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Senior Data Engineer

Salary undisclosed

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We are seeking a highly skilled Data Engineer to join our team. The ideal candidate will have a strong foundation in SQL, Big Data, Google Cloud Platform, Python, and Power BI,

Senior Data Engineer (Banking domain exp)

Location: Phoenix, AZ

Long Term

Visa: H1 Transfer/USC/Ead

Responsibilities:

Data Extraction, Transformation, and Loading (ETL): Develop and optimize ETL pipelines to extract data from various sources, transform it into a standardized format, and load it into a data warehouse or data lake.

Big Data Technologies: Work with big data technologies such as Hadoop, Spark, and Google Cloud Platform (Google Cloud Platform) to process and analyze massive datasets.

SQL Proficiency: Demonstrate strong SQL skills to query, manipulate, and analyze data from relational databases.

Power BI: Develop interactive dashboards and reports using Power BI to visualize and communicate data insights to stakeholders.

Cloud Infrastructure: Leverage Google Cloud Platform services (e.g., Big Query, Dataflow, Cloud Storage) to build and manage cloud-based data solutions.

Experience: 5+ yrs of Data Engineering Experience and 12+ years over all experience with a strong focus on SQL, big data technologies, and cloud platforms

Education: Bachelor s degree in computer science, Data Engineering, or a related field.

Skill: Strong SQL, Bigdata, Google Cloud Platform, Python, Power BI skills

Expertise in data warehousing concepts and best practices, should be exposed to data transformation from Data warehouse.

Should have exposure to a large, distributed environment

Experience in the banking industry or a related domain is a plus.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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