Data Engineer

Overview

At Tribute Technology, we make end-of-life celebrations memorable, meaningful, and effortless through thoughtful and innovative technology solutions. Our mission is to help communities around the world celebrate life and pay tribute to those we love. Our comprehensive platform brings together software and technology to provide a fully integrated experience for all users, whether that is a family, a funeral home, or an online publisher. We are the market leader in the US and Canada, with global expansion plans and a growing international team of more than 400 individuals in the US, Canada, Philippines, Ukraine and India.

ABOUT YOU:

Tribute Technology is actively seeking a motivated an experienced Data Engineer with expertise in AWS and GCP to join our Data & Analytics team. Our Data & Analytics team drives innovation and excellence by harnessing data to deliver actionable insights across the organization.

As Data Engineer, you will play a crucial role in developing and enhancing our data pipelines, processes and visualizations as well as selecting fit for purpose tools to support our growing business needs. This is an exciting opportunity for a data enthusiast with a strong record of success in managing complex data initiatives. If you have a strong understanding of AWS and GCP and a passion for building data engineering projects, we want to hear from you.

Join us and be a part of our innovative and collaborative environment where your contributions will have a significant impact.

KEY RESPONSIBILITIES:

• Strong hands-on experience to design, build and maintain scalable and reliable data pipelines in AWS and GCP for a data lake environment.
• Define and enforce data governance frameworks to ensure security, integrity and compliance along with optimizing data pipelines for high performance, scalability and cost efficiency in cloud environments (AWS and GCP) and BI tools (Power BI, Looker).
• Collaborate with cross-functional teams to understand business requirements and translate them into data engineering solutions.
• Design and implement data pipelines and processes to integrate data from various sources into the data ecosystem.
• Improve data observability and ensure the team follows best practices.
• Ensure timely resolution for data pipeline issues implementing a monitoring and incident response strategy.
• Implement best practices for data governance, ensuring high data quality, consistency, and security across the data pipelines.
• Foster a collaborative environment, ensuring the team works cross-functionally with business stakeholders to deliver projects effectively.
• Create documentation of the pipelines, maintain data asset documentation and data product documentation to ensure visibility and discoverability of our data products.
• Review and weigh in on functional and technical requirements.
  
  
  

• Bachelor’s degree in computer science, Engineering or relevant field of study with 5 to 7 years of progressively technology experience.
• Design and implement cloud native data engineering solutions using core technologies in AWS services such as Glue, Lambda, S3, Athena, IAM roles/policies and Google Big Query.
• Experience in data engineering technologies such as Python, SQL, Spark, batch, real time streaming pipelines, data lakes and data warehouse solutions.
• Build and optimize ETL/ELT processes for both structured and unstructured data.
• Experience in using GitHub and CI/CD pipelines for code deployment.
• Proven data engineering experience in cloud environments.
• Experience in creating data products and/or data product environment.
  
  
  

• Competitive salary
• Fully remote across India
• An outstanding collaborative work environment