Data Engineer developing data models to support Analytics team at SafetyCulture. Collaborating with stakeholders to turn large data sets into valuable insights.
Responsibilities
Deliver big data datasets on time and with quality using the most out of our infrastructure.
Support the design of new feature data tracking to match our patterns.
Apply software engineering principles to our data pipeline, providing reusable and efficient code in Python, Scala and SQL.
Support our infrastructure in AWS and Databricks using Terraform.
Manage our data architecture via orchestration tools like Airflow.
Manage and optimise data at scale with Data Lake (Delta), Data Warehouse (Redshift and Databricks), ML architecture and external tools (Fivetran and Segment)
Work closely with the Software Engineers to design efficient data contracts, ensuring the requirements of data analysts, and support the analytics engineer team with sourcing very reliable datasets.
Contribute to fostering an open, positive atmosphere within the team, promoting collaboration, learning, and growth.
Requirements
Experience with data engineering architecture and cloud base solutions for big data.
Python or Scala - Comfort of writing solutions for scalable pipelines in Apache Spark.
Data warehouse experience (Redshift, Databricks or Snowflake).
Curiosity and self-drive to continuously learn new techniques and tools to extract value from data.
High level of comfort with ambiguity and ability to work in a fast-paced, agile environment in which you rapidly adapt and learn for any given business problem.
Benefits
Equity with high growth potential, and a competitive salary
Flexible working arrangements, we encourage you to create the best work blend while working from your home and the local SafetyCulture office
Access to professional and personal training and development opportunities
Hackathons, Workshops, Lunch & Learns
We encourage involvement in the community, open source work, attending talks and events, and experimenting with new technologies
In-house Culinary Crew serving up daily breakfast, lunch and snacks.
Barista coffee machine, craft beer on tap, boutique wines and a range of non-alcoholic beverages.
Wellbeing initiatives such as subsidized fitness programs, EAP services and generous parental leave policy.
Quarterly celebrations and team events, including the annual Shiplt global offsite.
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