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▷ (3 Days Left) Azure Data Engineer Lead

▷ (3 Days Left) Azure Data Engineer Lead

Creative Synergies GroupIndia
10 hours ago
Job description

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 : Headquartered in the U.S., multiple delivery centers in India (Bengaluru, Pune), branch offices in Germany, U.K, Netherlands and Japan

    Culture : Creative has a flat organization and an agile culture of positivity, entrepreneurial spirit, customer centricity, teamwork, and meritocracy

    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 : Azure Data Engineer Lead - (Availability to join within 4 weeks is highly preferable)

    Experience : 8-12 years

    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
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