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Data Engineer - India (Remote)

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Senior (5-10 years)
Work from: 
India

Offer summary

Qualifications:

Bachelor's or master's in computer science, 5 years experience as a Data Engineer, Proficient in AWS services, Experience with big data technologies, Knowledge of SQL and Python.

Key responsabilities:

  • Design scalable data pipelines on AWS
  • Collaborate with cross-functional teams
  • Optimize data workflows for performance
  • Maintain ETL processes for data integrity
  • Monitor and troubleshoot data pipelines
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Trust Payments
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Job description

About Us:

Trust Payments is a leading UK/EU Fintech. We provide a range of payments and commerce solutions, with market leading technology and data insights.

We provide innovative payment methods and technologies and have a truly global footprint. With over 500 people across 11 offices supporting the most demanding business sectors including retail, travel, hospitality, forex and financial services.

Driving value for our clients and demonstrating genuine care for their success, is a core value of ours. We also believe in striving to build a better, more sustainable tomorrow and believe in conducting our business ethically, driving social and environmental change.

We have a passionate, collaborative, and diverse culture that recognizes that every employee contributes to our business success.

Find out more at www.trustpayments.com.  

Trust Payments have an exciting opportunity for a Data Engineer to join their team.

Location: Remote - India - Bangalore

Salary: Competitive

Job Type: Full-time/ Permanent

Data Engineer – The Role:

We are looking for a skilled Data Engineer who will be responsible for designing, developing, and maintaining our data infrastructure, data assets on AWS cloud platform. The ideal candidate should have a strong background in data architecture, along with hands-on experience in building scalable and reliable data pipelines

Data Engineer – Key Responsibilities:

  • Design and implement scalable data pipelines to process and transform large volumes of data using AWS services such as Glue, Kafka, S3, EMR, Athena.
  • Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver solutions that meet business needs.
  • Optimize data workflows for performance, reliability, and cost-efficiency on AWS cloud platform.
  • Performance Tune ETL Pipelines, database queries.
  • Develop and maintain ETL processes to ensure data quality and integrity throughout the data lifecycle.
  • Implement best practices for data security, access control, and compliance in accordance with industry standards and regulations.
  • Continuously monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.
  • Stay updated with the latest AWS services and technologies and evaluate their potential for improving our data infrastructure.
  • Document data architecture, design decisions, and technical specifications for reference and knowledge sharing.

Data Engineer – You:

  • Bachelor's or master's degree in computer science engineering, or related field.
  • Proven experience as a Data Engineer or similar role, with at least 5 years of experience in building and maintaining data infrastructure on AWS cloud platform.
  • Strong proficiency in AWS services such as Glue, Redshift, Lambda, Athena, S3, Quick Sight etc.
  • Experience with big data technologies such as Hadoop, Spark, Kafka, etc.
  • In-depth knowledge of data architecture principles, data modelling, and database design.
  • Hands-on experience with SQL, Python, and any other programming languages for data manipulation and scripting.
  • Familiarity with DevOps practices and tools for CI/CD, infrastructure as code, and automated deployment.
  • Knowledge of machine learning concepts and techniques for data analysis and predictive modelling.
  • Excellent problem-solving skills and attention to detail, with a focus on delivering high-quality solutions.
  • Ability to work effectively in a fast-paced environment with tight deadlines and changing priorities.
  • Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.


Benefits (subject to local office benefits policy):
 
•   Opportunity to be part of a rapidly scaling and market leading Fintech business.
•   Flexible working
•   Health and Wellbeing ethos including regular wellness sessions, fitness and nutrition and other events as well as supported by internally qualified mental health first aiders
•   Family friendly enhanced benefits/policies
•   Pension, Healthcare, Life Assurance
•   Social events and team building
•   Celebrations
 
We understand the value that a diverse and inclusive working environment brings to Trust Payments. We celebrate the differences that people can bring through their cultures, backgrounds and perspectives. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or any other protected characteristic.
 
To submit your CV for this opportunity, please complete the application form and click 'Submit Application' now.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Data ArchitectureMachine LearningData ModelingDatabase DesignPython (Programming Language)Data PipelinesDevOpsAmazon Web ServicesBig Data AnalyticsData EngineeringSQL (Programming Language)

Other Skills

  • Detail Oriented
  • Problem Solving
  • Collaboration
  • Communication
  • Adaptability
Are you interested?

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