Data Engineer
4 weeks ago
We are seeking a skilled Data Engineer to join our team.
This role will involve designing, developing, and maintaining efficient data pipelines using SQL and Python, leveraging tools like Apache Airflow for orchestration.
The successful candidate will have strong proficiency in SQL for data querying, manipulation, and analysis, as well as excellent programming skills in Python, including experience with data manipulation libraries (Pandas, NumPy) and data engineering libraries (Dask, Airflow).
Experience with data visualization tools (Tableau, Power BI) is a plus.
Key Responsibilities:
- Design and develop efficient data pipelines using SQL and Python.
- Develop ETL (Extract, Transform, Load) processes to move data between various sources and destinations.
- Implement data quality checks and validation routines to ensure data accuracy and integrity.
- Collaborate with data analysts and scientists to understand their data needs and translate them into actionable data solutions.
- Optimize existing data pipelines for performance and scalability using Airflow's features for monitoring and optimization.
- Develop and maintain documentation for data pipelines and processes, including Airflow workflows.
- Contribute to the development and maintenance of data governance policies.
About Us
We specialize in delivering synergistic solutions that enable businesses to make informed decisions.
We deliver tangible and measurable benefits through advanced analytics solutions.
Our goal is to help businesses achieve their objective by providing them with the tools, information, and resources that they need to succeed.
We create a world where understanding the complex intricacies of businesses becomes easier.
We help businesses automate processes, improve efficiency, reduce costs, and gain a competitive advantage in the marketplace.
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