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Employee Success Data Engineer - Snowflake

Salesforce · India - Hyderabad

experiencedIndia - HyderabadPosted 14 Jul 2026

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Salesforce is hiring an Employee Success Data Engineer - Snowflake in India - Hyderabad.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details

Responsibilities

  • Data Engineering: Develop and maintain ETL/ELT pipelines using Apache Airflow and Python under the guidance of senior engineers.
  • Data Foundations: Assist in building and maintaining data models within Snowflake and Salesforce Data360, ensuring data accuracy and consistency.
  • Graph Development: Support the team in maintaining Neo4j data graphs, writing basic Cypher queries, and loading data into graph structures.
  • DevOps & CI/CD: Participate in CI/CD workflows using Git, following team standards for code versioning, testing, and deployment.
  • Data Quality: Execute QA testing on pipelines and datasets, flag anomalies, and help document data lineage and transformation logic.
  • Integration Support: Assist in building and maintaining APIs and data connections between Snowflake, AWS services (S3, Lambda), and other platforms.
  • Documentation: Create and maintain clear technical documentation for pipelines, data models, and processes.
  • Collaboration: Work with senior engineers and business partners to understand requirements and contribute to solution delivery.

Requirements

  • Relevant work experience, with 5+ years related information systems
  • Foundational proficiency in SQL, Python, Informatica IICS, dbt.
  • Proficiency in Apache Airflow and Snowflake.
  • Understanding of data modeling concepts (dimensional modeling, Star/Snowflake schema).
  • Understanding of API protocols (REST/JSON) to support Agentic workflows.
  • Familiarity with Git and version control workflows.
  • Exposure to or willingness to learn Apache Airflow, Snowflake, and cloud data platforms.
  • Strong attention to detail and a quality-first mindset.
  • Curiosity and eagerness to learn — you don't need to know everything, but you should want to figure it out.
  • Good communication skills and a collaborative, team-first attitude.
  • Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in t

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