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2 Days ago

Data Engineer - Snowflake DB

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Bangalore, Karnataka, India
Human Rights & Ethics in Tech
Full-Time
HYRGPT

Overview

Job : Snowflake Data Engineer

Experience : 3 -5 YRs

Location : Hyderabad, Bangalore, Mumbai, Gurgaon, Pune, Chennai, Kolkata

Employment Type : Full-Time

Job Summary

We are seeking a skilled Snowflake Data Engineer with 3- 5 years of hands-on experience in designing, developing, and optimizing cloud-based data warehousing solutions. This position offers a compelling opportunity to work on a flagship data initiative for one of our premier Big 4 consulting clients, providing ample scope for technical innovation, learning, and career growth.

Key Responsibilities

Design & Develop High-Performance Data Pipelines :

  • Build scalable and efficient Snowflake pipelines for data ingestion, transformation, and storage.
  • Special focus on external tables, semi-structured data handling, and transformation logic.

Optimize Snowflake Workloads

  • Ensure optimal query execution and cost-effective utilization of compute and storage resources.
  • Tune performance across large-scale datasets and implement workload management strategies.

ETL/ELT Development

  • Develop robust ETL processes using SQL, Python, and orchestration tools like DBT, Apache Airflow, Matillion, or Talend.
  • Focus on automation, data transformation, and pipeline reliability.

Integrate With AWS Glue

  • Utilize AWS Glue capabilities such as crawlers, jobs, and external tables for seamless integration with Snowflake.
  • Ensure consistent and automated data ingestion and cataloging.

Data Governance & Security

  • Enforce data governance, role-based access control, and compliance protocols within Snowflake.
  • Ensure secure handling of sensitive data and privacy adherence.

Handle Diverse Data Formats

  • Ingest and transform structured and semi-structured formats like JSON, Parquet, Avro, XML, etc.
  • Enable flexibility in data consumption across reporting and analytics.

Data Modeling

  • Design dimensional models including fact and dimension tables optimized for Snowflake architecture.
  • Enable efficient querying and integration with BI tools.

Cross-Functional Collaboration

  • Partner with business stakeholders, data analysts, and BI developers to align technical solutions with business needs.
  • Translate business requirements into scalable data solutions.

Pipeline Monitoring & Issue Resolution

  • Monitor end-to-end data workflows and ensure system reliability.
  • Troubleshoot failures and performance bottlenecks proactively.

Key Skills & Qualifications

  • Hands-on experience with Snowflake development and architecture.
  • Proficiency in SQL, Python, and cloud-native ETL/ELT tools.
  • Experience with AWS Glue, S3, and Snowflake integration.
  • Strong knowledge of data modeling, performance tuning, and cost optimization.
  • Familiarity with handling semi-structured data.
  • Good understanding of data governance, access control, and security best practices.
  • Excellent problem-solving and communication skills.

Nice To Have

  • Experience working with Big 4 consulting clients or large enterprise environments.
  • Exposure to DevOps practices, CI/CD pipelines, and data quality framework

(ref:hirist.tech)
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