Data Engineer (Python & AWS)
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About you:
You are a Data Engineer who enjoys building reliable scalable and high-performance data platforms that drive meaningful impact. You thrive in designing end-to-end solutions applying software engineering best practices and leveraging cloud technologies to deliver clean efficient and automated data pipelines. You are collaborative detail-oriented and constantly seeking to improve and innovate within the modern data ecosystem.
You Bring to Applaudo the Following Competencies:
- Bachelors degree in Computer Science Data Engineering or related field or equivalent practical experience.
- 5 years of hands-on experience as a Data Engineer.
- Advanced proficiency in SQL and strong understanding of database fundamentals.
- Proficient in Python for data processing automation and transformation.
- Experience working with AWS Azure or GCP including core data services.
- Strong knowledge of data modeling (dimensional normalized and performance-optimized).
- Experience with workflow orchestration tools (Airflow Dagster or Prefect).
- Familiarity with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
- Understanding of software engineering best practices including CI/CD version control and testing.
- Experience with Docker or Kubernetes for containerized data solutions (nice to have).
- Knowledge of Apache Spark or similar distributed data processing frameworks (nice to have).
- Familiarity with streaming technologies such as Kafka Kinesis or Pub/Sub (nice to have).
- English is a requirement as you will be working directly with US-based clients.
You Will Be Accountable for the Following Responsibilities:
- Design build and maintain scalable ETL/ELT pipelines integrating multiple data sources (APIs databases streams and files).
- Develop and optimize cloud-based data warehouses and data lakes (Snowflake BigQuery Redshift etc.).
- Implement observability and monitoring for data pipelines including logging and alerting.
- Apply software engineering principles to ensure reliable reusable and well-documented code.
- Collaborate with cross-functional teams to align data infrastructure with analytics and business goals.
- Ensure data reliability scalability and performance across environments.
- Automate workflows and promote Infrastructure as Code for consistency and repeatability.
- Stay current with emerging data engineering tools and technologies and propose continuous improvements.
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
