Snowflake Data Engineer
3 weeks ago
At Tredence Inc., we are seeking a highly skilled Snowflake Data Engineer to join our team. As a Snowflake Data Engineer, you will be responsible for designing, implementing, and maintaining complex data pipelines on the Snowflake cloud data warehouse platform.
Key Responsibilities:
- Collaborate with DW/BI leads to understand new ETL pipeline development requirements and design efficient data pipelines.
- Triage issues to identify gaps in existing pipelines and implement fixes to ensure data accuracy and integrity.
- Work with business stakeholders to understand reporting needs and develop data models to fulfill those needs.
- Provide technical guidance and support to junior team members to resolve issues and technical challenges.
- Drive technical discussions with client architects and team members to ensure alignment on data pipeline design and implementation.
- Orchestrate data pipelines in scheduler (UC4 and Airflow) to ensure seamless data processing.
Requirements:
- Bachelor's and/or master's degree in computer science or equivalent experience.
- Minimum 5+ years of IT experience and 3+ years of experience in Data warehouse/ETL projects.
- Experience in at least one end-to-end implementation of Snowflake cloud data warehouse and two end-to-end data warehouse implementations on-premise.
- Expertise in Snowflake data modeling, ELT using SQL, implementing stored procedures, and standard DWH and ETL concepts.
- Hands-on experience with Snowflake utilities, SnowSQL, and SnowPipe.
- Experience in data migration from RDBMS to Snowflake cloud data warehouse.
- Deep understanding of Star and Snowflake dimensional modeling.
- Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, and troubleshooting.
- Certified in Snowflake (SnowPro Core) (desirable).
- Comfortable working in a dynamic, fast-paced, innovative environment with multiple ongoing concurrent projects.
- Experience working in Agile methodology.
- Strong verbal and written communication skills.
- Strong analytical and problem-solving skills with a high attention to detail.
- Self-motivated, collaborative, innovative, eager to learn, and hands-on.
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