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Lead Data Engineer, Analytics
ASAPP
posted 5mon ago
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Key skills for the job
Job Description
- Lead and deliver projects working closely with engineers, business partners, product managers, and other stakeholders
- Engage with business and product teams to understand data requirements and translate those requirements into technical solutions
- Develop data pipelines to transform and integrate data from a variety of data sources
- Modify ETL/ELT processes to load data from various data sources into the data warehouse
- Design, build, and maintain the enterprise data warehouse
- Responsible for delivering team projects on time and in a highly accurate, reliable, and performant way
- Maintain high-quality documentation for our metrics and data feeds
- What youll need
- 8+ years of experience in software engineering
- 5+ years industry experience as a data engineer with demonstrated expertise in building data warehouses and data lakes
- Extensive hands-on experience in designing dimensional data models, data profiling, ETL/ELT processes, and BI development
- Experience working with large-scale cloud data warehouse solutions such as Amazon Redshift, Google BigQuery, or Snowflake
- Experience with programming languages such as Python, Scala, Java, or Go
- Proficiency in using query languages like SQL, Hive or SparkSQL
- Familiarity with reporting tools like Sisense, Power BI, Looker, Tableau etc is a plus
- Experience with AWS public cloud is a plus
- Familiarity with ETL tools like AWS Glue, Informatica, Talend etc. is a plus
- Ability to work independently with minimal supervision and unclear requirements
- What wed like to see
- B.S. or M.S. in computer science, data science, software engineering, information technology, applied mathematics, or statistics
- Previous experience in data engineering, data architecture, or ETL development
- Ability to embrace and quickly ramp up on new technologies and programming languages
Employment Type: Full Time, Permanent
Functional Areas: Analytics & Business Intelligence
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