Data Engineer
Posted on :
05-06-2024
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Job Description
Who Are We
NewPage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing the health and optimizing the longevity of people. We do this by passionately building futuristic technologies for global organizations across the healthcare ecosystem. We partake at every stage from problem definition strategy & service design user research UX design and agile software development utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation.
NewPage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing the health and optimizing the longevity of people. We do this by passionately building futuristic technologies for global organizations across the healthcare ecosystem. We partake at every stage from problem definition strategy & service design user research UX design and agile software development utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation.
NewPage is recognized by CIOs Review as Top 50 Promising Healthcare Solution Providers and Great Place to Work Certified (GPTW) 2023 and 2024.
What We Offer
We are shaping a company that works smart and grows with agility.
- We offer you a flexible and remote work environment where you will engage with intelligent colleagues seamlessly collaborating to develop inventive technologies that solve our clients business challenges.
- As part of our team you will enjoy an employeecentric culture supportive peers worklife balance generous earnings and opportunities for growth and development.
Whom do We Need
We are seeking an experienced Data Engineer with over six years of expertise in data platforms and lakes particularly with Snowflake and AWS. Proficiency in Python RDBMS NoSQL databases and Kafka is essential. The candidate will design and optimize data pipelines architecture and storage for data lakes and warehouses. They should excel at automating processes and optimizing data delivery with experience in infrastructure management using Terraform. Responsibilities include monitoring query performance collaborating with stakeholders to provide data solutions and mentoring a team of data professionals. Strong project management skills and solid English proficiency are also required to lead global data warehousing and analytics projects.
Roles & Responsibilities
- Build and maintain a cuttingedge data platform using technologies such as Snowflake Python and AWS services.
- Build and optimize data pipelines architecture and data sets supporting data transformation data structures metadata dependency and workload management.
- Design data storage layer for both data lake and data warehouse.
- Identify opportunities for internal process improvements such as automating manual processes optimizing data delivery and infrastructure scalability.
- Monitor the health and performance of queries.
- Collaborate with Data Engineers and other stakeholders to understand their requirements provide data solutions and effectively communicate insights or findings derived from Data.
- Mentor a team of data professionals providing guidance support and fostering a collaborative work environment
Qualification & Requirements
- 6 years of experience as a Data Engineer.
- Understanding of modern Data Platforms and Data Lakes.
- Proficient in a cloud DWH Snowflake.
- Deep expertise in software engineering (Python).
- Competent in RDBMS and NoSQL Dbs.
- Knowledge and practical experience with AWS serverless services.
- Handson experience with Kafka and realtime processing frameworks.
- Expertise in managing infrastructure with IaC tools (we are using Terraform);
- Good at leading largescale global data warehousing and analytics projects.
- Understanding of database and analytical technologies in the industry including MPP and data Warehouse design.
- English at least an UpperIntermediate solid.
How to reach us
Find us on
Employment Type
Full Time
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
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