Data Engineering SMTS/LMTS

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Data Engineering SMTS/LMTS in Others new

Informatica
Full time
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Others
10/31/2026
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Hyderābād, India

Responsibilities

Lead the design, execution, optimization, and delivery of batch and event-driven data pipelines.
Build production-grade data products using Python, SQL, dbt, Snowflake, and Airflow.
Define standards for data ingestion, transformation, orchestration, storage, data contracts, semantic consistency, lineage, and reusable data assets.
Develop Node.js services, middleware, APIs, and integration components for applications, dashboards, and enterprise platforms.
Implement agentic capabilities, MCP server integrations, structured outputs, context retrieval, and human-agent handoffs.
Establish testing, CI/CD, performance tuning, observability, SLOs, and SLAs across data and application services.
Conduct code and design reviews, mentor Senior and Associate Engineers, and champion engineering standards and documentation.
Lead projects from requirements through architecture, deployment, and ongoing operation while translating technical decisions into business outcomes.

Requirements

Typically 10 to 14+ years of hands-on experience in Data Engineering, Software Engineering, or Platform Engineering, or equivalent demonstrated technical depth.
Deep expertise in Python and advanced SQL, with experience operating production data platforms.
Extensive experience with dbt, Apache Airflow, Apache Spark, and Snowflake, including optimization, tuning, cost management, and troubleshooting.
Experience with distributed systems, dimensional or domain-oriented data modeling, batch and streaming patterns, and data-as-a-product concepts.
Practical experience with Node.js and TypeScript or JavaScript for backend services, microservices, or integration layers.
Hands-on experience designing and consuming REST APIs, GraphQL, webhooks, Kafka, and AWS SQS/SNS, plus familiarity with API gateways, OAuth2, and SSO.
Experience building or integrating AI-enabled workflows with LangGraph or LangChain, MCP servers, structured outputs, context engineering, vector stores, and retrieval mechanisms.
Experience using AI-native developer tools such as Cursor, Codex, or Claude Code with rigorous review and testing.
Hands-on cloud experience, preferably AWS, with familiarity with Docker, Kubernetes or ECS, Lambda, and Terraform.
Proven ability to lead complex technical projects, bridge data-platform and web-application teams, mentor engineers, and communicate effectively with product and engineering stakeholders.

Benefits

Salesforce provides benefits and resources intended to support balance and employee well-being.
Salesforce offers reasonable accommodations during the application or recruiting process upon request.
Salesforce uses AI tools to assist with resume and qualification assessment, while humans make candidate selection and hiring decisions.

Informatica

Informatica (NYSE: INFA), a leader in AI-powered enterprise cloud data management, helps businesses unlock the full value of their data and AI. As data grows in complexity and volume, Informatica’s Intelligent Data Management Cloud™ delivers a complete, end-to-end platform with a suite of industr...

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