Data Architect

1 month ago

Delhi, Delhi, India Straive Full time
About Straive

Straive is a leading Content and Data Technology company providing data services, subject matter expertise, and technology solutions to multiple domains.

Data Analytics & AI Solutions, Data AI Powered Operations, and Education & Learning form the core pillars of the company's long-term vision.

The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences, and logistics.

Straive continues to be the leading content services provider to research and education publishers.

Data Analytics & AI Services

Our Data Solutions business has become critical to our clients' success.

We use technology and AI with human experts in loop to create data assets that our clients use to power their data products and their end customers' workflows.

As our clients expect us to become their future-fit Analytics and AI partner, they look to us for help in building data analytics and AI enterprise capabilities for them.

With a client base scoping 30 countries worldwide, Straive's multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore.

Job Requirements

  • Develop, test, and deploy software to generate data assets (relational, non-relational) for use by downstream BI engineers and data scientists
  • Work with big data and cloud technologies such as EC2, Lambda, AWS Glue, Airflow, dbt, Redshift, etc.
  • Work closely with stakeholders to ensure successful data asset design and development
  • Create software artifacts and patterns for reuse within the Data Engineering team
  • Ensure data pipelines are scalable, resilient, and produced with the highest quality standards, metadata, and validated for completeness and accuracy
  • Work on a cross-functional Agile team responsible for end-to-end delivery of business needs
  • Help improve data management processes - acquiring, transforming, and storing massive volumes of structured and unstructured data
  • Work closely with development teams to learn about needs, current processes, and to promote best practices

Required Qualifications

  • University degree in Computer Science, Mathematics, Engineering, or related field
  • 5+ years of experience in software engineering with strong focus on data
  • Experience working with Cloud data platforms, preferably AWS (Lambda, Step Functions, S3, AWS Glue, Athena, Redshift)
  • Expert in Python and SQL, including query optimization for relational, NoSQL, and columnar databases
  • Solid knowledge of CI workflows and build/test/deploy automation
  • Strong understanding of data modeling concepts and best practices
  • Relevant experience with IaC (Terraform, CloudFormation)
  • Relevant experience with modern big data processing and orchestration tools such as dbt and Airflow

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