Data Engineer

At Mindera, we craft software with people we love. 💛

We're looking for a DATA ENGINEER to join our team!

As a Data Engineer, you will be responsible for building, maintaining, scaling, and integrating big data based platforms. You will also be working with the Data Science team in setting up and automating the Data Science models/algorithms for production use.

This is a fantastic opportunity for someone who is passionate about Data and is excited to use different tools to provide data insight for further analysis in driving business decisions.

When you join Mindera we welcome you into a fun and politics-free work culture, built on the principles of lean and self-organisation.

Note: Depending on the project and our clients' needs, you may get the chance to pack your bags and take off every now and then. Typically, we estimate travel time to be between 0% and 15%.

HOW YOU’LL MAKE AN IMPACT:

• Building and optimizing ETL / ELT data pipelines using Modern Data Stack tools;
• Implementing/supporting new data solutions in the data lake/warehouse built on the Snowflake;
• Developing and designing data pipelines using Python;
• Designing and implementing Continuous Integration/Continuous Deployment pipelines;
• Performing Data Modelling using downstream requirements;
• Developing transformation scripts using advanced SQL and DBT;
• Designing dimensional data models using the Kimball approach for the Data Warehouse;
• Writing test cases/scenarios to ensure incident-free production release;
• Collaborating closely with data analysts, BI and different domains such as Finance, risk, compliance, product and engineering to fulfil requirements.
• Debugging production and development issues and providing support to colleagues where necessary;
• Performing data quality checks to ensure the quality of the data exposed to the end users;
• Building strong relationships with team, peers and stakeholders;
• Contributing to overall data platform implementation.

YOUR SKILLS & EXPERIENCE:

• Technical Languages: Python, Shell Script;
• Cloud: AWS/Microsoft Azure;
• Knowledge of Object-oriented Programming languages;
• Advanced experience with Data Modelling such as Kimball techniques;
• Advanced experience with Data Warehouse Design;
• Advanced working SQL knowledge and experience working with relational databases, as well as familiarity with one or more cloud-based data warehouses such as Snowflake, Redshift, BigQuery;
• Experience with DBT (data build tool);
• Experience with Pyspark;
• Experience with IaC tools such as Terraform, Cloudformation;
• Experience with source control, Continuous Integration, Delivery, and Deployment through CI Pipelines;
• Experience working with Airflow, Docker and CI/CD would be preferable
• Previous experience working with AWS cloud services in production (API Gateway, AWS Lambda, SSM, SNS, SQS, Firehose, S3, SageMaker, etc) is a plus;
• Knowledge of Scrum, Kanban, or other agile frameworks is beneficial, but not required;
• Fluency in English.

We'd love to get to know you better!