DATA ENGINEER

Overview

Job Description – Data Engineer (Azure Data Factory, Databricks, Spark, SQL, Python)

Role: Data Engineer
Experience Required: 2 to 5 years
Job Type: Full-Time
Work Location: Kochi (Onsite)

Key Responsibilities:

• Design, develop, and maintain data pipelines using Azure Data Factory (ADF).
• Implement data transformation workflows leveraging Azure Databricks and Apache Spark.
• Develop and optimize SQL queries for data processing and analysis.
• Write and maintain Python scripts for data integration and automation.
• Ensure data quality, performance, and security across the platform.
• Collaborate with data analysts, engineers, and business teams to understand requirements and deliver scalable solutions.
• Monitor and troubleshoot data pipelines, ensuring high availability and reliability.
• Work with structured and unstructured data from various sources.

Required Skills:

✅ Strong experience with Azure Data Factory (ADF) for data ingestion and orchestration.
✅ Hands-on expertise in Azure Databricks and Apache Spark for big data processing.
✅ Proficiency in SQL for writing complex queries and database optimization.
✅ Experience in Python for data manipulation, scripting, and automation.
✅ Knowledge of ETL/ELT processes and data integration best practices.
✅ Familiarity with cloud data storage solutions (Azure Data Lake, Blob Storage).
✅ Strong problem-solving and debugging skills.

Interested candidates can mail your resume to_ vinitha@purpledrive.com_

Job Types: Full-time, Part-time, Permanent, Internship, Contractual / Temporary, Freelance

Pay: ₹20,213.48 - ₹30,168.32 per month

Benefits:

• Cell phone reimbursement
• Food provided
• Health insurance
• Life insurance
• Paid sick time
• Paid time off
• Provident Fund

Schedule:

• Day shift
• Monday to Friday
• Morning shift

Work Location: In person

Application Deadline: 21/03/2025