Data Engineering Expert with Snowflake and Azure Data Factory

2 days ago

India thinkbridge Full time

We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines using modern data platforms such as Snowflake, Azure Data Factory (ADF), and AWS Redshift.

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 thinkers 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.

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.

The estimated salary for this position is $140,000 per year. This figure is based on industry standards and market rates for similar roles in the location. We offer a competitive compensation package, including remote work options, flexible working hours, no loss of pay for pre-approved leaves, family insurance, and quarterly in-person collaboration weeks.

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