Senior Data Analytics Engineer
June 3
Description
• As a Senior ETL Operations and Data Analytics Engineer, you will play a crucial role in our data-driven decision-making process. • You will be responsible for designing, implementing, and maintaining ETL processes, ensuring data accuracy, and providing valuable insights to drive business growth.
Requirements
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. • Minimum of 10 years of experience in ETL operations, Systems Operations, and Data Analytics. • Expert knowledge of SQL, git, various data formats (JSON, YAML, csv), and MS Excel. • Expert Python and Bash skills including OO techniques. • Proficiency in Ruby, Go, and other languages is a plus. • Familiarity with Argo CD/Workflow, Kubernetes (K8s), containers, GitHub ac0ons, Linux, and AWS. • Strong problem-solving skills and attention to detail. • Excellent communication and collaboration skills. • Strong proficiency in SQL and experience with MySQL or similar relational databases. • Solid understanding of data modeling concepts and techniques. • Experience with Jaspersob or similar reporting tools is preferred.
Benefits
• Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k, IRA) • Life Insurance (Basic, Voluntary & AD&D) • Paid Time Off (Vacation, Sick & Public Holidays) • Short Term & Long Term Disability • Training & Development • Work From Home
Apply NowSimilar Jobs
March 20
Senior Analytics Engineer at PandaDoc optimizing data systems with Snowflake and dbt.
🇺🇸 United States – Remote
💵 $125k - $150k / year
💰 Series C on 2021-09
⏰ Full Time
🟠 Senior
📊 Analytics Engineer
🦅 H1B Visa Sponsor