Senior Data Solutions Developer
Role details
Job location
Tech stack
Job description
As Senior Data Solutions Developer you will help lead the evolution of our data-driven decision-making at scale across the company. This role will be responsible for building, maintaining and supporting data warehousing solutions with an emphasis on creating automated and/or algorithmic approaches that reduce or replace manual effort. You will be instrumental in ensuring access to clean, consistent and logical data to stakeholders in a wide variety of roles., * Build and maintain scalable scheduled jobs to extract, load and transform data, in addition to troubleshooting and fixing problems with existing data warehouse ELT jobs
- Collaborate closely with internal business stakeholders to gather requirements, coordinate deployments, and meet deadlines
- Develop an understanding of business systems and processes in one or more areas of the business such as Sales, Marketing, Customer Success and finance
- Build and maintain Entity Relationship Diagrams (ERD)
- Transform raw data into highly structured and consistent data sets used by analysts tools to power business insights
- Develop scalable, efficient, and automated processes and data pipelines, in addition to diagnosing and debugging problems with existing structures
- Make recommendations to improve technical systems and infrastructure, Final compensation will be determined based on factors such as relevant experience, skills, qualifications and geographic location. We also consider internal equity to help ensure fair and consistent pay practices across our teams.
Where applicable, this role may also be eligible for variable compensation (such as bonus or commission), equity, and benefits in accordance with local policies. Details will be shared during the hiring process. We are committed to equitable and transparent pay practices that align to market data, internal equity, and individual contribution.
Inclusion and Belonging
At Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.
We are committed to creating an inclusive and accessible hiring experience for all candidates. If you require accommodations or adjustments at any stage of the recruitment process, please let us know and we will work with you to meet your needs.
Learn more about the Commerce team, culture and benefits at https://www.commerce.com/careers/
Protect Yourself Against Hiring Scams: Our Corporate Disclaimer
Commerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers.
Be advised: Commerce does not offer jobs to individuals who do not go through our formal hiring process.
Commerce will never:
- require payment of recruitment fees from candidates;
- request personally identifiable information through unsanctioned websites or applications;
- attempt to solicit money from you as part of the hiring process or as part of an employment offer;
- solicit money to complete visa requirements as part of a job offer.
If you receive unsolicited offers of employment from Commerce, we urge you to be extremely cautious and avoid engaging or responding.
Requirements
Do you have experience in Time management?, Do you have a Bachelor's degree?, * 3-5 years experience in data warehousing, data modeling, and/or analytics preferred
- Advanced SQL skills in both DML and DDL are required
- Experience with database platforms like Snowflake, Redshift, BigQuery or similar
- Intermediate Python skills plus scripting in 1 or 2 other languages (BASH/Python/JavaScript/etc)
- Experience developing and maintaining ETL\ELT processes and common data transformation techniques (e.g. normalization and denormalization, string parsing, primary key generation)
- Experience with Airflow is a plus
- Familiarity with dimensional data modeling techniques (snowflake and star schemas, fact tables, slowly changing dimensions, periodic snapshot tables, surrogate keys, etc.)
- Exposure to Amazon Web Services or Linux command
- Possess at least a Bachelor's degree in a quantitative field (economics, statistics, business, computer science) or equivalent experience, advanced degree a plus
- You are motivated by adding business value and driving revenue for the company
- Quantitative mindset and passion for data
- You are a curious problem solver with a growth mindset
- You enjoy interacting and collaborating with technical developers and analysts as well as non-technical business staff throughout the organization
- Able to deal with ambiguity and problem-solve independently
- Self-starter: able to succeed and have an impact with minimal direction
- Ambitious, self-motivated, and goal-oriented
- Excellent time management skills
- Strong communication skills, both verbal and written