Senior Data Engineering Specialist
1 week ago
Embark on a fulfilling experience working with a global manufacturing client. We offer an engaging product experience through best-in-class PIM implementation and building rich, relevant, and trusted product information across channels and digital touchpoints.
Key Responsibilities:- Develop scalable pipelines to efficiently process and transform data.
- Design and develop a robust framework for generating PDF reports using Python and Spark.
- Utilize Snowflake Spark SQL for high-volume data aggregations.
- Develop database objects to maintain data and share with downstream applications via APIs.
- Leverage cloud services for data processing and storage.
- Develop APIs using Flask to support front-end applications.
- Collaborate with stakeholders to understand reporting requirements.
- Proven experience as a Data Engineer with a strong understanding of data pipelines and ETL processes.
- Proficiency in Python with experience in data manipulation libraries such as Pandas and Numpy.
- Experience with SQL, Snowflake, Spark for data querying and aggregations.
- Familiarity with Azure cloud services.
- Excellent communication and collaboration skills.
Opportunities to work on exciting projects, collaborate with cross-functional teams, and grow your expertise in data engineering.
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