Data Engineer (ETL/ELT) (Finance Domain)

Market insights

Stack

Details

Free, after you sign in.

Apply

Upload your CV — employers and recruiters from different countries looking for your profile can contact you directly.

Description

Key Responsibilities Develop and maintain data pipelines and ETL/ELT/analytics engineering workflows to support advanced search and retrieval capabilities. Collaborate with data teams to understand requirements and automate deployment and monitoring. Optimize data storage and troubleshoot issues to enhance performance. Work closely with data engineers and relevant parties to ensure sprints are planned out properly and completed timely. Perform BAU monitoring, investigations and resolutions. Assist with data governance and data management initiatives. Production and application support from a day-to-day basis. Skillset Requirements Possess a degree in Computer Science/Information Technology or related fields. At least 5 years of hands-on experience in software or data engineering with proficiency in Python. Strong experience in unit and integration testing. Familiarity with DevOps practices and Agile methodologies. 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. Good written and verbal communication skills. Agile, fast learner and able to adapt to changes.

Company and the link to apply — after you sign in. Sign in

Employer contacts (email/phone/telegram) are hidden from the public preview. Send your CV so employers can reach you directly.