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Sr. Data Engineer - Data Analytics

Role overview

Qualifications

  • Bachelor's degree in a technical field (e.g. computer science or mathematics)
  • 3+ years experience with real-time, event driven architecture
  • 3+ years experience with a modern programming language such as Scala, Python, Go, Typescript
  • Experience of designing complex data processing pipeline

Responsibilities

  • Have key responsibilities within the requirements analysis, scalable low latency streaming platform solution design, architecture, and end-to-end delivery of key modules
  • Write clean scalable code using Go, Typescript / Node.js / Scala / python / SQL and test and deploy applications and systems
  • Solve our most challenging data problems, in real-time, utilizing optimal data architectures, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Mentor team members through giving and receiving actionable feedback

About the company

RS Consulting logo

RS Consulting

Staffing & Recruiting

We are built to hire better, faster... With proven research methodology and over 13 years in the business, we are experts in finding candidates for hard to close positions. Are you facing challenges finding the best talent for the job? Contact us today!

Company details

Company typeSME
IndustryStaffing & Recruiting
Company size51 - 200

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Job description

Company Description

An MNC servicing their clients in Digital Transformation journey.

Job Description

We are looking for a Sr. Data Engineer for an International client. This is a 100% remote job. The person will be working from India and will be collaborating with global team. 

Total Experience: 7+ Years

Your role

  • Have key responsibilities within the requirements analysis, scalable & low latency streaming platform solution design, architecture, and end-to-end delivery of key modules in order to provide real-time data solutions for our product
  • Write clean scalable code using Go, Typescript / Node.js / Scala / python / SQL and test and deploy applications and systems
  • Solve our most challenging data problems, in real-time, utilizing optimal data architectures, frameworks, query techniques, sourcing from structured and unstructured data sources.
  • Be part of an engineering organization delivering high quality, secure, and scalable solutions to clients
  • Involvement in product and platform performance optimization and live site monitoring
  • Mentor team members through giving and receiving actionable feedback.

Our tech. stack:

  • AWS (Lambda, SQS, Kinesis, KDA, Redshift, Athena, DMS, Glue,Go/Typescript, Dynamodb), Airflow, Flink, Spark, Looker, EMR
  • A continuous deployment process based on GitLab

A little more about you:

  • A Bachelor's degree in a technical field (eg. computer science or mathematics). 
  • 3+ years experience with real-time, event driven architecture
  • 3+ years experience with a modern programming language such as Scala, Python, Go, Typescript
  • Experience of designing complex data processing pipeline
  • Experience of data modeling(star schema, dimensional modeling etc)
  • Experience of query optimisation
  • Experience of kafka is a plus
  • Shipping and maintaining code in production
  • You like sharing your ideas, and you're open-minded

Why join us?

🚀 Key moment to join in term of growth and opportunities

💆‍♀️ Our people matter, work-life balance is important

📚 Fast-learning environment, entrepreneurial and strong team spirit

🌍 45+ Nationalities: cosmopolite & multi-cultural mindset

💶 Competitive salary package & benefits (health coverage, lunch, commute, sport

DE&I Statement: 

We believe diversity, equity and inclusion, irrespective of origins, identity, background and orientations, are core to our journey. 

Qualifications

Hands-on experience in Scala / Python with Data Modeling, Real Time / Streaming Data. Experience of complex data processing pipeline and Data Modeling.

BE/ BTech in Computer Science

Additional Information

You can be based out of any part of India. This is a 100% Remote job.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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