Data Engineer

Data Engineer

Design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills: Databricks Unified Data Analytics Platform

Good to have skills: NA

Minimum 3 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data solutions are efficient, scalable, and aligned with business objectives.

Roles & Responsibilities:

• Expected to perform independently and become an SME.
• Required active participation/contribution in team discussions.
• Contribute in providing solutions to work related problems.
• Collaborate with stakeholders to gather and analyze data requirements.
• Design and implement robust data pipelines to support data processing and analytics.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
• Strong understanding of data modeling and database design principles.
• Experience with ETL tools and data integration techniques.
• Familiarity with cloud platforms and services related to data storage and processing.
• Knowledge of programming languages such as Python or Scala for data manipulation.

Additional Information:

• The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
• This position is based at our Pune office.
• A 15 years full time education is required.

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