- Workplace
- Remote, Hybrid
- Department
- Engineering
- Seniority
- Senior
- Experience
- 6+ years
- Source
- Freshteam
Description
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.
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
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
Skills
PythonAWSDockerSQLOracleSparkDatabricksData EngineeringETLGitHub
