Senior Data Engineer

python, scala, java, airflow, tableau, Qlik, sisense, Looker, Docker, Kubernetes
Full Time
Depends on Experience
Work from home not available Travel not required

Job Description

Empower is partnering with a retail technology organization based in San Mateo to attract and hire a senior-level software engineer to lead the charge on a team of like-minded individuals responsible for developing the data architecture that powers our data collection process and analytics platform. If you have a passion for optimization, scaling, and integration challenges, this may be the role for you.


What You Will Do:
Think like our customers – you will work with product and engineering leaders to define data solutions that support customers’ business practices.
Design/develop/extend our data pipeline services and architecture to implement your solutions – you will be collaborating on some of the most important and complex parts of our system that form the foundation for the business value our organization provides
Improve the quality of our solutions – help to build enduring trust within our organization and amongst our customers by ensuring high-quality standards of the data we manage
Own your work – you will take responsibility to shepherd your projects from idea through delivery into production
Bring new ideas to the table – some of our best innovations originate within the team

Technologies We Use:
SQL, Python
AWS, Docker, Kubernetes, Apache Airflow
Snowflake, Redshift, MongoDB, Postgres, MySQL, ElasticSearch
Sisense (as a business intelligence solution) is a plus, Tableau, Qlik or Looker are transferable tools/skills if a candidate does not have sisense.


Must-Haves:
Bachelors/Master’s degree in Computer Science or relevant technical degree
8+ years of professional software engineering experience
Strong proficiency with data languages such as Python and SQL
Strong proficiency working of RDMS/NoSQL/Big Data solutions (Postgres, MongoDB, Snowflake, etc.)
Solid of ETL/ELT and OLTP/OLAP concepts
Solid understanding of Transactional/Data Warehouse data modeling
Proven ability to transform raw unstructured/semi-structured data into structured data in accordance with business requirements
Solid understanding of AWS, Linux and infrastructure concepts
Proven ability to diagnose and address data abnormalities in systems
Proven ability to learn quickly, make pragmatic decisions, and adapt to changing business needs
Focus on results: shipping software that matters to the company and the customer

Bonus Points:
Passion for data, analytics, or machine learning.
Experience building data warehouses using conformed dimensional modelsExperience working with business intelligence solutions such as Sisense, Tableau, etc.
Experience working within a retail or e-commerce environment.

Dice Id : 91094328
Position Id : 5864119
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