What are the responsibilities and job description for the Senior Data Engineer position at Blink Health?
Senior Data Engineer sought by Blink Health Group, LLC. in New York, NY (Remote work available).
Duties:
- Design and build the next generation of data tools and frameworks.
- Develop and maintain data products and infrastructure.
- Assess production DW support trends to determine and implement short- and long-term solutions.
- Perform peer code and architecture reviews. Design for data integrity, reliability, and performance.
- Set a high bar for clean and correct code, setting code standards.
This position requires a Bachelor's degree in Engineering, Computer Science, Information Systems, or related field (or its equivalent), plus 10 years of professional experience as a Data Engineer or related Engineering occupation.
10 years of experience in each of the following is also required:
- Python software development;
- Hands-on experience streaming and building solutions for real-time applications;
- Building and maintaining robust and scalable data integration (ETL) pipelines using SQL, EMR, Python, and Spark;
- Writing complex, highly optimized SQL queries across large data sets;
- Designing and maintaining columnar databases using at least one of the following: Redshift or Snowflake;
- Distributed data processing using at least one of the following: Hadoop, Spark, or Hive;
- Utilizing ETL with batch (AWS Data Pipeline or Airflow) and streaming (Kinesis or Kafka);
- Integration and design for Business Intelligence tools such as Looker or QuickSight;
- Creating scalable data models for analytics;
- Designing and building data lakes, with continuous improvement examples for automation and simplification across all aspects of the DW environment.
Telecommuting (remote work) is permitted.
40 hours/week, $163,758 - $203,500 per year.
Must also have authority to work permanently in the U.S.
Applicants who are interested in this position may apply https://www.jobpostingtoday.com/ Ref # 21212.
Salary : $163,758 - $203,500
