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Data Engineer I

Work Your Magic with us!  

 

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.  

Job Title: Data Engineer

Job Location: Bangalore

 

 

In this role, you will be part of a growing, global team of data engineers, who collaborate in DevOps mode, in order to enable Life Science business with state-of-the-art technology to leverage data as an asset and to take better informed decisions.

 

The Life Science Data Engineering Team is responsible for designing, developing, testing, and supporting automated end-to-end data pipelines and applications on Life Science’s data management and analytics platform (Palantir Foundry, AWS and other components).

 

The Foundry platform comprises multiple different technology stacks, which are hosted on Amazon Web Services (AWS) infrastructure . Developing pipelines and applications on Foundry requires: 

 

  • Proficiency in SQL / Java / Python (Python required; all 3 not necessary)
  • Proficiency in PySpark for distributed computation
  • Familiarity with Postgres and Elasticsearch
  • Familiarity with HTML, CSS, and JavaScript and basic design/visual competency
  • Familiarity with common databases (e.g. JDBC, MySQL, Microsoft SQL). Not all types required
  • Familiarity with any cloud infrastructure/tools with respect to data engineering

 

This position will be project based and may work across multiple smaller projects or a single large project utilizing an agile project methodology.

 

Roles & Responsibilities: 

  • Develop data pipelines by ingesting various data sources – structured and un-structured – into Palantir Foundry
  • Participate in end-to-end project lifecycle, from requirements analysis to go-live and operations of an application
  • Acts as business analyst for developing requirements for Foundry pipelines
  • Review code developed by other data engineers and check against platform-specific standards, cross-cutting concerns, coding and configuration standards and functional specification of the pipeline
  • Document technical work in a professional and transparent way. Create high quality technical documentation
  • Work out the best possible balance between technical feasibility and business requirements (the latter can be quite strict)
  • Deploy applications on Foundry platform infrastructure with clearly defined checks
  • Implementation of changes and bug fixes via change management framework and according to system engineering practices (additional training will be provided)
  • DevOps project setup following Agile principles (e.g. Scrum)
  • Besides working on projects, act as third level support for critical applications; analyze and resolve complex incidents/problems. Debug problems across a full stack of Foundry and code based on Python with Spark
  • Work closely with business users, data scientists/analysts to design physical data models
     

Education 

  • B.Sc. (or higher) degree in Computer Science, Engineering, Mathematics, or related fields 

 

Professional Experience  

  • 5+ years of experience in system engineering or software development
  • 3+ years of experience in data and analytics.
  • 0-2 years of experience for intern in data analytis

 

Skills

Hadoop General

Deep knowledge of big data, distributed file system concepts, map-reduce principles and distributed computing.  Knowledge of Spark and differences between Spark and Map-Reduce.  Familiarity of encryption and security in a Hadoop cluster.

Application Development

 

Familiarity with HTML, CSS, and JavaScript and basic design/visual competency. Experience with any data visualization tool like Tableau is a plus.

Spark

Deep understanding of Apache Spark framework and proficiency in building spark pipelines.

Data management / data structures

Must be proficient in technical data management tasks, i.e. writing code to read, transform and store data

XML/JSON knowledge

Experience working with REST APIs

SCC/Git

Must be experienced in the use of source code control systems such as Git

ETL 

Experience with developing ELT/ETL processes with experience in loading data from enterprise sized RDBMS systems such as Oracle, DB2, MySQL, etc.

Authorization

Basic understanding of user authorization and authentication

Programming 

Must be at able to code in Python

Must have experience in using REST APIs

SQL 

Must be an expert in manipulating database data using SQL.  Familiarity with views, functions, stored procedures, and exception handling.

AWS 

General knowledge of AWS Stack (EC2, S3, EBS, …)

IT Process Compliance

SDLC experience and formalized change controls

Working in DevOps teams, based on Agile principles (e.g. Scrum)

ITIL knowledge (especially incident, problem and change management)

Languages 

Fluent English skills

 

Specific information related to the position:

  • Physical presence in primary work location (Bangalore)
  • Flexible to work CEST and US EST time zones (according to team rotation plan)
  • Willingness to travel to Germany, US and potentially other locations (as per project demand)

 

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
  Apply now and become a part of our diverse team!
Job Requisition ID:  281079
Location:  Bangalore
Career Level:  C - Professional (1-3 years)
Working time model:  Full-time

North America Disclosure
The Company is committed to accessibility in its workplaces, including during the job application process. Applicants who may require accommodation during the application process should speak with our Candidate Services team at 844-655-6466 from 8:00am to 5:30pm ET Monday through Friday. If you are a resident of a Connecticut or Colorado, you are eligible to receive additional information about the compensation and benefits, which we will provide upon request.  You may contact 855 444 5678 from 8:00am to 5:30pm ET Monday through Friday, for assistance.

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