Databricks Sr. Developer

2 weeks ago

Pune, Maharashtra, India Cognizant Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Summary

We are seeking a highly skilled Sr. Developer with 7 to 10 years of experience to join our dynamic team. The ideal candidate will have expertise in Python Databricks SQL Databricks Workflows and PySpark. This role operates in a hybrid work model with day shifts offering the opportunity to work on innovative projects that drive our companys success.

Responsibilities

  • Develop and maintain scalable data processing systems using Python and PySpark to enhance data analytics capabilities.
  • Collaborate with cross-functional teams to design and implement Databricks Workflows that streamline data operations.
  • Optimize Databricks SQL queries to improve data retrieval performance and ensure efficient data management.
  • Provide technical expertise in Python programming to support the development of robust data solutions.
  • Oversee the integration of data sources into Databricks environments to facilitate seamless data processing.
  • Ensure data quality and integrity by implementing best practices in data validation and error handling.
  • Troubleshoot and resolve complex technical issues related to Databricks and PySpark environments.
  • Contribute to the continuous improvement of data processing frameworks and methodologies.
  • Mentor junior developers and provide guidance on best practices in data engineering.
  • Collaborate with stakeholders to gather requirements and translate them into technical specifications.
  • Conduct code reviews to ensure adherence to coding standards and best practices.
  • Stay updated with the latest industry trends and technologies to drive innovation in data engineering.
  • Document technical processes and workflows to support knowledge sharing and team collaboration.

Qualifications

  • Possess a strong proficiency in Python programming and its application in data engineering.
  • Demonstrate expertise in Databricks SQL and its use in optimizing data queries.
  • Have hands-on experience with Databricks Workflows for efficient data processing.
  • Show proficiency in PySpark for developing scalable data solutions.
  • Exhibit excellent problem-solving skills and the ability to troubleshoot complex technical issues.
  • Have a solid understanding of data integration techniques and best practices.
  • Display strong communication skills to collaborate effectively with cross-functional teams.

Certifications Required

Databricks Certified Data Engineer Associate Python Institute PCEP Certification

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