Data Engineer - DataOps (Position located in Bengaluru, India)

Please submit your resume in English.

Data Engineers work closely with business stakeholders to understand their goals and identify data-driven strategies to achieve those goals. They design data modeling processes, create algorithms and predictive models to extract the insight the business needs and help analyze the data to increase the productivity and efficiency of the business.

Responsibilities:

Expertise working experience with programming  languages like Python, and SQL

Solid understanding of data pipeline, data platform, data lake, data warehousing and analytics

Research, design, and implement data modeling to solve complex problems

Understand business requirements and translate into data pipelines and build data model transformations for reporting and analytics

Snowflake & Automation

Administer Snowflake environments, including virtual warehouses and robust security protocols (e.g., RBAC, data masking).

Provision and manage access to Snowflake’s advanced AI/ML capabilities.

Automate platform infrastructure and user access using Infrastructure as Code (IaC) tools.

Business Intelligence (Looker & Tableau)

Manage daily administration, user permissions, and scheduling for Looker and Tableau.

Oversee LookML projects to maintain efficient code and high query performance.

Configure and maintain secure connections (SSO/OAuth) between BI platforms and Snowflake.

Optimization & Strategy

Troubleshoot and optimize SQL queries to improve overall performance.

Monitor and optimize compute costs (FinOps) across data and BI platforms.

Skills:

BS or equivalent plus 3 years experience

MS/Ph.D. or equivalent; no experience required

1–3 years of hands-on experience administering Snowflake and enterprise BI platforms.

Nice-to-have: Relevant industry certifications (e.g., SnowPro Core, Looker, or Tableau administration/development).