Senior Data Engineer

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: 

1. Think bigger – because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues. 
   
2. 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. 
   
3. 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? 

• Design, develop, and maintain scalable data pipelines and analytics solutions 
  
• Collaborate with stakeholders to gather requirements and translate business needs into technical solutions 
  
• Develop efficient code with unit testing and code documentation   
  
• Ensuring accuracy and integrity of data and applications through analysis, coding, documenting, testing, and problem solving 
  
• Optimize and fine-tune data models, SQL queries, and transformations for performance and scalability 
  
• Design, develop, and maintain scalable data models and transformations in conjunction with Snowflake, ensure the effective transformation and load data from diverse sources into data warehouse or data lake. 
  
• Integrate FiveTran connectors to streamline data ingestion from various sources into Snowflake 
  
• Develop custom Python scripts and functions to automate data workflows and enhance system capabilities 
  
• Collaborate with data engineers to automate and orchestrate data pipelines. 
  
•  Provide technical expertise and support to resolve data-related issues and troubleshoot system failures 
  
• Collaborate with the API development team to integrate data pipelines with external systems and applications 
  
• Implement techniques for query optimization, caching, and workload management. 
  
• Perform regular audits and troubleshooting to maintain system performance. 
  
• Implement and manage data security measures, including access controls, encryption, and data masking. 
  
• Ensure compliance with data governance policies and regulatory requirements. 
  
• Communicate with all the project stakeholders on the project status 
  
• ​Lead and participate in initiatives to enhance data platform capabilities and performance. 
  
• Stay updated on emerging trends and technologies in data engineering, cloud computing, and analytics domain 
  

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. 
  

• Bachelor's degree in computer science, Engineering, or a related field 
  
• Proven experience of at least 5 years as a data engineer, ETL developer, or similar role, with a focus on Python and Snowflake 
  
• Strong proficiency in SQL and database concepts, with hands-on experience in Snowflake data warehouse 
  
• Strong proficiency in programming languages such as Python for data manipulation, automation, and scripting. Expertise in Azure durable functions 
  
• Knowledgeable in relational databases, nonrelational databases, data pipelines (ELT/ETL), and file stores 
  
• Knowledgeable in performance tuning and optimization 
  
• Experience with cloud platforms like Azure and tools like Azure OCR for data extraction and processing 
  
• ​Familiarity with data integration tools like FiveTran 
  
• Knowledge of API development principles and experience integrating data pipelines with external systems 
  
• Familiarity with CI/CD pipelines and version control systems (e.g., Git). 
  
• Proficient in written, verbal and presentation communication (English) 
  
• Ability to work effectively in a fast-paced, collaborative environment and manage multiple priorities 
  
• Excellent analytical, problem-solving, and communication skills 
  
• Ability to work effectively in a fast-paced, collaborative environment and manage multiple priorities 
  
• Snowflake certification (SnowPro Core, SnowPro Advanced)