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 frameworkref : hirist.tech)
