Data Engineer

1 week ago

Delhi, Delhi, India NewPage Solution Inc Full time
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 recognized by

'CIO's 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 client's business challenges.

As part of our team, you will enjoy an employee-centric culture, supportive peers, work-life 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 cutting-edge 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.
Hands-on experience with Kafka and real-time processing frameworks.
Expertise in managing infrastructure with IaC tools (we are using Terraform);
Good at leading large-scale 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 Upper-Intermediate solid.
How to reach us?
Find us on

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