Data Engineer

2 months ago

delhi, India Straive Full time
Job Title: Data Engineer
Location: Remote
Job Type: Full-time
Years of Experience- 5-8 years
About Straive:
Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains.
Data Analytics & Al Solutions, Data Al 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 & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al 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 Al partner, they look to us for help in building data analytics and Al 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.
Website: /Objective:
We is looking for a Data Engineer with experience in building modern data platforms from the ground up. The successful candidate will build and maintain cloud-centric data processing capabilities that unleash the value of the League’s data assets to gain competitive advantage in the marketplace. They will be a hands-on contributor in the design and implementation of our cloud data platform that powers advanced analytics workloads.
The Data Engineer will work in an agile environment and will be responsible for building and maintaining data integration, ingestion, curation and pipeline orchestration capabilities. They are comfortable challenging assumptions to improve existing solutions and ensure the team is building the best scalable and cost-efficient product.
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.
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).
An expert in Python and SQL, including query optimization for relational, NoSQL and columnar databases.
Sound knowledge of CI workflows and build/test/deploy automation.
Strong understanding of data modelling 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.
A great teammate and self-starter, strong detail orientation is critical in this role.

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