Managed Services
hace 6 horas
**ABOUT HAKKODA**
Hakkoda is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud.
We provide consulting and managed services in data architecture, data engineering, analytics and data science.
We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work
We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone's input and efforts are valued.
We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work.
Our team is distributed across North America, Latin America, and Europe.
If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you.
**Role Description**
You will be part of the Managed Services team, focused on helping our clients optimize and improve their use of data and other providing snowflake administration services such as break-fix management, monitoring, enhancements backlog, and troubleshooting, among others.
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.
**What we are looking for**:
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.
**Qualifications**:
- Bachelor's degree in Data Analytics, Computer Science, Management Information Systems, Mathematics, or a similar analytical field
- 4+yrs in related technical roles, 1+ in management or team leadership
- Experience hiring, developing, and managing a technical team
- 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)
- 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
Hakkoda is an exciting, high growth company, and we're scaling our team.
We are looking for exceptional people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Hakkoda.
We are a collaborative team of high achievers.
We love to explore, challenge and have a lot of fun along the way.
Are you ready for the adventure?
Click here to see our culture on display.
Benefits will vary by country:
- Medical, Dental, Vision
- Life Insurance
- Paid parental leave
- Paid time off
- Work from home benefits for 100% remote roles
- Technical training and certifications
- Robust learning and development opportunities
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