remote DBT Data Engineer with Very Strong SQL

Role: Data Engineer with Strong SQL

Location: Remote

Duration: Longterm

POSITION DESCRIPTION

POSITION DESCRIPTION

WHAT YOU’LL DO

• Architect, Design, document & implement the data pipelines to feed data models for

subsequent consumption in Snowflake using dbt, airflow.

• Ensure correctness and completeness of the data being transformed via engineering

pipelines for end consumption in Analytical Dashboards.

• Actively monitor and triage technical challenges in critical situations that require

immediate resolution.

• Evaluate viable technical solutions and share MVPs or PoCs in support of the

research

• Develop relationships with external stakeholders to maintain awareness of data and

security issues and trends

• Review work from other tech team members and provide feedback for growth

• Implement Data Performance, Data security policies that align with governance

objectives and regulatory requirements

YOU’RE GOOD AT

You have experience in data warehousing, data modelling, and the building of data

engineering pipelines. You are well versed in data engineering methods, such as ETL

and ELT techniques through scripting and/or tooling. You are good in analyzing

performance bottlenecks and providing enhancement recommendations; you have a

passion for customer service and a desire to learn and grow as a professional and a

technologist.

• Strong analytical skills related to working with unstructured datasets.

• Collaborating with product owners to identify requirements, define desired

outcomes and deliver trusted results.

• Building processes supporting data transformation, data structures, metadata,

dependency and workload management.

• In this role, SQL is heavily focused. An ideal candidate must have hands-on

experience with SQL database design. Plus, Python.

• Demonstrably deep understanding of SQL (level: advanced) and analytical data

warehouses (Snowflake preferred).

• Demonstrated ability to write new code i.e., well-documented and stored in a

version control system (we use GitHub & Bitbucket)