Live opening · Posted 19 days ago
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Description supplied by the original job listing.
Responsibilities:
Design and develop modern data warehouse solutions using Snowflake and Azure Data Factory (ADF).
Build scalable and efficient ETL/ELT pipelines to support analytics and reporting needs.
Collaborate with DW/BI leads to understand requirements and develop new ETL pipelines.
Identify gaps in existing data pipelines, troubleshoot issues, and implement fixes.
Work closely with business stakeholders to understand reporting requirements and develop appropriate data models.
Implement dimensional modeling, including Star Schema and Snowflake Schema.
Drive technical discussions with client architects and internal teams.
Orchestrate and monitor data pipelines using Airflow.
Ensure data quality, performance optimization, and security best practices.
Mentor and support team members in resolving technical challenges.
Requirements:
Bachelor's or Master's degree in Computer Science or a related field.
Minimum 5+ years of IT experience with at least 4+ years in Data Warehouse/ETL projects.
Strong expertise in Snowflake architecture, security, Snowflake SQL, and object design.
Hands-on experience with Snowflake utilities, including SnowSQL, Snowpipe, Snowsight, and Snowflake connectors.
Deep understanding of dimensional modeling (Star Schema and Snowflake Schema).
Strong knowledge of Data Management principles and data engineering best practices.
Experience with Azure Data Factory (ADF) or equivalent orchestration tools.
Strong SQL and Spark (PySpark) programming skills.
Experience building and maintaining ETL/data transformation workflows.
Knowledge of the Databricks platform and Delta Lake architecture.
Experience with NoSQL databases such as MongoDB, Cassandra, or Neo4J.
Ability to work with structured and unstructured datasets, including imaging and geospatial data.
Experience working in DevOps environments using Terraform, CircleCI, and Git.
Strong RDBMS knowledge, including complex SQL, PL/SQL, Unix shell scripting, performance tuning, and query optimization.
Experience working in Agile methodologies.
Databricks Certified Data Engineer Associate/Professional certification.
Experience
7-11 yrs
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