Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management.
At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation.
What You Will Do and Learn
As a Data Engineer in Data Solutions, you’ll be responsible for designing, implementing, and testing proposed modern analytic solutions. Working closely with our client partners and architects, you’ll develop relationships with key technical resources while delivering tangible business outcomes.
Qualifications:
- 5+ years’ experience developing industry leading business intelligence and analytic solutions
- Must have thorough knowledge of data warehouse concepts and dimensional modelling
- Must have experience in writing advanced SQL
- Must have at least 2+ years of hands-on experience on DBT (Data Build Tool). Mandatory to have most recent hands-on experience on DBT.
- Must have experience working with DBT on one or more of the modern databases like Snowflake / Amazon Redshift / BigQuery / Databricks / etc.
- Hands-on experience with Snowflake would carry higher weightage
- Snowflake SnowPro Core certification would carry higher weightage
- Experience working in AWS, Azure, GCP or similar cloud data platform would be an added advantage
- Hands-on experience on Azure would carry higher weightage
- Must have experience in setting up DBT projects
- Must have experience in understanding / creating / modifying & optimizing YML files within DBT
- Must have experience in implementing and managing data models using DBT, ensuring efficient and scalable data transformations
- Must have experience with various materialization techniques within DBT
- Must have experience in writing & executing DBT Test cases
- Must have experience in setting up DBT environments
- Must have experience in setting up DBT Jobs
- Must have experience with writing DBT Jinja and Macros
- Must have experience in creating DBT Snapshots
- Must have experience in creating & managing incremental models using DBT
- Must have experience with DBT Docs
- Should have a good understanding of DBT Seeds
- Must have experience with DBT Deployment
- Must Experience with architecting data pipelines using DBT, utilizing advanced DBT features
- Proficiency in version control systems and CI/CD
- Must have hands-on experience configuring DBT with one or more version control systems like Azure DevOps / Github / Gitlab / etc.
- Must have experience in PR approval workflow
- Participate in code reviews and best practices for SQL and DBT development
- Experience working with visualization tools such as Tableau, PowerBI, Looker and other similar analytic tools would be an added advantage
- 2+ years of Business Data Analyst experience
- 2+ years of experience writing Business requirements, Use cases and/or user stories, for data warehouse or data mart initiatives.
- Understanding and experience on ETL/ELT is an added advantage
- 2+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)
- 2+ years of years of experience with relational databases (Postgres, MySQL, SQL Server, Oracle, Teradata etc.)
- 2+ years of experience creating functional test cases and supporting user acceptan
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