Posted:22 hours ago|
Platform:
Work from Office
Full Time
Key Responsibilities:
Design and implement scalable Snowflake data warehouse solutions for structured and semi-structured data.Develop ETL/ELT pipelines using Informatica IICS, dbt, Matillion, Talend, Airflow, or equivalent tools.Optimize query performance and implement best practices for cost and efficiency.Work with cloud platforms (AWS, Azure, GCP) for data integration and storage.Implement role-based access control (RBAC), security policies, and encryption within Snowflake.Perform data modeling (Star Schema, Snowflake Schema, Data Vault) and warehouse design.Collaborate with data engineers, analysts, and business teams to ensure data consistency and availability.Automate Snowflake object creation, pipeline scheduling, and monitoring.Migrate existing on-premise databases (Oracle, SQL Server, Teradata, Redshift, etc.) to Snowflake.Implement data governance, quality checks, and observability frameworks.
Required Skills & Qualifications:
6+ years of experience in data engineering / warehousing with at least 2+ years in Snowflake.Strong expertise in Snowflake features such as Virtual Warehouses, Streams, Tasks, Time Travel, and Cloning.Experience in SQL performance tuning, query optimization, and stored procedures (JavaScript UDFs/ UDAFs).Hands-on experience with ETL/ELT tools like Informatica, dbt, Matillion, Talend, Airflow, or AWS Glue.Experience with Python, PySpark, or Scala for data processing.Knowledge of CI/CD pipelines, Git, Terraform, or Infrastructure as Code (IaC).Experience with semi-structured data (JSON, Parquet, Avro) and handling ingestion from APIs.Strong understanding of cloud platforms (AWS S3, Azure Data Lake, GCP BigQuery) and data lake architectures.Familiarity with BI/Analytics tools like Tableau, Power BI, Looker, or ThoughtSpot.Strong problem-solving skills and experience working in Agile/Scrum environments.
Hanker Systems (india)
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