Data Engineering Specialist
3 days ago
We are seeking a highly skilled Data Engineer to join our team at Compunnel Inc. in the financial services industry.
The ideal candidate will have 2+ years of experience in data engineering, with a strong background in cloud-based environments and data transformation tools like Python, SQL, PySpark, and Databricks.
As a Data Engineer, you will be responsible for transforming and organizing large datasets in a cloud-based environment, designing and implementing upstream processes to modularize data, and collaborating with multiple analytics teams to ensure data readiness and usability.
Salary: $120,000 - $180,000 per year, depending on experience.
Responsibilities:
- Support an Advanced Analytics Team in data enablement efforts.
- Transform and organize data in a cloud-based environment for effective use by analytics teams.
- Design and implement upstream processes to modularize data and reduce repetitive downstream work.
- Handle and process approximately 1.5 billion records in a structured and efficient manner.
- Collaborate with multiple analytics teams to ensure data readiness and usability.
- Gain exposure to advanced analytics, including Generative AI projects planned for the upcoming year.
- Utilize tools like Python, SQL, PySpark, and Databricks (or similar platforms) for data transformation.
- Assist in creating data visualizations using Power BI or Tableau.
Requirements:
- Experience with Python, SQL, and PySpark (or similar tools).
- Strong understanding of data transformation and modularization.
- Aptitude for setting up processes to streamline workflows.
- Familiarity with working in cloud environments.
Nice-to-Have Skills:
- Familiarity with data transformation tools like Databricks or Spark.
- Experience with visualization tools such as Power BI or Tableau.
- Exposure to advanced analytics or interest in AI-related work.
- Background in the financial services industry.
Education and Experience:
- Candidates with equivalent education or relevant work experience are welcome.
- Ideal for junior candidates with 2+ years of experience, including recent graduates with strong data engineering skills.
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