April 11, 2024

Hakkoda

Heredia

OTHER

Lead Data Engineer

About Hakkōda

Hakkōda 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:

We are looking for motivated people who are experienced with building data warehouses and analytics systems in the cloud (AWS, Azure, GCP, Snowflake).

What we are looking for:

We are looking for a Lead Data Engineer to join our growing team of experts. This position will work in the design and development of Snowflake Data Cloud solutions. The work includes data ingestion pipelines, data architecture, data governance and security. The ideal candidate is an experienced data pipeline builder and migrations who enjoys optimizing data systems and building them from the ground up.

The Lead Data Engineer will develop database architectures, data warehouses and will ensure optimal data delivery architecture is consistent throughout ongoing customer projects. On this role you will be leading technical teams. The right candidate will be excited by the prospect of working for a start-up company to support our customers' next generation of data initiatives.

Qualifications:

Bachelor’s degree in engineering, computer science or equivalent area.
Expertise in evaluating, selecting, and integrating ingestion technologies to solve complex data challenges.
Leadership in architectural decisions for high-throughput data ingestion frameworks, including real-time data processing and analytics.
Mentorship of junior engineers in best practices for data ingestion, performance tuning, and troubleshooting.

- 5+yrs in related technical roles, data management, database development, ETL,Data - - Warehouses and pipelines.

Experience designing and developing data warehouses (Teradata, Oracle Exadata, Netezza, SQL Server, Spark)
Experience building ETL / ELT ingestion pipelines with tools like Data Stage, Informatica, Matillion
SQL scripting
Cloud experience on AWS (Azure, GCP are nice to have as well)
Python Scripting, Scala is require.
Ability to prepare reports and present to internal and customer stakeholders
Track record of sound problem solving skills and action oriented mindset
Strong interpersonal skills including assertiveness and ability to build strong client relationships
Ability to work in Agile teams
Experience hiring, developing and managing a technical team
Advanced English