This is a remote position.
- Design, build, and maintain data pipelines and infrastructure using SQL and Python
- Work within Snowflake to build and optimize data models supporting business use cases
- Parse and process structured and semi-structured data (JSON, XML) from varied sources
- Diagnose issues across raw, intermediate, and summary tables
- Build SQL queries to support repeatable analytics use cases based on stakeholder requirements
- Investigate and resolve data quality issues, including time-sensitive or urgent ones
- Identify opportunities to consolidate models and maintain a single source of truth (SSOT)
Requirements
- 2+ years of experience with SQL and relational databases, with the ability to understand complex data relationships and transformations (required)
- 2+ years of experience with Python for data engineering tasks (required)
- Experience with Snowflake or an equivalent cloud data warehouse (required)
- Experience parsing JSON and XML data (a plus)
- A strong eye for data quality and attention to detail
- Knowledge of Git (required)
- Knowledge of Azure cloud services such as Azure Data Factory, Azure Blob Storage, and Azure SQL Database (required)
- Knowledge of data infrastructure/modeling tools like DBT, Fivetran (a plus)
- Experience with BI tools like Power BI(a plus, not core to this role)
- Knowledge of Docker, Linux, Shell/Bash, and virtualization technologies (a plus)
- Knowledge of SSIS packages (a plus)
- Familiarity with CI/CD methodologies
Benefits
- Dedicated learning & development budget.
- Sponsorship for conference talks.
- Comprehensive medical & term insurance.
- Employee-friendly leave policies.
- Home Office fund
- Medical Insurance
Skills Required
- 2+ years of experience with SQL and relational databases, including complex data relationships and transformations
- 2+ years of experience with Python for data engineering tasks
- Experience with Snowflake or an equivalent cloud data warehouse
- Knowledge of Git
- Knowledge of Azure cloud services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database
- Experience parsing JSON and XML data
- Strong attention to data quality and detail
- Knowledge of data infrastructure and modeling tools such as DBT and Fivetran
- Experience with BI tools such as Power BI
- Knowledge of Docker, Linux, Shell/Bash, and virtualization technologies
- Knowledge of SSIS packages
- Familiarity with CI/CD methodologies
What We Do
We incubate high-quality, dedicated software engineering teams for our clients, where we design software, design the team a well as the organization strategy required to successfully release products that are relevant today as well as tomorrow. Got a working product already? - Scale-up and reach new milestones - Modernize your software - Bring stability and predictability into how your product behaves Got a product idea? - Hire your engineering team - Go to market quickly - Iterate rapidly Got too many manual processes? - Develop solutions to optimize processes - Enable non-linear scale - Measure and monitor outcomes We are your engineering team. We’ll build what you need. And we’ll help you do it the right way. *How we work* We are software crafters. We are proud of the way we work and the code we write. We embrace and are evangelists of eXtreme Programming practices. We heavily believe in being a DevOps organization, where developers own the entire release cycle and thus own quality. And most importantly, we never stop learning! Founded by product professionals, our goal is to bring a product mindset into services. We strive to find people who are passionate about coding, learning and growing along with us. Join our team! We’re looking for full stack developers, automation QA engineers, data engineers, business analysts and salesforce expertise
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