jobs into repeatable, metadata-driven migration patterns; design custom solutions for complex, high-transformation workflows.
- Build and optimize data pipelines into Snowflake using native capabilities — COPY INTO, Snowpipe, Streams & Tasks, stored procedures, Snowpark, and OpenFlow — choosing the right tool for each ingestion and transformation pattern.
- Migrate file-based, batch ingestion (e.g., S3 → Snowflake) toward more real-time, event-driven, or API-based patterns where appropriate.
- Partner with client architects and enterprise architecture teams to align solutions with MuleSoft and Snowflake platform standards.
- Implement data quality, validation, and reconciliation checks to ensure migrated pipelines match legacy Informatica outputs.
- Contribute to data governance efforts, including lineage documentation, metadata management, and use of AI-assisted tooling (e.g., Snowflake Cortex) to accelerate governance maturity.
- Document migration patterns, runbooks, and best practices to support a scalable, repeatable delivery model across workflows and clients.
- Communicate progress, risks,



and technical trade-offs clearly to both technical stakeholders and business sponsors.

Required Qualifications
- 3+ years of hands-on experience with MuleSoft Anypoint Platform (API design, DataWeave, connectors, orchestration).
- Direct, hands-on experience migrating workflows from Informatica PowerCenter (or similar ETL tools) to a modern cloud data platform.
- Strong working knowledge of Snowflake, including COPY INTO, Streams & Tasks, stored procedures, and performance/cost optimization.
- Solid understanding of ETL/ELT concepts, data warehousing, and dimensional modeling.
- Proficiency in SQL and at least one scripting/programming language (e.g., Python, Java).
- Experience with cloud storage and ingestion patterns, particularly AWS S3-based file landing and batch processing.
- Familiarity with API-led connectivity and integration best practices.
- Robust analytical and problem-solving skills, with the ability to reverse-engineer legacy mappings and translate business logic into modern pipelines.
- Excellent communication skills and comfort working directly with client stakeholders in a consulting or professional services environment.

Preferred Qualifications

- Experience with Snowflake Snowpark, PySpark, or notebook-based development.
- Familiarity with Snowflake OpenFlow, Cortex, data sharing, or clean rooms.
- Experience with AWS Glue and the ability to evaluate cost trade-offs between Glue, MuleSoft, and Snowflake-native approaches.
- Background in financial services or another highly regulated industry.
- Experience defining or supporting data governance programs (lineage, metadata management, data definitions).
- MuleSoft certification (e.g., MuleSoft Certified Developer) and/or SnowPro Core certification.
- Prior experience in a consulting, systems integrator, or professional services delivery role.

Core Tools & Technologies
- Integration: MuleSoft Anypoint Platform, DataWeave, APIs
- Data Platform: Snowflake (COPY INTO, Snowpipe, Streams & Tasks, Snowpark, OpenFlow, Cortex)
- Legacy ETL: Informatica PowerCenter
- Cloud: AWS (S3, Glue)

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📌 MuleSoft Data Engineer -Informatica-to-Snowflake Migration (India)
🏢 LatentBridge
📍 India

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