Senior Data Engineer (AWS, Python & SQL)
Devsu
Job description
About the role
We are looking for a Senior Data Engineer to design, build, and optimize scalable data platforms that support analytics, ecommerce, logistics, and marketing initiatives. This role will be responsible for developing robust data pipelines, improving the data infrastructure, and ensuring high‑quality, reliable data solutions in an AWS environment.
Key responsibilities
- Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.
- Improve and maintain the company’s data infrastructure and tooling, including Redshift/Snowflake, Airflow, and Fivetran.
- Architect data processing systems capable of handling complex data flows and large‑scale datasets.
- Develop reliable, efficient, and cost‑effective data solutions in an AWS environment.
- Ensure high standards of data quality through automation and best engineering practices.
- Optimize platform performance, resiliency, scalability, and operational costs.
- Collaborate closely with software engineers, analysts, and business stakeholders.
- Mentor engineers and analysts on data engineering best practices.
Required profile
- 4+ years of experience as a Data Engineer working with modern data technologies.
- Strong proficiency in Python and SQL.
- Hands‑on experience with Apache Spark and Apache Airflow.
- Experience designing and architecting data processing systems in AWS.
- Experience with Redshift and/or Snowflake.
- Knowledge of Fivetran or similar data ingestion tools.
- Excellent communication and interpersonal skills.
Required skills
- Python
- SQL
- AWS
- Apache Spark
- Apache Airflow
- Redshift
- Snowflake
- Fivetran
- Kafka (nice to have)
- AWS Kinesis Firehose (nice to have)
- Docker (nice to have)
- Kubernetes (nice to have)
- Ruby (nice to have)
- R (nice to have)
What we offer
- A stable, long‑term contract with opportunities for career growth.
- Private health insurance.
- Flexible schedule and remote‑friendly culture.
- Continuous training, mentorship, and learning programs.
- Free access to AI training resources and state‑of‑the‑art AI tools.
- Paid Time Off (PTO) policy and paid holidays.
- Challenging, world‑class software projects for US and LatAm clients.
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Published 21 hours ago
Expires 1 month from now
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