Senior Data Engineer

We are looking for a Senior Data Engineer to join our data engineering team and lead the design and implementation of scalable, high-performance data solutions. The ideal candidate will have extensive experience with Python, Databricks, AWS platforms, and strong hands-on skills Docker. You will play a key role in integrating data with client’s vendors, specifically Flat File exchange for now, but new vendors will be API integrations.

Our Company:

Founded in 2003, Braves Technologies is helping global technology companies incubate their dedicated offshore software development teams in India. For the past 15+ years, Braves has been building Software Engineering, Game Development, and Customer Success teams for clients across the US and Australia.

For more information, you can visit https://www.bravestechnologies.com/

Our Culture:

We are a team focused on high performance, high delivery, diverse thinking, and embodying a collaborative culture at all levels. We value and encourage learning throughout the organization. Every employee at Braves understands ownership and fulfills what is required. We align a perfect work-life balance.

Key Responsibilities

• Design and implement scalable ETL/ELT pipelines using Databricks and Apache Spark.
• Develop, maintain, and optimise SQL and PL/SQL scripts for data extraction, transformation, and loading from Oracle and other relational databases.
• Write robust, reusable, and optimised Python and Shell scripts for data automation and workflow orchestration.
• Manage data ingestion and integration processes across structured and unstructured sources.
• Deploy and manage code using GitHub for version control and collaboration.
• Monitor, troubleshoot, and improve performance of data pipelines and jobs.

Required Skills & Experience

• 6+ years of experience in data engineering with large-scale data systems.
• Strong proficiency in Databricks, Python, AWS S3 buckets, and Docker
• Solid experience with SQL, PL/SQL.
• Advanced programming in Python for data transformation and automation.
• Hands-on experience with GitHub for code versioning, branching, and collaboration.
• Familiar with data quality frameworks and best practices in data architecture.
• Lake house architecture implementation experience

What’s in it for you/Benefits for working for us:

Competitive Salary

Remote/Hybrid work culture

Flexible work timings

Family Group Medical Health Insurance

Group Accidental Insurance

Leave encashments (Gross, not just base salary)

Regular Fun and Sports activities.

Birthday/Anniversary Celebrations