
Senior Data Engineer
2 weeks 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 :
- Bachelors or masters 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 :
1. Data modelling, Data Lakehouse architectures, and ELT/ETL processes
2. 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.
(ref:hirist.tech)-
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