Lead Data Engineer (Databricks)

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(*Note: This is a requirement for one of Uplers' client - Inferenz)What do you need for this opportunity?Must have skills required:Databricks, SQL, Python, ETL tools, Data Modelling, Data WarehousingInferenz is Looking for:

Preferred Immediate Joiner

Key Responsibilities:

• Lead the design, development, and optimization of data solutions using Databricks, ensuring they are scalable, efficient, and secure.
• Collaborate with cross-functional teams to gather and analyse data requirements, translating them into robust data architectures and solutions.
• Develop and maintain ETL pipelines, leveraging Databricks and integrating with Azure Data Factory as needed.
• Implement machine learning models and advanced analytics solutions, incorporating Generative AI to drive innovation.
• Ensure data quality, governance, and security practices are adhered to, maintaining the integrity and reliability of data solutions.
• Provide technical leadership and mentorship to junior engineers, fostering an environment of learning and growth.
• Stay updated on the latest trends and advancements in data engineering, Databricks, Generative AI, and Azure Data Factory to continually enhance team capabilities.
  

Required Skills & Qualifications:

• Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
• 7+ to 10 years of experience in data engineering, with a focus on Databricks.
• Proven expertise in building and optimizing data solutions using Databricks and integrating with Azure Data Factory/AWS Glue.
• Proficiency in SQL and programming languages such as Python or Scala.
• Strong understanding of data modelling, ETL processes, and Data Warehousing/Data Lakehouse concepts.
• Familiarity with cloud platforms, particularly Azure, and containerization technologies such as Docker.
• Excellent analytical, problem-solving, and communication skills.
• Demonstrated leadership ability with experience mentoring and guiding junior team members.
  

Preferred Qualifications:

• Experience with Generative AI technologies and their applications.
• Familiarity with other cloud platforms, such as AWS or GCP.
• Knowledge of data governance frameworks and tools.
  

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  

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