The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview: This multinational firm offers a comprehensive suite of professional services, encompassing audit and assurance services to build trust and confidence, tax advisory and compliance services to navigate complex tax landscapes, strategic advisory services, including mergers and acquisitions, divestitures, and corporate finance, as well as a wide range of consulting services, such as digital transformation, cybersecurity, and risk management.
Data Engineer, AI & Data, Technology Consulting
Key Responsibilities:
- Design, develop, and maintain scalable and efficient data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses and data lakes.
- Collaborate with data scientists, data analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions.
- Implement data quality checks and monitoring to ensure data accuracy, consistency, and reliability.
- Optimize data pipelines for performance, scalability, and cost-efficiency.
- Develop and maintain data models, schemas, and metadata to support data analytics and reporting.
- Work with big data technologies such as Hadoop, Spark, and Kafka to process and analyze large volumes of data.
- Implement data security and privacy best practices to protect sensitive data.
- Troubleshoot and resolve data-related issues in a timely manner.
- Stay up-to-date with the latest trends and best practices in data engineering and big data technologies.
Skills and Attributes for Success:
- Experience in ETL, Data Engineering, Scripting.
- Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
- Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
- Exceptional communication, documentation and presentation skills and stakeholder management experiences
- Experience in business intelligence, data warehousing/platform, and data strategy projects
To Qualify for the Role, You Must Have:
- At least 2 years’ experience as a Data Engineer with experience in development and maintenance support
- Data Migration experience in AWS, Azure, Hadoop, GCP environments
- Experience in development and maintenance of data processing pipelines
- Experience developing machine learning workflows
- Work closely with business analysts to create data component
Ideally, You’ll Also Have:
- Dashboarding experience with Tableau / Power BI
- Experience in engaging with both technical and non-technical stakeholders
- Consulting experience and background, including engaging directly with clients
- Degree in Computer Science or IT or Business Analytics
What We Look For:
- Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
- An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
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- No Client Relationship: This company is not a client of SpringCube unless stated.
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