Company Description
We are seeking an experienced and visionary Lead Data Engineer to join our Stellar team!
As the Lead Data Engineer, you will be a key player in designing and implementing the robust data infrastructure to power our data-heavy company. You will collaborate with cross-functional teams to build core data pipelines, store data in optimal engines and formats, and feed our machine-learning models.
This is an individual contributor role with the potential to lead. You will work closely with our VP of Technology to define and implement a strategic vision for data engineering within the organization.
Your expertise in Spark and Scala will be critical for success.
CUSTOMER
Our client is a CTV advertising platform purpose-built for performance marketers.
They leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes.
PROJECT
The solution combines media buying, optimization, measurement, and attribution in one, efficient platform.
The platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
Job Description
- Design and implement robust data infrastructure using Spark with Scala
- Collaborate with our cross-functional teams to design data solutions that meet business needs
- Build out our core data pipelines, store data in optimal engines and formats, and feed our machine-learning models
- Leverage and optimize AWS resources
- Collaborate closely with the Data Science team
Qualifications
- Design and implement robust data infrastructure using Spark with Scala
- Collaborate with our cross-functional teams to design data solutions that meet business needs
- Build out our core data pipelines, store data in optimal engines and formats, and feed our machine-learning models
- Leverage and optimize AWS resources
- Collaborate closely with the Data Science team
- Design and implement robust data infrastructure using Spark with Scala
- Collaborate with our cross-functional teams to design data solutions that meet business needs
- Build out our core data pipelines, store data in optimal engines and formats, and feed our machine-learning models
- Leverage and optimize AWS resources
- Collaborate closely with the Data Science team
Top Skills
What We Do
Sigma Software Group, an award-winning and trusted IT partner, has been serving customers for over 21 years, providing comprehensive IT solutions to various businesses, ranging from startups to established software product houses. As one of Europe's substantial IT consultancies, it brings together a dedicated workforce of over 2,100 professionals in 40 offices across 19 countries. With a diverse client base, including more than 300 enterprises, including Fortune 500 stalwarts, Sigma Software Group is a preferred choice for developing solutions that help businesses create cutting-edge products while meeting their unique needs.
Sigma Software Group operates as a dynamic ecosystem of tech companies, offering 25 ready-to-implement innovative products and 40+ value-added services. Furthermore, Sigma Software Group is committed to fostering innovation through initiatives such as the Sigma Software Labs business incubator, Sigma Software University, the SID Venture Partners VC Fund, UA Tech Network, Techosystem, the European Business Association, and other collaborative efforts.
Since 2015, Sigma Software Group has consistently earned recognition on the IAOP's prestigious World's Top 100 Outsourcing list. The company's accomplishments have also been acknowledged by prominent global media outlets such as Forbes, CNBC, The Times, and Reuters
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