Data Python Engineer
Important Information
Location:Singapore
Job mode : Contract
Job Summary:
Were seeking an experienced Data Python Engineer to join our team. As a Data Python Engineer you will design develop and maintain large-scale data pipelines and architectures using Python. You will work closely with cross-functional teams to ensure seamless data integration processing and analytics. Your expertise in Python data engineering and DevOps practices will drive our data-driven initiatives forward.
Key Responsibilities:
- Design and develop scalable data pipelines using Python.
- Collaborate with teams to integrate data from various sources.
- Ensure high-quality code through unit and integration testing.
- Optimize data processing and storage solutions.
- Stay up-to-date with emerging technologies and best practices.
Requirements:
- At least 8 years of experience in software or data engineering with proficiency in Python.
- Strong experience in unit and integration testing.
- Familiarity with DevOps practices and Agile methodologies.
Skillset (Good to have)
Experience with AWS and Kubernetes (K8s).
Familiarity with data platforms such as Snowflake Databricks Apache Spark Apache Hive open table formats (Delta Lake Apache Iceberg) and vector databases.
Experience with orchestration tools such as Apache Airflow Dagster Prefect and Temporal.
Familiarity with GitHub workflows and Datadog.
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services Product Engineering & Application Modernization Data & Analytics Digital Experience & Design Services DevSecOps Cybersecurity Quality Engineering AI & LLM Engineering among others.
At Encora we hire professionals based solely on their skills and do not discriminate based on age disability religion gender sexual orientation socioeconomic status or nationality.
As Encora Inc. expands its footprint in Latin America, its acquisition of Nearsoft provides our clients with a unique chance to Nearshore on a global scale.