Senior Data Engineer

Key Responsibilities

 Implement/support new data solutions in datalake/datawarehouse built on snowflake.

 Develop and design data pipelines using python, spark and snowflake.

 Implement infrastructure as code using cloud-formation and terraform.

 Design and Implement Continuous Integration/Continuous Deployments pipelines.

 Perform Data Modelling using downstream requirements.

 Develop transformation scripts using advanced SQL and DBT.

 Create reports/dashboard using business intelligence tools such as looker and tableau.

 Write test cases/scenarios to ensure incident free production release.

 Collaborate closely with data analysts and different domains such as Finance, risk, compliance,

product and engineering to fulfil requirements.

 Identify areas of improvements in data pipelines, snowflake, infrastructure etc

 Conduct peer reviews of the code.

 Debug production and development issues and provide support to colleagues where necessary.

 Perform data quality checks to ensure quality of the data exposed to the end users.

 Perform production deployments and perform a post-production support and validation (We follow

a “You build, you run it” philosophy)

 Build strong relationships with team, peers and stakeholders.

 Contributes to overall data platform implementation.

Key Stakeholders

 Data Analysts

 Data Scientists

 Business users in different domains such as:

o Risk

o Finance

o Compliance

o Marketing

Requirements

Minimum of 7 years of experience working in Datawarehouse/datalake

 Proficient in SQL/Python/Spark

 Exposure to DBT would be preferable

 Experience in AWS services such as Glue, Lambda, S3, DynamoDB, RDS, Kinesis, ECS/Fargate.

 Experience working with modern data platforms such as redshift or snowflake

 Experience working with BI tools such as looker and tableau

 Experience working with docker

 Proficient in data modelling.

Skills and characteristics

 Understanding of full stack data engineer – from infrastructure to data pipelines to reports in AWS.

 Understanding of modern data architectures

 Takes ownership of issues and proactively communicate to relevant stakeholders

 Excellent focus on delivery and providing incremental value to business.

Prioritise work and proactively reach out to team if blocked or requires help.

 Can do attitude.

Benefits

We offer

• Flexible working hours (self-managed)
• Competitive salary
• Annual bonus, subject to company performance
• Access to Udemy online training and opportunities to learn and grow within the role

At Mindera we use technology to build products we are proud of, with people we love. Software Engineering Applications, including Web and Mobile, are at the core of what we do at Mindera. We partner with our clients, to understand their product and deliver high performance, resilient and scalable software systems that create an impact on their users and businesses across the world.

You get to work with a bunch of great people, where the whole team owns the project together. Our culture reflects our lean and self-organisation attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication. We are proud of our work and we love to learn all and everything while navigating through an Agile, Lean and collaborative environment.

Check out our Blog: http://mindera.com/ and our Handbook: http://bit.ly/MinderaHandbook

Our offices are located: Porto, Portugal | Aveiro, Portugal | Coimbra, Portugal | Leicester, UK | San Diego, USA | Pittsburg, USA | Cluj, Romania | Chennai, India | Bengaluru, India

Mindera is an equal opportunity employer and does not discriminate on the basis of age, disability, gender including gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or any other protected status. All matters related to employment are decided on the basis of qualifications, merit and business need.