Data Engineer

2 days ago

Hyderābād, IndiaMid Level

Responsibilities

Build new data acquisition and transformation pipelines using advanced data processing and cloud technologies.
Implement and maintain services and tools supporting existing data feed systems.
Design, manage, and optimize complex data pipelines, workflows, ETL processes, and data models.
Develop clean, modular, and testable code for data processing tasks.
Maintain and develop software in production environments using cloud-based tools.
Collaborate with information architecture, data integration, and broader technology teams to align pipelines with strategic initiatives.
Support scalable acquisition, ingestion, content management, mastering, and distribution of datasets.
Communicate technical concepts to non-technical stakeholders and work effectively with global teams.

Bachelor’s degree in computer science or a related field.
At least 4+ years of professional software development experience.
Proficiency in programming or scripting languages used for data processing, including object-oriented or functional languages.
Experience with data orchestration and workflow management systems, distributed data processing frameworks, and large-scale data processing platforms.
Strong understanding of RESTful services, API design, and object-oriented programming principles.
Good working knowledge of relational and NoSQL databases, including querying and data modeling.
Experience developing and maintaining production software using cloud-based tools.
Strong experience in distributed data processing, optimization, ETL pipeline design, and scalable data architecture.
Strong collaboration, teamwork, written communication, and verbal communication skills.
Agile experience is desirable.
Experience with data warehousing and analytics platforms is advantageous.
Experience with CI/CD pipelines, GitHub, and DevOps practices is required or strongly preferred.
Familiarity with data lake and data warehouse architectures is preferred.
Exposure to real-time data processing frameworks and observability tools such as Grafana is advantageous.

Health care coverage and wellness benefits.
Generous paid time off and flexible downtime.
Continuous learning and career development resources.
Competitive pay, retirement planning, continuing education, company-matched student loan contributions, and financial wellness programs.
Family-friendly benefits and perks.
Retail discounts and referral incentive awards.

Grafana