Job Title:
(Senior) Databricks Developer - Full remote - contractor in USD
Company: All European Careers
Location: Gurgaon, Haryana
Created: 2026-01-08
Job Type: Full Time
Job Description:
For an international project in Chennai, we are urgently looking for a Full Remote (Senior) Databricks Developer with +8 years of Data Science experience to migrate composite data and web services to Databricks.We are looking for a motivated contractor. Candidates need to be fluent in English.Tasks and responsibilities:Collaborate with data architects and analysts to design robust data pipelines on the Databricks platform;Develop scalable and efficient ETL processes to ingest, transform, and store large volumes of data;Ensure data quality and integrity through the implementation of validation and cleansing processes. Optimize data pipelines for performance, scalability, and cost-effectiveness;Monitor and troubleshoot data pipeline issues to ensure seamless data flow and processing;Implement best practices for data storage, retrieval, and processing to enhance system performance;Work closely with cross-functional teams to understand data requirements and deliver solutions that meet business needs;Document data pipeline designs, processes, and configurations for future reference and knowledge sharing;Provide technical guidance and support to team members and stakeholders on Databricks-related features;Profile:Bachelor or Master degree;+8 years of experience in Data Science roles;Azure Databricks for developing, managing, and optimizing big data solutions on the Azure platform;Programming skills in Python for writing data processing scripts and working with machine learning models;Advanced SQL skills for querying and manipulating data within Databricks and integrating with other Azure services;Azure Data Lake Storage (ADLS) for storing and accessing large volumes of structured and unstructured data and ensuring data reliability and consistency in Databricks;Power BI Integration for creating interactive data visualizations and dashboards;PowerApps Integration for building custom business applications that leverage big data insights;Data engineering, including ETL processes and data pipeline development;Azure DevOps for implementing CI/CD pipelines and managing code repositories;Machine Learning concepts and tools within Databricks for developing predictive models;Azure Synapse Analytics for integrating big data and data warehousing solutions;Azure Functions for creating serverless computing solutions that integrate with Databricks;Databricks REST API for automating tasks and integrating with other systems;Azure Active Directory for managing user access and security within Azure Databricks;Azure Blob Storage for storing and retrieving large amounts of unstructured data;Azure Monitor for tracking and analyzing the performance of Databricks applications;Have familiarity with data governance practices for ensuring compliance and data quality in big data projects;Fluent in English;