Senior Data Engineer

Position summaryOur proprietary software-as-a-service helps automotive dealerships and sales teams better understand and predict exactly which customers are ready to buy, the reasons why, and the key offers and incentives most likely to close the sale. Its micro-marketing engine then delivers the right message at the right time to those customers, ensuring higher conversion rates and a stronger ROI.

What You'll DoYou will be part of our Data Platform & Product Insights data engineering team. As part of this agile team, you will work in our cloud native environment to

• Build & support data ingestion and processing pipelines in cloud. This will entail extraction, load and transformation of big data from a wide variety of sources, both batch & streaming, using latest data frameworks and technologies
• Partner with product team to assemble large, complex data sets that meet functional and non-functional business requirements, ensure build out of Data Dictionaries/Data Catalogue and detailed documentation and knowledge around these data assets, metrics and KPIs.
• Warehouse this data, build data marts, data aggregations, metrics, KPIs, business logic that leads to actionable insights into our product efficacy, marketing platform, customer behaviour, retention etc.
• Build real-time monitoring dashboards and alerting systems.
• Coach and mentor other team members.

• 6+ years of experience in Big Data and Data Engineering.
• Strong knowledge of advanced SQL, data warehousing concepts and DataMart designing.
• Have strong programming skills in SQL, Python etc.
• Experience in design and development of data pipeline, ETL/ELT process on-premises/cloud.
• Experience in one of the Cloud providers GCP, Azure, AWS.
• Experience with relational SQL and NoSQL databases, including Postgres.
• Experience workflow management tools: AWS data pipeline, Google Cloud Composer etc.
• Experience with Distributed Versioning Control environments such as GIT, Azure DevOps
• Building Docker images and fetch/promote and deploy to Production. Integrate Docker container orchestration framework, config Maps, deployments using terraform.
• Should be able to convert business queries into technical documentation.
• Strong problem solving and communication skills.
• Bachelors or an advanced degree in Computer Science or related engineering discipline.

• Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc.
• Agile software development methodologies.
• Working in multi-functional, multi-location teams

• Total Rewards. Monetary, beneficial and developmental rewards!
• Work Life Balance. You can't do a good job if your job is all you do!
• Prepare for the Future.Academy we are all learners; we are all teachers!
• Employee Assistance Program. Confidential and Professional Counselling and Consulting.
• Diversity & Inclusion. HeForShe!
• Internal Mobility.Grow with us!