Design and implement Databricks data pipelines, ETL processes, and large-scale data solutions. Collaborate with client technical teams, optimize clusters for performance and cost, troubleshoot workflows, ensure data quality and security, and advise on Databricks best practices and innovations.
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, proactive, and clean communication
- Outcome –High throughput
- Quality –High-quality work and consistency
- Ownership –Go Beyond
Requirements
Must-Have:
- 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
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