Big Data Engineer - Databricks (Ref:gCPOE)

An exciting opportunity to join our client's team at a fast-growing digital product engineering company with a global presence in 33 countries and over 19,000 experts. The company builds products, services, and experiences that inspire, excite, and delight. We are looking for a Big Data Engineer - Databricks to join this global organization.

Objectives

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

• Be part of the technical plan for the migration, including data ingestion, transformation, storage, and access control in Azure's Data Factory and data lake.
• Design and implement scalable and efficient data pipelines to ensure smooth data movement from multiple sources using Azure Databricks.
• Developing 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.
• Working with event based/streaming technologies to ingest and process data.
• Provide 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

• 3+ years of experience working within Data Engineering field.
• Hands-on working experience with Azure Databricks.
• Experience in Data Modelling & Source System Analysis
• Familiarity with PySpark.
• Mastery of SQL.
• Knowledge of components: Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL.
• Experience with Python programming language used for data Engineering purposes.
• Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.
• Experience in data visualization/exploration tools.
• 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.

What our client is offering

• Access to private medical services.
• Sports benefits.
• Wellbeing workshops and participation in sports events.
• Referral bonus through our BYOB program (Bring Your Own Buddy).
• Access to legal assistance and counseling services.
• Lunch tickets.
• Vacation time depending on seniority with an yearly increase based on years spent in company.
• Access to e-learning platforms and various training programs.
• Plenty of room for innovation in a high-growth environment featuring the latest technologies and products
• Flat hierarchies and a long-term, stable position with attractive development opportunities
• Access to highly skilled experts offering training in leadership, technical, and personal development
• A flexible working environment
• Competitive remuneration and attractive benefits
• Opportunities to work with top clients on high-impact projects
• Continuous learning and improvement initiatives
• A dynamic, international work environment

Equal Opportunity EmployerRSight® is an equal opportunity employer and values diversity in the workplace. We encourage all qualified individuals, including those from diverse backgrounds and people with disabilities, to apply.

Application Instructions

Please submit your resume (mandatory) outlining your qualifications and interest in the position. Only candidates selected for interviews will be contacted.