thinkbridge | Senior Data Engineer
3 days ago
We are seeking a skilled Senior Data Enginee r with 4-6 years of experience specializing in modern data platforms such as Snowflake, Azure Data Factory (ADF) OR AWS Redshift to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, ensuring the efficient flow of data across the organization. This role requires strong problem-solving skills, attention to detail and experience in working with modern data engineering tools and platforms.
About think bridge:
think bridge 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 think bridge, 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.
think bridge 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.
think bridge…there’s a new way there. ™
What is expected of you?
As part of the job, you will be required to
Data Pipeline Design and Development:
- Build and manage scalable, reliable ETL/ELT pipelines to process structured and unstructured data.
- Use Azure Data Factory (ADF) to orchestrate data workflows and implement integration solutions.
- Leverage AWS Redshift and Snowflake to store and process large-scale datasets efficiently.
Data Modeling and Warehousing:
- Design and implement efficient data models and schemas for Snowflake and Redshift to support analytics and reporting needs.
- Optimize data warehouse performance, ensuring cost efficiency and scalability.
Data Integration and Migration:
- Perform data migration activities between on-premises systems and cloud platforms.
- Integrate data from diverse sources, including APIs, cloud storage, and legacy systems.
Performance Optimization:
- Monitor and fine-tune Snowflake, Redshift, and ADF workflows to enhance query performance and pipeline reliability.
- Troubleshoot issues related to data processing and platform performance.
Collaboration:
- Partner with Data Scientists, Analysts, and stakeholders to understand data requirements and provide actionable solutions.
- Collaborate with DevOps and cloud teams to manage infrastructure and automate deployments.
Documentation and Best Practices:
- Maintain thorough documentation of data pipelines, workflows, and system architecture.
- Follow data governance, security, and compliance standards across all projects.
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.
Requirement
Must-Have:
- Must have 4-6 Years of experience in ADF for scalable workflows.
- Should have experience in design efficient models and optimize performance in Snowflake and AWS Redshift.
- Hands on experience in migrate and integrate data from APIs, cloud storage, and legacy systems.
- Optimize pipelines and resolve processing issues.
- Work with cross-functional teams (Data Scientists, Analysts, DevOps).
- Strong communication skills for effective collaboration with cross-functional teams.
Our Flagship Policies and Benefits:
- Remote First
- Working hours 2.30 PM IST –11.30 PM IST (3 AM CST to 12 PM CST)
- No loss of pay for pre-approved leaves.
- Family Insurance
- Quarterly in-person Collaboration Week -WWW
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