Senior Data Engineer

9 years

0 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Growexx is seeking a

Senior Data Engineer

for one of its clients, with good hands-on working experience on Snowflake, SQL, Azure, Python, .NET, Angular, Cypress, etc.
Key Responsibilities
  • Designing, building, testing, and maintaining scalable data models using Snowflake.
  • Administering Snowflake environments, monitoring system health and performance.
  • Managing and optimizing Snowflake virtual warehouses for efficiency and cost-effectiveness.
  • Promoting self-service and decentralized data ownership across teams.
  • Enforcing data governance policies to ensure standardization, quality, and compliance.
  • Providing technical assistance and cross-training to team members.
  • Participating in design sessions and creating technical design documents and diagrams.
  • Conducting code reviews and offering constructive feedback.
  • Mentoring engineers to support team growth and development.
  • Collaborating with senior engineers in the Registry Architecture Review Board.
  • Ensuring delivery quality and supporting production services.
Education and Experience
  • 9+ years of experience as a Data Engineer, Software Developer, or Administrator focused on data modeling, governance, and platform administration.
  • Expertise in Snowflake or similar MPP databases.
  • Strong SQL skills.
  • Experience with multiple database technologies (MSSQL, PostgreSQL, OLAP, OLTP).
  • Familiarity with ETL/ELT tools and methodologies.
  • Experience with database health monitoring, stored procedures, and schema design.
  • Practical understanding of data governance principles.
  • Experience with cloud environments (SaaS, PaaS, IaaS).
  • Strong communication skills, both written and verbal.
  • Experience in technical design and documentation.
  • Proficiency with source control systems (Git, Gitflow).
  • Experience with Agentic AI (Claude, GPT, etc.).
  • Experience with test automation.
  • Familiarity with Generative AI and Spec-Driven Development.
  • Experience with Kafka, Azure Event Hubs, Azure Service Bus.
  • Knowledge of CI/CD practices.
  • Ability to work independently and within Agile teams.
  • Experience with Azure cloud services.
  • Exposure to Master Data Management (MDM).
  • Python skills for data transformation and pipeline automation.
  • Understanding of data mesh principles.
  • Strong prioritization and multitasking abilities.
Analytical and Personal Skills
  • Must have good logical reasoning and analytical skills.
  • Good Communication skills in English – both written and verbal.
  • Demonstrate Ownership and Accountability of their work.
  • Attention to detail

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