Staff Analytics Engineer
Vitoria, Brazil or Remote, Brazil
Trustly
Trustly, as a simple and fast online banking payments solution, enables consumers and merchants to carry out in and out payments using their bank account.Our digital account-to-account platform redefines the speed, simplicity, and security of payments. Consumers pay for purchases by simply signing into their bank accounts, bypassing the card networks, and never leaving a merchant’s site or app – no credit card numbers or separate account setup necessary. With offices in Vitoria, Brazil, Silicon Valley in the US, and global headquarters in Stockholm, Sweden, we are a culturally diverse team. Across Brazil, we have embraced remote work from home policy.
At Trustly, we believe that inclusion and diversity are essential foundations for building a fair and equitable society. We do not discriminate based on race, religion, ancestry, color, national origin, gender identity, sexual orientation, age, citizenship, marital status, or disability status. Our main goal is to provide a fair, welcoming, diverse environment with opportunities for all collaborators. The stages of our selection process take place online and without distinction of any kind.
It’s a great time to join Trustly as the Americas team is growing fast. If you thrive in an entrepreneurially-minded, fast-paced, casual, professional, positive, and rewarding work environment, check us out!
About the teamThe Analytics Engineering team works in between the Data Engineering team (data ingestion, etc) and the Data Analytics team (KPIs, Dashboards, data analysis, etc). They are responsible for the data cleaning/transformation/ETL process. They transform the raw data into "friendly" data marts (DW, aggregated tables, KPI calculations, fact tables, dimension tables).
What you will do:
- Designing, developing, and maintaining business intelligence solutions.
- Develop ETL / data cleaning process
- Build and scale out business functionality in the BI Data Warehouse
- Implement and automate robust QA/hygiene checks to ensure data quality in data lake is of the highest quality
- Work with the team on specific data engineering projects to build, scale, and optimize the Trustly big data environment, including the data lake, AWS infrastructure stack, data warehouse, and automation/visualization tools
- Documentation of data flows, architectural setup, and data model
- Implement data governance and documentation.
Who you are:
- Advanced knowledge in AWS environment (Spark, Athena, Presto, EMR. Airflow)
- Advanced knowledge in Python, PySpark, and SQL
- Advanced data modeling, ETL/data cleaning techniques.
- Advanced English.
Our perks and benefits:
- Bradesco health and dental plan, for you and your dependents, with no co-payment cos
- Sulamérica life insurance with differentiated coverage
- Meal voucher and supermarket voucher
- Home Office Allowance
- Gympass - Platform that gives access to spaces for physical activities and online classes
- Trustly Club - Discount at educational institutions and partner stores
- Monthly happy hours with iFood coupon
- English Program - Here you have space to develop your English, and you can choose an Online Platform or English Classes in company
- Extended maternity and paternity leave
- Birthday off
- Flexible hours/Home Office - our culture is remote-first! You can work in every city in Brazil
- Welcome Kit - We work with Apple equipment (Macbook Pro, iPhone) and we send many more treats! Spoiler alert: Equipment can be purchased by you according to internal criteria!
- Annual premium - As a member of our team, you are eligible to receive an annual bonus, at the company's discretion, based on the achievement of our KPIs.
- Referral Program - If you refer a candidate and we hire the person, you will receive a reward for that!
#LI-Remote #LI-CHERRYNE-TRUSTLY
At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need.
Want to make a difference in a fast-growing business? Apply now!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Athena AWS Banking Big Data Business Intelligence Data analysis Data Analytics Data governance Data quality Data warehouse Engineering ETL KPIs PySpark Python Security Spark SQL
Perks/benefits: Fitness / gym Flex hours Flex vacation Gear Health care Home office stipend Insurance Parental leave Salary bonus Signing bonus Team events
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