Senior/Lead Analytics Engineer.

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Requirements:

• 6+ years of extensive development experience using Snowflake or similar data warehouse technology.
• Experience with dbt and modern data stack technologies such as Airflow, Fivetran, AWS.
• Expertise in writing advanced SQL statements and performance tuning.
• Experience with data ingestion techniques using custom or SaaS tools.
• Knowledge in data modeling and optimizing data models.
• Experience in data mining, warehouse solutions, and ETL with complex datasets.
• Experience in architecting analytical databases.
• Strong technical documentation and communication skills.
• Basic understanding of AWS systems is preferred.
• Experience with Python and data governance or quality tools is a plus.

Responsibilities:

• Developing end to end ETL/ELT Pipeline working with Data Analysts of business Function.
• Designing, developing, and implementing scalable, automated processes for data extraction and processing.
• Mentoring junior engineers.
• Providing troubleshooting and diagnosis for architecture and design challenges.
• Improving data pipeline delivery.
• Translating business requirements into technical specifications.
• Owning the delivery of data models and reports end to end.
• Performing exploratory data analysis to ensure data quality.
• Working with Data Analysts to optimize available data feeds.
• Documenting data sources and processes.