Job Description

- Years of Experience: 3 to 8 Years

- Role Type: Fixed Term Contract (6 Months)

- Payroll Organization: Talpro

- • CTC Offered:

> > - Exp Up to 5 Yrs - ₹100,000 per month (Maximum Rate)
>
>> - Exp 5 Yrs + - ₹1,50,000 per month (Maximum Rate)
>

- • Shift Timing: Day shift IST, from 12pm

- • Notice Period: Immediate Joiners Only

- • Work Location: Bangalore

- • Work Mode: Hybrid (3 Days from Office Weekly)

- Mandatory Skills:

- Databricks

- SQL

- PySpark

- Python

Requirements

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Mandatory Skills:

- • 5 years of hands-on experience as a Databricks / PySpark Developer

- • Robust Python programming skills

- • Proficient understanding of Apache Spark concepts (DataFrames, Spark SQL, MLlib)

- • Familiarity with cloud platforms (preferably Azure)

- • Hands-on with Azure Data Factory and other Azure services

- • Proficiency in SQL for ETL logic and Delta Lake

- • Strong experience in data pipeline design, ETL development, and Spark job optimization

- • Hands-on experience with GitLab and understanding of CI/CD pipelines, DevOps tools

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Good to Have Skills:

- • Exposure to data warehousing concepts and data modeling

- • Experience creating stored procedures, functions, tables, cursors

- • Knowledge of database testing, data comparison, and transformation scripting





- • Troubleshooting and performance profiling of database/server resources

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⸻

Role Overview / Job Summary:

We are looking for a skilled Databricks Developer with strong Python expertise to join our Data Engineering team in Bangalore. The ideal candidate will have solid experience building and optimizing large-scale data pipelines using Databricks and PySpark. You will be responsible for ETL design and development, data processing workflows, and ensuring best practices in data engineering within a hybrid work setup.

⸻

Key Responsibilities / Job Responsibilities:

• Design, develop, and deploy ETL processes on Databricks for data integration and transformation

• Build and optimize data pipelines, architectures, and datasets

• Implement and fine-tune Spark jobs, data transformations, and processing workflows

• Collaborate with data engineers, architects, and stakeholders to ensure efficient storage and processing

• Apply best practices for pipeline monitoring, logging, and error handling

• Work with Azure Data Factory and cloud services to deliver robust data solutions

• Engage in DevOps practices using GitLab and CI/CD pipelines

⸻

Additional Instructions:

• Immediate Joiners Preferred

• Candidates must be open to working onsite 1 to 3 days a week in Bangalore

• All mandatory skills must be clearly visible in the candidate’s CV for consideration

📌 Databricks Developer with Python (Chennai)
🏢 Nameless
📍 Chennai