Job Description
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
A leading global professional services organization is seeking a Data Engineer – Senior Associate to join its Data and Analytics Engineering team. The organization helps clients transform raw data into actionable insights by designing and implementing modern data infrastructure, data pipelines, integration solutions, and scalable data architectures.
The role focuses on building robust data solutions that enable efficient data processing and analysis while supporting informed decision-making and business growth. The successful candidate will combine technical expertise with strong client relationships, problem-solving capabilities, and a commitment to delivering high-quality solutions.
Key Responsibilities
- Design and implement comprehensive data architecture strategies.
- Analyze complex technical and business issues to develop innovative solutions.
- Develop and document data models, data flow diagrams, and data architecture guidelines.
- Ensure data architecture complies with data governance and security policies.
- Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
- Build, maintain, and enhance ETL/ELT pipelines for data ingestion, processing, and storage.
- Develop and deploy scalable data storage solutions using AWS, Azure, and GCP services.
- Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, and Dataflow.
- Optimize cloud resources to improve cost efficiency, performance, and scalability.
- Analyze and interpret data to generate meaningful insights and recommendations.
- Mentor and guide junior team members while contributing to a collaborative team environment.
- Build and maintain strong client relationships.
- Uphold professional and technical standards, organizational codes of conduct, and applicable independence requirements.
- Develop a deeper understanding of business environments and how changing business needs affect data strategies and solutions.
Required Qualifications
- Bachelor’s Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics.
- At least 2 years of relevant professional experience.
Preferred Qualifications
- Cloud platform certifications such as AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer, Microsoft Azure Solutions Architect, or Azure Data Engineer Associate.
- Snowflake Core certification.
- Databricks Data Engineer Associate certification.
- Experience designing and implementing comprehensive data architecture strategies.
- Experience developing and documenting data models, data flow diagrams, and data architecture standards.
- Experience maintaining data architecture compliance with data governance and data security policies.
- Experience collaborating with business stakeholders to identify and define data requirements.
- Experience building, maintaining, and enhancing ETL/ELT pipelines.
- Experience developing scalable data storage solutions across AWS, Azure, and GCP.
- Experience implementing cloud-based data integration solutions.
- Experience optimizing cloud resources for cost, performance, and scalability.
- Strong critical-thinking and problem-solving skills.
- Ability to work effectively with diverse perspectives, requirements, and stakeholder needs.
- Strong communication, collaboration, mentoring, and relationship-building skills.
Professional Expectations
- Respond effectively to diverse perspectives, needs, and stakeholder requirements.
- Apply a broad range of tools, methodologies, and techniques to generate ideas and solve complex problems.
- Use critical thinking to break down complex technical concepts.
- Understand broader project objectives and how individual contributions support overall strategy.
- Develop awareness of business context and changing client requirements.
- Use reflection and feedback to strengthen capabilities and address development areas.
- Interpret data to support insights and recommendations.
- Maintain high standards of professional and technical quality.
Disclaimer
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- No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
- No Client Relationship: This company is not a client of SpringCube unless stated.
- To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
- No Liability: SpringCube is not liable for inaccuracies.
