| Senior Level Data Engineer / Data Analyst technical lead - CST AND EST candidate required (Day 1 Onsite) at Day, New York, USA |
| Email: [email protected] |
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Role: Senior Level Lead Data Engineer / Data Analyst technical lead Location: CST AND EST candidate required (Day 1 Onsite) 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/Data Scientist 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 bachelors 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. Behavioural 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. Regards, Shakti Shahi Rajput Senior Technical Recruiter [email protected] -- Keywords: information technology Colorado Senior Level Data Engineer / Data Analyst technical lead - CST AND EST candidate required (Day 1 Onsite) [email protected] |
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| 09:46 PM 24-Feb-25 |