Senior Staff Engineer - Big Data Engineer

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Role: Highly Experienced Senior Developer Palantir

In this role you will be responsible to work with our Business Analytics & Insights (BAI) team. You will work closely with cross-functional teams to deliver high-quality solutions in domains such as Supply Chain, Finance, Operations, Customer Experience, HR, Risk Management, and Global IT.

Responsibilities:

• Develop a comprehensive technical plan for the migration, including data ingestion, transformation, storage, and access control in Azure's Data Factory and data lake.
• Develop scalable and re-usable frameworks for ingesting of data sets.
• Ensure data quality and integrity throughout the entire data pipeline, implementing robust data validation and cleansing mechanisms.
• Work with event based / streaming technologies to ingest and process data.
• Provide technical guidance and support to the team, resolving any technical challenges or issues that may arise during the migration and post-migration phases.
• Stay up to date with the latest advancements in cloud computing, data engineering, and analytics technologies, and recommend best practices and industry standards for implementing the data lake solution.
  

Qualifications

Must have Skills: Data Analysis & Visualization

Good To Have Skills: Power BI (Capable).

• 8 to 10 years of IT experience.
• Minimum 4 years of Experience working with Palantir.
• Experience in Cloud (Azure or Google).
• Experience in Data Modelling & Source System Analysis.
• Familiarity with PySpark.
• Mastery of SQL.
• Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.
• Experience in data visualization/exploration tools 
• Experience providing technical leadership and guidance to Teams.
• Strong problem-solving skills and the ability to translate business requirements into actionable data science solutions.
• Excellent communication skills, with the ability to effectively convey complex ideas to technical and non-technical stakeholders.
• Strong team player with excellent interpersonal and collaboration skills.
• Ability to manage multiple projects simultaneously and deliver high-quality results within specified timelines.

Nice-to-have skills:

• Experience preparing data for Data Science and Machine Learning Personal Attributes.