About thinkbridge
thinkbridge is how growth-stage companies can finally turn into tech disruptors. They get a new way there – with world-class technology strategy, development, maintenance, and data science all in one place. But solving technology problems like these involves a lot more than code. That’s why we encourage think’ers to spend 80% of their time thinking through solutions and 20% coding them. With an average client tenure of 4+ years, you won’t be hopping from project to project here – unless you want to. So, you really can get to know your clients and understand their challenges on a deeper level. At thinkbridge, you can expand your knowledge during work hours specifically reserved for learning. Or even transition to a completely different role in the organization. It’s all about challenging yourself while you challenge small thinking.
thinkbridge is a place where you can:
- 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.
thinkbridge.. there’s a new way there. ™
What is expected of you?
As part of the job, you will be required to
- 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.
If your beliefs resonate with these, you are looking at the right place!
- Accountability – Finish what you started.
- Communication – Context-aware, pro-active and clean communication.
- Outcome – High throughput.
- Quality – High-quality work and consistency.
- Ownership – Go beyond.
Requirements
Must have technical skills
- 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 Skills
- 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.
Other Details
- 3-6 Month's Contract (Renewable based on performance)
- Working Hours: 9 AM - 5 PM EST
- Visa Type: Authorized to work in the United States
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