We are hiring for our client in the financial services industry.
Duration: 12+ months
Job Type: Hybrid (3 days in office)
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.
Must-Have Skills:
Technical Proficiency:
- Experience with Python, SQL, and PySpark (or similar tools).
- Strong understanding of data transformation and modularization.
Organized Mindset:
- Ability to structure and manage data effectively to avoid downstream issues.
- Aptitude for setting up processes to streamline workflows.
Cloud-Based Experience:
- 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.