- Think bigger – because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues.
- Move faster – because you’ll be working with experienced, helpful teams who can guide you through challenges, quickly resolve issues, and show you new ways to get things done.
- Go further – because you have the opportunity to grow professionally, add new skills, and take on new responsibilities in an organization that takes a long-term view of every relationship.
- Design and implement data pipelines using Databricks to process and transform large-scale datasets.
- Collaborate with the client’s technical teams to gather requirements and create customized data solutions.
- Optimize Databricks clusters for performance, reliability, and cost efficiency.
- Implement ETL processes to ensure data quality, security, and accuracy.
- Provide guidance on best practices for leveraging Databricks for analytics and data engineering.
- Troubleshoot and resolve issues in data workflows and platform configurations.
- Stay updated with the latest Databricks features and industry trends to recommend innovative solutions.
- Accountability –Finish what you started
- Communication–Context-aware, proactive, and clean communication
- Outcome –High throughput
- Quality –High-quality work and consistency
- Ownership –Go Beyond
Requirements
- Bachelor’s degree in computer science, Data Engineering, or a related field.
- 3+ years of experience in data engineering and pipeline development.
- Expertise in Databricks, Spark, and PySpark.
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Proficiency in programming languages such as Python or Scala.
- Strong knowledge of ETL processes, data integration, and data warehousing concepts.
- Exceptional problem-solving and analytical skills.
- Strong communication skills to effectively collaborate with cross-functional teams.
Good to Have:
- Databricks certifications (e.g., Databricks Certified Data Engineer Associate or Professional).
- Experience with data visualization tools such as Tableau or Power BI.
- Familiarity with data governance frameworks and security best practices.
Benefits
- 3-6 Contract (Renewable based on performance)
- Working Hours : 9 AM - 5 PM EST
- Visa Type: Authorized to work in the United States
Skills Required
- Bachelor's degree in computer science, data engineering, or a related field
- 3+ years of experience in data engineering and pipeline development
- Expertise in Databricks, Spark, and PySpark
- Hands-on experience with AWS, Azure, or Google Cloud
- Proficiency in Python or Scala
- Strong knowledge of ETL processes, data integration, and data warehousing concepts
- Exceptional problem-solving and analytical skills
- Strong communication skills for cross-functional collaboration
- Databricks certification, such as Databricks Certified Data Engineer Associate or Professional
- Experience with Tableau or Power BI
- Familiarity with data governance frameworks and security best practices
What We Do
The year was 2014. Software development was becoming increasingly commoditized. Speed and cost issues were taking priority over strategy, execution, and long-term scalability. Growth-stage companies were getting caught in the middle of it all. If they turned to one of the many smaller dev shops that emerged, they wouldn’t get the strategic capabilities and thinking needed to make their project successful. But if they went with a big consulting firm, the costs would be prohibitive. That’s when a group of consulting and technology veterans came together over a new idea for software development. They knew that developers would get better results if they had more time to think through their projects before rushing straight to coding. And they wanted to start an employee-focused company that was all about enabling developers to do their best work. So they created a new model for outsourced development where developers would spend 80% of their time thinking about the solution and 20% coding it. This would give smaller companies the strategic thinking needed to compete with much larger corporations. Today, thinkbridge is how mid-market companies turn into tech disruptors, drive growth, and increase their valuations. Middle market leaders are no longer stuck between the limitless costs of big consulting firms and the limited capabilities of smaller dev shops. With a unique “think bigger, move faster, go further” approach to technology innovation, thinkbridge has achieved a client NPS rating in the 90s and a client retention rate of over 90%. thinkbridge. There’s a new way there Think Bigger | Move Faster | Go Further
