▷ Apply in 3 Minutes Data Engineer

1 week ago

Chennai India HYRGPT Full time

Job Description 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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