Z
New
2 weeks ago
Job Summary
As a Data Engineer II, you’ll work closely with Product Managers, Finance and Business Analysts, Data Scientists, and Software Engineers as you help define our data development roadmap. Eager to jump into a pivotal role that's essential in enabling data-informed decisions? It’s time to apply!
- Minimum Qualification: Degree
- Experience Level: Mid level
- Experience Length: 4 years
Job Description/Requirements
What You’ll Do:Â
- Build processes that support data hygiene, ETL processes, database schemas, dependency and metadata
- Analyze, design, implement and test medium to complex mappings independently
- Develop and improve the continuous integration and testing processes
- Develop and promote architectural best practices, standards and perform code reviews, recommend solutions.
- Perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
- Ensure data privacy and compliance (GDPR), as well as maintaining data dictionaries for governance purposes
- Mentor junior engineers and promote good engineering practices.
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What does it take to do this job?   Â
- 4+ years of experience delivering data pipelines and managing resulting data stores (experience with Snowflake Data Warehouse, Redshift a plus)
- Experience using managed cloud services (AWS preferred)
- Experience using a wide range of data and orchestration technologies (Postgres, Redshift,
- Athena, Hive, Kafka, Kinesis, Airflow, Talend, Matillion..)
- Proficiency in Python
- Well-developed analytical & problem-solving skills
- Strong understanding of SQL and query optimization.
- Experience identifying and resolving performance and data quality issues
- Experience working in agile/scrum development environments
- Strong oral and written communication skills
- Bachelor’s or master's in engineering, computer science, or related field preferred.
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