ETL Developer, Databricks

Jobtailor; Bengaluru; On-site; INR 1,500,000 - 1,900,000; Full time

Job summary

Jobtailor in Bengaluru is seeking a senior data engineer to design, develop, and maintain robust data integration solutions on Databricks. You will collaborate with cross-functional teams to translate data requirements into scalable pipelines.

The role requires 5+ years with Databricks, strong ETL tooling, SQL and Python, and cloud experience (AWS/Azure/GCP). You will mentor juniors and drive best practices across the data stack.

Qualifications

• Bachelor’s degree in computer science or equivalent.
• 5+ years of hands-on Databricks experience (Mandatory).
• Strong knowledge of ETL tools (Informatica, Talend, SSIS). (Mandatory).
• Experience with data warehousing and data lake concepts.
• Proficiency in SQL and Python for data manipulation and analysis.
• Experience with cloud platforms (AWS, Azure, GCP) and their data services.
• Excellent problem-solving skills.
• Strong communication and collaboration skills.

Responsibilities

• Design, develop, and maintain data integration solutions using Databricks.
• Collaborate with cross-functional teams to understand data requirements and deliver efficient data solutions.
• Implement ETL processes to load data into data warehouses/data lakes.
• Optimize and troubleshoot Databricks workflows and performance issues.
• Ensure data quality and integrity throughout the data lifecycle.
• Provide technical guidance and mentorship to junior developers.
• Stay updated with industry trends and best practices in data integration and Databricks.

Skills

Databricks

SQL

Python

Data integration

Problem solving

Communication

Education

Bachelor’s degree in computer science

Tools

Informatica

Talend

SSIS

Job description

Responsibilities

• Design, develop, and maintain data integration solutions using Databricks.
• Collaborate with cross-functional teams to understand data requirements and deliver efficient data solutions.
• Implement ETL processes to extract, transform, and load data from various sources into data warehouses/data lakes.
• Optimize and troubleshoot Databricks workflows and performance issues.
• Ensure data quality and integrity throughout the data lifecycle.
• Provide technical guidance and mentorship to junior developers.
• Stay updated with the latest industry trends and best practices in data integration and Databricks.

Requirements

• Bachelor’s degree in computer science or equivalent.
• Minimum of 5 years of hands-on experience with Databricks.(Mandatory)
• Strong knowledge of any ETL tool (e.g., Informatica, Talend, SSIS). (Mandatory)
• Well-versed in data warehousing and data lake concepts.
• Proficient in SQL and Python for data manipulation and analysis.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
• Excellent problem‑solving skills.
• Strong communication and collaboration skills.