The Google Cloud Data Engineer will design and implement data pipelines using Google Cloud technologies and collaborate with analysts to ensure data quality and governance.
Müller’s Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting.
Key Responsibilities:
- Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services.
- Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing.
- Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs.
- Monitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they arise.
- Ensure data quality by developing and implementing validation routines and data profiling techniques.
- Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team.
- Stay informed of emerging trends and best practices in data engineering and GCP technologies.
- Participate in team efforts to define and enhance data governance and management practices.
Requirements
Requirements:
- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
- 3+ years of experience in data engineering, with a focus on Google Cloud Platform.
- Proficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related tools.
- Strong SQL skills and experience in data modeling and data warehousing concepts.
- Familiarity with programming languages such as Python or Java for data processing tasks.
- Ability to work with various data sources, including structured and unstructured data.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
Preferred Qualifications:
- Google Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirable.
- Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub.
- Understanding of CI/CD practices in data engineering workflows.
- Knowledge of data visualization tools and techniques to present data insights effectively.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Database • Analytics
The Infrastructure Engineer role involves deploying and maintaining hosted solutions, designing infrastructure, and managing server hosting while ensuring high availability and performance.
Top Skills:
AnsibleAsa FirewallsAvamarCisco Nexus 7000Cisco Nexus 9000Cisco UcsData DomainEmc UnityF5 Dns Load BalancersF5 LtmPowershellPuppetPythonRhel 7.XVmware 6.XVmware 7.X
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Database • Analytics
The Regional Support Manager leads and develops the Support function, ensuring high-performance customer service and strategic direction in the Middle East, while managing incidents and service delivery effectively.
Top Skills:
Itil
Cloud • Security • Software • Cybersecurity • Automation
Manage and develop partner ecosystems in MEA, drive growth strategies with partners, and facilitate collaboration across teams to meet sales objectives.
Top Skills:
Salesforce
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
