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You will be updated with latest job alerts via emailResponsibilities:
Lead the design development and maintenance of data models optimized for reporting and analysis.
Ensure data quality integrity and consistency throughout the data warehousing process to enable reliable and timely ingestion of data from the source system.
Troubleshoot and resolve issues related to data pipelines and data integrity.
Work closely with business analysts and other stakeholders to understand their data needs and provide solutions.
Communicate technical concepts to nontechnical audiences effectively.
Ensure the data warehouse is scalable to accommodate growing data volumes and user demands.
Ensure adherence to data governance and privacy policies and procedures.
Implement and monitor data quality metrics and processes.
Lead and mentor a team of data warehouse developers providing technical guidance and support.
Stay uptodate with the latest trends and technologies in data warehousing and business intelligence.
Foster a collaborative and highperforming team environment.
Qualifications:
Bachelors or Masters degree in Computer Science Information Technology or a related field.
9 years of progressive experience in data warehousing with at least 3 years in a lead or senior role.
Deep understanding of data warehousing concepts principles and methodologies
Strong proficiency in SQL and experience with various database platforms (e.g. BigQuery Redshift Snowflake).
Good understanding on Affiliate Marketing Data (GA4 Paid marketing channels like Google Ads Facebook Ads etc the more the better)
Handson experience with dbt and other ETL/ELT tools and technologies.
Experience with data modeling techniques (e.g. dimensional modeling star schema snowflake schema).
Experience with cloudbased data warehousing solutions (e.g. AWS Azure GCP) GCP is highly preferred.
Excellent problemsolving analytical and troubleshooting skills.
Strong communication presentation and interpersonal skills.
Ability to thrive in a fastpaced and dynamic environment.
Familiarity with business intelligence and reporting tools (e.g. Tableau Power BI Looker).
Experience with data governance and data quality frameworks is a plus.
Perks:
Day off on the 3rd Friday of every month (one long weekend each month)
Monthly Wellness Reimbursement Program to promote health wellbeing
Monthly Office Commutation Reimbursement Program
Paid paternity and maternity leaves
Remote Work :
Yes
Employment Type :
Fulltime
Remote