Data Engineer

Data Engineer

About Doceree

 

Doceree is a growing AdTech start-up delivering innovative solutions. As the first global network of physician-only platforms for programmatic messaging, Doceree is transforming the digital communication landscape in the global healthcare industry. Doceree provides the most comprehensive solution to Healthcare and Lifesciences advertisers to reach the target audience in the most effective and efficient way through programmatic digital advertising.

 

Our Core Belief

 

Technology can connect the fragmented healthcare ecosystem to deliver information when it is most needed to improve patients’ outcomes.
We are expanding our footprints across the globe and enhancing our services, offering, and developing new products and solutions to address the unmet needs of industry. Doceree is operating in 22 countries currently with offices in NY, India and London.

 

Purpose of the Job

 

As a Data Engineer, you will collaborate with data scientists to leverage collected data and manage the data infrastructure. Your role involves developing, testing, and maintaining data architectures and pipelines. Additionally, you’ll align these structures with business requirements, ensure timely data acquisition, and enhance data reliability and efficiency. You’ll also contribute to analytics programs, machine learning, and predictive modeling while automating tasks and delivering updates to stakeholders.

 

Key Responsibilities

 

  • Play the role of a data engineer generalist and a pipeline centric development, work alongside data scientists to help make use of the data they collect and own the data infrastructure.
  • Develop, construct, test and maintain architectures and data pipelines.
  • Align architecture with business requirements
  • Ensure 100% on time data acquisition
  • Develop data set processes, data schema improvements or creating new ones Identify ways to improve data reliability, efficiency, and quality.
  • Conduct research for industry and business questions.
  • Simplify or configure from scratch new CI CD pipelines that align with your data architecture.
  • Deploy sophisticated analytics programs, machine learning and statistical methods.
  • Prepare data for predictive and prescriptive modelling.
  • Use data to discover tasks that can be automated.
  • Deliver updates to stakeholders based on analytics.

Qualifications Requirement: Experience, Skills & Education

  • 3+ years working on building, maintaining and managing ETLs
  • 4+ years working on SQL and NoSQL DB experience, preferably MongoDB and Hadoop for NoSQL preferred. Strong understanding of HDFS, MapReduce is a must.
  • Should have handled large datasets and pipelines
  • Strong understanding for cloud data warehousing tools like Snowflake
  • Worked with schedulers like Apache AirFlow, Snow Pipe etc.
  • Minimum 3 years working on Apache Spark handling big data, worked in a big data cloud infrastructure.
  • Strong knowledge of working on Kafka topics, KSQLDB. Will be great to have the knowledge of Confluent cloud and their managed kafka ecosystem.
  • Experience working on AWS Redshift, EKS & data lake.
  • Experience working with Data Scientists, deploying data models and ETL.
  • Has communication, collaboration and presentation skills
  • Experience on Hadoop, HBASE is an added value.
  • A sound understanding of HTTP/2 and REST-style web services.
  • Experience or working knowledge of Prometheus, NewRelic, Grafana etc.
  • Experience writing Microservices and AWS or Google Cloud is a must – Highly important.
  • Understanding of Boto3 or Google API is extremely important.
  • Experience in building and supporting high-performance applications – Good have working experience with any in memory caching like Redis.
  • Most importantly has a lot of fun building products, solving problem and being a part of a team.

Why Explore a Career at Doceree

Be a Part of the Revolution in Healthcare Marketing. Innovate with Us to Unite and Transform the Healthcare Providers (HCPs) – Ecosystem for Improved Patient Outcomes.

Doceree has been recognized and certified two times in a row – Best places to work NJ 2023, Great Place to work 2023.

If you are passionate about health technology and have a knack for turning complex concepts into compelling narratives, we invite you to apply for this exciting opportunity to contribute to the success of our innovative health tech company.

 

Doceree India Benefits
Below are the competitive benefits that will be provided to the selected candidates basis their location.

  • Competitive Salary Package
  • Generous Leave Policy
  • Flexible Working Hours
  • Performance-Based Bonuses
  • Health Care Benefits

Doceree DEI Vision & Mission

Doceree DEI (Diversity, Equity & Inclusion) is to create and sustain a one team culture globally with a mission to provide equal opportunity to people from diverse social, cultural, physical and psychological backgrounds and do not discriminate on the basis of race, colour, religion, national origin, sex, age, citizenship status, disability status, genetic information, sexual orientation, or gender identity or expression of an otherwise qualified individual, or membership in any other class protected by applicable law.
Doceree fosters an inclusive culture by inculcating a sense of belonging within our ONE team through appropriate behaviours, policies and systems, while also being fair to one and all.
To support this Doceree has taken formal strides with a 5C model and 4E’s pledge, to ensure, encourage and exhibit our commitment to DEI, and move towards our DEI vision. Please click to know more details – Doceree Progresses Diversity, Equity and Inclusion in the Workplace –

DRIVEN BY PASSION, UNITED BY ENTHUSIASM

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