Job Description

Job Description

Role: Data Analyst/ Engineer

Job Summary

Senior Level Data Engineer / Data Analyst technical lead with data analytics experience, Databricks, Pyspark and Python

This is a key role that requires senior/lead with great communication skills who is very proactive with risk & issue management.

Experience and Education Required

10+ years of experience as Data Analyst / Data Engineer with Databricks on AWS expertise in designing and implementing scalable, secure, and cost-efficient data solutions on AWS

Job Profile:

  • Hands-on data analytics experience with Databricks on AWS, Pyspark and Python
  • Must have prior experience with migrating a data asset to the cloud using a GenAI automation option
  • Experience in migrating data from on-premises to AWS
  • Expertise in developing data models, delivering data-driven insights for business solutions
  • Experience in pretraining, fine-tuning, augmenting and optimizing large language models (LLMs) 
  • Experience in Designing and implementing database solutions, developing PySpark applications to extract, transform, and aggregate data, generating insights
  • Data Collection & Integration: Identify, gather, and consolidate data from diverse sources, including internal databases and spreadsheets ensuring data integrity and relevance.
  • Data Cleaning & Transformation: Apply thorough data quality checks, cleaning processes, and transformations using Python (Pandas) and SQL to prepare datasets.
  • Automation & Scalability: Develop and maintain scripts that automate repetitive data preparation tasks.
  • Autonomy & Proactivity: Operate with minimal supervision, demonstrating initiative in problem-solving, prioritizing tasks, and continuously improving the quality and impact of your work

    • Technical Skills:

  • Minimum of 10 years of experience as a Data Analyst, Data Engineer, or related role, ideally with a bachelor’s degree or higher in a relevant field.
  • Strong proficiency in Python (Pandas, Scikit-learn, Matplotlib) and SQL, with experience working across various data formats and sources.
  • Proven ability to automate data workflows, implement code-based best practices, and maintain documentation to ensure reproducibility and scalability.

    • Behavioral Skills :

  • Ability to manage in tight circumstances, very pro-active with risk & issue management
  • Requirement Clarification & Communication: Interact directly with colleagues to clarify objectives, challenge assumptions.
  • Documentation & Best Practices: Maintain clear, concise documentation of data workflows, coding standards, and analytical methodologies to support knowledge transfer and scalability.
  • Collaboration & Stakeholder Engagement: Work closely with colleagues who provide data, raising questions about data validity, sharing insights, and co-creating solutions that address evolving needs.
  • Excellent communication skills for engaging with colleagues, clarifying requirements, and conveying analytical results in a meaningful, non-technical manner.
  • Demonstrated critical thinking skills, including the willingness to question assumptions, evaluate data quality, and recommend alternative approaches when necessary.
  • A self-directed, resourceful problem-solver who collaborates well with others while confidently managing tasks and priorities independently.

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