Creative Synergies Group Overview
- Creative is a leading Global Technology Services firm delivering innovative solutions that build upon synergies between our Deep Engineering Domain Expertise and Digital Engineering Services
- We work with clients across the Global Transportation, Energy/Process, Industrial Products, Hi-Tech, and EdTech verticals
- Creative's global team of 1,500+ Can-Do engineers collaborate with our 40+ Fortune 500 clients to help them achieve their strategic and operational objectives (Including Google, GM, Samsung, Tesla, Mercedes, Sony, Mitsubishi)
- 95% of our revenue comes from US, Europe, Japan based customers
Service Offerings:
Data, Analytics, and AI Engineering Services
Digital Product and Platform Engineering
Intelligent Connected Product Engineering.
- Vehicle Centric Electronics
- Connected Car Solutions
- Mobile Robotics
- Industrial IoT
Digital Manufacturing
Digital Plant Engineering
Founder / CEO: Dr. Mukesh Gandhi
Former Michigan State University Professor (1984 - 1999)
- Published Ground-Breaking Technical Publications and Books
- Supervised PhD, Masters and Undergraduate Research Students - Who Are Now Leaders and Decision Makers In Industry And Academia
- Awarded Over $15 Million For Pioneering Research from National Science Foundation (NSF), US Army Research Office (ARO), Defense Advanced Research Projects Agency (DARPA), US National Institute of Standards and Technology (NIST)
Founder / CEO of Quantech Global Services
- Pioneering US-Indian Services company to serve major global automotive OEMs (GM, Ford, Nissan, Peugeot) from India-based delivery centers in the early 2000s
- Acquired by Wipro (NYSE:WIT)
Former Wipro, EDS Chief Executive
Founded Creative Synergies Group In 2011
Locations:
Culture:
Creative Synergies Group 3 Year Vision
- Continue growing overall business at 40% per year for the next 3 years
- Establish Leadership in AI/ML Engineering Services
- Substantially expand revenues in Electronics, Connected Vehicle Solutions, Mobile Robots, Industrial IoT
- Meaningfully expand into EdTech
- Explore niche acquisitions in the U.S.
Job Title:
Experience:
Job Summary:
We are seeking a skilled and motivated Senior Azure Data Engineer with 8-12 years of relevant experience. Candidate will play a pivotal role in designing, implementing, and optimizing large-scale data solutions on the Microsoft Azure platform. Candidate will work closely with other cross-functional teams to ensure data solutions are scalable, secure, and high-performance. The ideal candidate will have a strong background in data engineering, deep expertise in Azure Databricks and proven leadership skills to guide and mentor the team.
Key Responsibilities:
- Architect and Design Data Solutions: Lead the design and implementation of scalable, secure and high-performing data solutions on Azure, ensuring alignment with business goals and technical requirements.
- Data Pipeline Development: Build and optimize end-to-end data pipelines to collect, process and analyze data from various sources using Azure Databricks, Azure Data Factory and other Azure data services.
- Cloud Infrastructure Management: Architect and maintain cloud data infrastructure using Azure Data Lake, Azure Synapse Analytics, Azure SQL Data Warehouse and Azure Blob Storage.
- Collaborate with Cross-functional Teams: Work closely with data architects, business analysts and developers to gather requirements, define data models and ensure smooth integration of data across systems.
- Performance Tuning and Optimization: Continuously monitor and optimize the performance of data workflows and pipelines to ensure efficient data processing.
- Data Governance & Security: Implement best practices for data governance, security and compliance, ensuring that data solutions adhere to company and regulatory standards.
- Mentor and Lead Teams: Provide technical leadership and mentorship to junior data engineers, guiding them in the best practices of data engineering and cloud technologies.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 8-12 years of experience in data engineering, with at least 5+ years of hands-on experience with Microsoft Azure cloud technologies.
- Strong experience with Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Azure Blob Storage, Azure Data Lake and other related Azure services.
- Hands-on experience using these services: PySpark, Notebooks, Structured Streaming, Unity Catalog, Delta Live Tables, Workflows and SQL Warehouse
- In-depth knowledge of data modeling, ETL/ELT processes, data warehousing and data pipeline architecture.
- Proven experience in building and optimizing large-scale data pipelines in a cloud environment.
- Strong experience with SQL, NoSQL databases and big data processing technologies (e.g., Spark, Hadoop, Kafka).
- Hands-on experience with data transformation, data integration and data quality frameworks.
- Expertise in data security and compliance standards in a cloud-based environment.
- Ability to design and implement data governance strategies for large datasets.
- Strong leadership, communication and collaboration skills, with a proven ability to guide teams and manage complex projects.
Good to have:
- Microsoft Azure Data Engineer Certification
- Databricks Certified Data Engineer Professional
- Familiarity with GenAI Concepts
- Familiar with DevOps Practices
