Jobs Responsibility

• Support a community of data engineers and data scientists by understanding their problems and answering

• their questions and helping them write the solutions on the Data Platform

• Develop data pipeline on Bigdata platform by the following technology stack: Python3, scripting (Bash/Python), Hadoop, Docker, Kubernetes, etc.

• Building and monitoring data pipeline architecture to manage big data and ETL onto data warehouse/data lake

• Developing the Data Management policy, support, and QA activities of data management developments.

Qualifications

• A bachelor's degree in computer engineering, computer science, mathematics, statistics, or a related field. A master's or Ph.D. is a plus.

• Understand the design and implementation of several of the following: Master & Reference Data Management,

• Metadata Management, Data Quality Management, Data Analytics, Data Modelling, and Data Exchanges.

• Knowledgeable in using Databases (such as PostgreSQL, MySQL, Big Query, Athena) and writing SQL queries.

• Experience in ETL tools or data pipeline language such as Python or related.

• Experience building data pipelines, e.g., Apache Airflow, Dagster, or related.

• Familiarity with model development/deployment life cycle (CI/CD, MLOps)

• Industry experience building / owning end-to-end AI applications or data products is a big bonus.

We Offer

• Become a part of a dynamic, growing company that values your contributions and embraces new ideas.

• Smart and fun teammates to collaborate with and learn from.

• A great culture that allows you to experiment, learn from mistakes and grow fast

• A competitive compensation package with generous benefits.