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Job Type

Full Time

Job Description

Industry: Information Technology Services – Cloud Data Engineering & Analytics.

We empower enterprises across finance, retail, and healthcare to unlock actionable insights by modernizing their data estates on cloud-native platforms. Our on-site engineering team in India designs, builds, and optimizes high-throughput data pipelines, delivering real-time analytics and governed self-service reporting at scale.Role & Responsibilities
  • Design and implement highly performant Snowflake data warehouses, including database objects, schema design, and access controls.
  • Develop end-to-end ELT pipelines using Snowflake Snowpipe, Streams, Tasks, and Python/SQL scripts to ingest structured and semi-structured data.
  • Optimize query performance through clustering, caching, micro-partitioning, and metadata management, ensuring sub-second analytics response times.
  • Integrate Snowflake with AWS, Azure, and on-prem sources via S3, Kafka, API, and third-party ETL tools such as Matillion or Fivetran.
  • Automate code deployment, testing, and monitoring with Git, CI/CD, and Infrastructure-as-Code frameworks (Terraform/CloudFormation).
  • Collaborate with data architects, analysts, and business stakeholders to translate requirements into secure, reusable data models and marts.

Skills & Qualifications

Must-Have

  • 3+ years hands-on Snowflake engineering with deep SQL proficiency.
  • Expertise in designing dimensional and data-vault models and implementing ELT pipelines.
  • Solid understanding of AWS or Azure cloud storage, IAM, and networking concepts.
  • Proficiency in Python or Scala for data transformation and automation.
  • Experience tuning warehouses, resource monitors, and access rules for cost governance.

Preferred

  • Familiarity with dbt, Airflow, or similar orchestration frameworks.
  • Knowledge of data-mesh and data-governance best practices.
  • Exposure to CI/CD pipelines with Docker and Kubernetes.
Benefits & Culture
  • Competitive salary with performance bonuses and on-going Snowflake certification sponsorship.
  • On-site collaborative workspace fostering continuous learning and weekly tech talks.
  • Robust health insurance and flexible leave policy to support work-life balance.
Skills: sql,snowpipe,performance tuning,terraform,streams,cloudformation,kubernetes,tasks,snowflake data engineer,aws,snowflake,dbt,python,data modeling,azure,docker,airflow

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