Sr. Data Engineer
3 days ago
Posting title: Sr. Data Engineer (Databricks)
Experience: 5+ Years
Location: Pune/ Ahmedabad
Work mode: Hybrid
Primary skills: Databricks, Data Modelling/ Data Lakehouse, SQL, Python/Scala, Azure Data Factory (ADF)/AWS Glue
Qualification: Any Technical Degree
Roles & Responsibilities:
Data Architecture & Development: Lead the design, development, and optimization of scalable, secure, and high-performance data solutions in Databricks.
ETL/ELT Pipeline Engineering: Build and maintain robust pipelines, integrating Databricks with Azure Data Factory (or AWS Glue), ensuring reliability and efficiency.
Advanced Analytics & AI Integration: Implement machine learning models and Generative AI-powered solutions to deliver business innovation.
Collaboration: Partner with data scientists, analysts, and business teams to translate requirements into technical designs and deliverables.
Data Quality & Governance: Enforce best practices for data validation, governance, and security to ensure trust and compliance.
Technical Leadership: Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning.
- Innovation & Research: Stay current with the latest trends in Databricks, Azure Data Factory, cloud platforms, and AI/ML to recommend and implement improvements.
Required Qualifications:
Bachelor's or master's degree in computer science, Information Technology, or a related field.
- 5+ years in data engineering, with at least 3 years of hands-on experience in Databricks.
Proven expertise in:
- Data modelling, Data Lakehouse architectures, and ELT/ETL processes
- SQL and at least one programming language (Python or Scala)
Integration with Azure Data Factory or AWS Glue
Strong understanding of cloud platforms (Azure preferred) and containerization (Docker).
Excellent analytical, problem-solving, and communication skills. - Demonstrated experience mentoring or leading technical team
Preferred Skills:
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.
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