Senior Data Engineer
Summary
Design, build, and optimize ETL pipelines and data warehouses using Python, PySpark, Databricks, and cloud platforms to power marketing analytics and digital media reporting.
Overview
Our team is looking for a high-performing Data Engineer who will be responsible for the design, development, implementation, and on-going support of a data driven software platform. You enjoy and thrive in a fast-paced environment on multiple projects simultaneously, including both enhancements as well as new project development. The candidate must be a self-starter with a sense of urgency and a commitment to quality and professionalism.
Responsibilities
- Analyze ambiguous business requirements and partner with product team to provide a strategic solution
- Collaborate with frontend engineers to design or modify schema for optimal software performance
- Advanced database administration and development including stored procedures, user defined functions, triggers and ETL packages as well as security and roles
- Uphold quality standards and create monitoring tools to ensure high fidelity data
- Optimization and tuning of existing stored procedures to improve performance
- Troubleshoot database issues, identify root causes, and implement optimal solutions
- Extract, transform, and load data from multiple data sources using languages and platforms such as Python and Snowflake/Databricks
- Design, Build, Test, Debug, Monitor, and Troubleshoot ETL and software processes in Python
- Recommend solutions to existing or anticipated issues
- Serve as an escalation point for any issues that may arise
- Design testing requirements and prepare test plans and test modules
- Ability to follow implementation standards, develop documentation and transfer of knowledge
- Design, develop, and implement scalable data engineering solutions using Databricks, Apache Spark and distributed systems (e.g., AWS, Azure, GCP).
Qualifications
Required Experience (5+ years):
- 5+ years’ experience with ETL and databases
- 3+ years’ experience with PySpark
- Experience in Databricks and experience with Spark for big data processing.
- Familiarity with cloud technologies such as Amazon Web Services (Redshift, S3, Glue, Lambda)
- Advanced SQL programming skills (stored procedures, functions, etc.)
- Experience with marketing data and digital media
- Experience with complex processing logic against large data sets
- Excellent data modelling skills and experience working with multiple datasets
- Possession of strong communication and presentation skills as well as an analytical mindset
- Good problem solving and testing skills
- Familiarity with CI/CD tools and Git-based development workflows.
- Strong organizational skills & attention to detail
- Possess a desire to work for a fast-paced, results-based company
- Experience managing multiple projects simultaneously
- Self-driven/entrepreneurial spirit with the ability to think outside of the box
- Bachelor’s Degree in Computer Sciences, Information Technology, or equivalent
- English B2+
Preferred Experience
- Experience with Snowflake/Databricks
- Experience with Terraform
- Experience with Business Intelligence software (Tableau)
- Experience and thorough understanding of a variety of APIs