Lead Data Engineer (Databricks)

Experience: 7.00 + years

Salary: Confidential (based on experience)

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Hybrid (Ahmedabad)

Placement Type: Full time Permanent Position

(*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 Warehousing

Inferenz is Looking for:

Position: Lead Data Engineer (Databricks)

Location: Ahmedabad, Pune

Required Experience: 7 to 10 Years

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!
  
  
  

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!