Lead Data Engineer - Managed Services
Job details
We are looking for experienced people who monitor, automate, and improve software systems' reliability, performance, and availability in an organization. You will work directly with customers to understand their needs and collaborate with internal and customer teams to prevent incidents, manage infrastructure, build effective monitoring systems, and ensure the smooth operation of computer systems. We expect our Leads to mentor and coach other associates and stay current on the ever-changing technical landscape. A Hakkoda Managed Services Data Engineer Lead is passionate about creating innovative data and analytic solutions for our customers and team. As a Lead, you will measure and optimize system performance to push our capabilities forward, get ahead of customer needs, and innovate for continual improvement. We value open communication and collaboration. We strive to create a positive and fun team-based work environment. We expect associates to challenge themselves and those around them to create high-quality analytical products and services. Qualifications
- Bachelor’s degree in Data Analytics, Computer Science, Management Information Systems, Mathematics, or a similar analytical field
- 4+ years in related technical roles, 1+ in management or team leadership
- Experience hiring, developing, and managing a technical team
- Provide primary operational support and engineering for multiple large-scale distributed software applications
- Experience designing and developing data warehouses (Teradata, Oracle Exadata, Netezza, SQL Server, Spark)
- Experience building ETL / ELT ingestion pipelines with tools like DataStage, Informatica, Matillion
- Advanced knowledge of SQL and tuning SQL, including analysis of query plans
- Working knowledge of data visualization tools
- Experience with business intelligence/data analytics
- Cloud experience on Snowflake or AWS (Azure, and GCP are nice to have as well)
- Experience and expertise in Python and familiarity with the application of modern data science language is a plus
- A proactive approach to identifying problems, performance bottlenecks, and areas for improvement
- Run the production environment by monitoring availability and taking a holistic view of system health
- Management skills (people and agile projects)
- Advanced English
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