Senior Data Engineer
Share
Job Location:
Monthly Salary:
Posted on:
Vacancies:
Job Summary
About You
You are a Senior Data Engineer who enjoys building reliable scalable data platforms and enabling data-driven and AI-powered products. You feel comfortable owning data pipelines end to end working closely with analytics and AI/Data Science teams and translating complex data problems into robust technical solutions.
You value clean architecture performance and data quality and youre curious about AI/ML integrations even if youre not a model builder. You thrive in collaborative environments and can operate with autonomy while guiding best practices across teams.
You Bring to Applaudo the Following Competencies:
- Bachelors degree or higher in Computer Science Computer Engineering or related field or equivalent professional experience.
- 5 years of experience as a Data Engineer building and operating production-grade data pipelines.
- Strong expertise in SQL including advanced joins CTEs window functions and performance tuning.
- Experience designing data models and analytical structures (dimensional models facts dimensions SCDs).
- Hands-on experience building ETL/ELT pipelines using modern orchestration tools (Airflow Dagster DBT or similar).
- Proficiency in Python for data processing and pipeline development (PySpark is a strong plus).
- Solid experience working with cloud platforms (AWS Azure or GCP) for data storage and processing.
- Familiarity with data platforms such as Snowflake Databricks PostgreSQL or similar.
- Experience using Git and CI/CD practices as part of a modern data engineering workflow.
- Exposure to supporting AI/Data Science initiatives such as data enablement for models embeddings entity matching or advanced analytics (nice to have).
- Familiarity with graph databases embeddings or AI integrations from a data engineering perspective (nice to have).
- Ability to work independently and collaborate effectively with analysts ML engineers and product teams.
- Advanced English proficiency (B2) able to work with global stakeholders.
You Will Be Accountable for the Following Responsibilities:
- Design build and maintain scalable data pipelines and ingestion processes supporting analytics and AI use cases.
- Implement and optimize ETL/ELT workflows with attention to performance reliability and cost.
- Design and evolve data models and curated layers to support reporting analytics and downstream systems.
- Collaborate with analytics AI/Data Science and product teams to understand data requirements and SLAs.
- Support AI and advanced analytics features by providing clean well-structured and reliable datasets.
- Apply best practices around data quality validation monitoring and observability.
- Write maintainable well-documented data code and contribute to shared standards and patterns.
- Participate in architecture discussions and help improve overall data platform design.
- (If senior/lead-leaning) Support or mentor less-experienced data engineers as the team grows.
Additional Information :
Here at Applaudo Studios values as trust communication respect excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.
Submit your application today and dont miss this opportunity to join the Best Digital team in the Region!
We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios and thats why the perks that we offer are deeply thought and designed as a way to thank them for their commitment and excellence.
Some of our perks and benefits:
- Celebrations
- Special discounts*
- Entertainment area*
- Modern Work Spaces*
- Great work environment
- Private medical insurance*
*Benefits may vary according to your location and/or availability. Request further information when applying.
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
