TL;DR

Senior Developer (Azure Databricks, PySpark): Driving the company's data initiatives by leveraging Databricks SQL and Workflows, with an accent on PySpark for optimizing data processes and enhancing analytics capabilities. Focus on building scalable data models, automating data operations, and ensuring data accuracy and performance.

Location: Hybrid in Kolkata, India.

Company

%hirify_global% is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era.

What you will do

Develop and optimize data pipelines using Databricks SQL to ensure efficient data processing and analytics.
Implement Databricks Workflows to automate and streamline data operations.
Utilize PySpark to build scalable data models that support complex data transformations and analytics.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Monitor and troubleshoot data processes to ensure accuracy and performance, ensuring data security and compliance.
Provide insights and recommendations based on data analysis to support strategic decision-making.

Requirements

Strong understanding of Databricks SQL and Databricks Workflows.
Proficiency in PySpark.
Excellent communication skills in English.
Minimum of 6 years of experience in data engineering.
Adaptability to hybrid work models.
Hold a Bachelor's degree in Computer Science or a related field.

Culture & Benefits

Energetic, collaborative, and inclusive workplace.
Global community with more than 300,000 associates.
Opportunity to build a career path.
Focus on innovation and societal impact.
Commitment to caring for people, clients, company, communities, and climate.