Cloud Data Engineering Specialist

4 days ago

Gurgaon, Haryana, India Straive Full time
About Straive

We are a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains.

Our core pillars are Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning. We provide specialized solutions to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Our content services for research and education publishers are in high demand.

Data Analytics & Al Services

We leverage technology and Al with human experts-in-loop to create data assets that our clients use to power their data products and end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities.

With a client-base spanning 30 countries worldwide, our multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and Singapore.

Job Title: Cloud Data Engineer

We are seeking a skilled Cloud Data Engineer to build and maintain cloud-centric data processing capabilities that unleash the value of our data assets to gain competitive advantage in the marketplace.

This role involves working in an agile environment and being responsible for building and maintaining data integration, ingestion, curation, and pipeline orchestration capabilities.

The successful candidate will be a hands-on contributor in the design and implementation of our cloud data platform that powers advanced analytics workloads.

Responsibilities:
  • 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.
  • Collaborate 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.
  • Participate in a cross-functional Agile team responsible for end-to-end delivery of business needs.
Required Qualifications & Experience:
  • University degree in Computer Science, Mathematics, Engineering, or related field.
  • 5+ years of experience in software engineering with a strong focus on data.
  • Experience working with Cloud data platforms, preferably AWS (Lambda, Step Functions, S3, AWS Glue, Athena, Redshift).
  • An expert in Python and SQL, including query optimization for relational, NoSQL, and columnar databases.
  • Solid knowledge of CI workflows and build/test/deploy automation.
  • A strong understanding of data modeling concepts and best practices.
  • Relevant experience with Infrastructure-as-Code (IaC) tools like Terraform or Cloud Formation.
  • Relevant experience with modern big data processing and orchestration tools such as dbt and Airflow.

Our estimated salary range for this position is $120,000-$180,000 per annum, depending on location and experience.

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