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Tech Stack
Tools & technologiesAirflowDockerKafkaKubernetesPostgresPythonSQLVault
About the role
Key responsibilities & impact- Build and support data pipelines that can handle the volume and complexity of data while ensuring scale, data accuracy, availability, observability, security, and optimum performance
- Developing and maintaining data warehouse tables, views, and models, for consumption by analysts and downstream applications
- Own and lead workstreams while driving results through self or your team
- Participate in periodic data engineering activities, e.g. monthly insights reporting, profile data updates, etc
- Troubleshoot production issues, and participating in on-call activities
- Identify several areas for improving data engineering processes, and share with the team
- Contribute consistently towards building our data platform, which includes data pipelines, and data warehouse layers
- Independently own and lead workstreams whether it is periodic data engineering activities, or work items in support of our roadmap
- Deepen your understanding, and build subject matter expertise of our data & ecosystem
- Your contributions have led to us making significant progress in implementing the data platform strategy, and key data initiatives to support the company's growth
- You’ve established yourself as a key team member with subject matter expertise within data engineering
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field
- 6+ years of experience in data engineering
- Demonstrated experience of building, and supporting large scale data pipelines - streaming and batch processing
- Software engineering mindset, leading with the principles of source control, infrastructure as code, testing, modularity, automation, CI/CD, and observability
- Proficiency in Python, SQL, Snowflake, Postgres, DBT, Airflow, Docker, Kubernetes, Kafka
- Experience of working with Google Analytics, Marketing, Ad & Social media platform, CRM/Salesforce, and JSON data; Government datasets, and geo-spatial data will be a plus
- Knowledge and understanding of the modern data platform, and its key components - ingestion, transformation, curation, quality, governance, and delivery
- Knowledge of data modeling techniques (3NF, Dimensional, Vault)
- Self-starter, analytical problem solver, highly attentive to detail, effective communicator, and obsessed with good documentation
- Familiarity with Agile product management principles will be a plus
Benefits
Comp & perks- Flexible work arrangements
- Remote work options
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata pipelinesstreaming processingbatch processingPythonSQLSnowflakePostgresDBTAirflow
Soft Skills
self-starteranalytical problem solverattention to detaileffective communicatordocumentation