Primary Skills
- DataStream, ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Time Travel and Fail Safe, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures
Specialization
- Snowflake Engineering: Lead Data Engineer
Job requirements
- Role Overview:
- We are looking for an experienced Snowflake Developer to design, develop, and optimize data solutions using Snowflake. The ideal candidate will have strong expertise in
- Snowflake SQL and experience in building scalable data pipelines and integrations across cloud platforms.
- Key Responsibilities:
- • Design and implement data models, ETL/ELT processes, and data pipelines using Snowflake.
- • Develop and optimize Snowflake SQL queries for data transformation and analytics.
- • Collaborate with data engineers, analysts, and business teams to deliver highquality data solutions.
- • Ensure data security, governance, and compliance across all processes.
- • Troubleshoot and optimize performance for Snowflake workloads.
- Primary Skills (Must-Have):
- • Snowflake (including data warehousing concepts and performance tuning)
- • Snowflake SQL for data manipulation and analytics
- Good-to-Have Skills:
- • Azure Services: ADF, Synapse, Purview, Fabric
- • AWS Services: Glue, Lambda, Step Functions
- • Workflow Orchestration: Airflow
- Qualifications:
- • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- • Proven experience in Snowflake development and data engineering.
- • Strong problem-solving and analytical skills.
- • Excellent communication and collaboration abilities.
- Promoting Women professionals
