Codavatar

Data Engineer

Codavatar

Data Engineer

Codavatar Tech Pvt. Ltd. is a high-performing technology company powered by a team of over 300 talented professionals, working together in a collaborative, flat-hierarchy environment. We operate from a 20,000 sq. ft. modern workspace, designed to foster creativity, agility, and innovation.We specialize in turning visionary ideas into tangible products — from Proof of Concept (POC) to Minimum Viable Product (MVP) — and serve as the development engine behind global platforms such as KrispCall, Dialaxy, and Tivazo.Codavatar has been recognized as the highest taxpayer in Nepal’s ICT export category, reflecting our leadership in driving digital services at a global scale. As an ISO 27001-certified company, we maintain world-class standards in information security and operational discipline.With over a decade of experience, our principle “Results by Technology” guides our mission to deliver measurable outcomes, continuously improve capabilities, and build long-term value for clients.We are an equal opportunity employer committed to diversity, inclusion, and a merit-based culture. We offer a growth-driven environment where everyone has a voice — regardless of background, gender, or role.At Codavatar, our people are our foundation. Our growth mirrors the growth of each individual, and we continuously seek out passionate, creative, and ambitious professionals ready to shape the future of technology.Join our journey — and grow with one of Nepal’s most dynamic tech companies.

Codavatar Tech Pvt. Ltd. is a high-performing technology company powered by a team of over 300 talented professionals, working together in a collaborative, flat-hierarchy environment. We operate from a 20,000 sq. ft. modern workspace, designed to foster creativity, agility, and innovation.We specialize in turning visionary ideas into tangible products — from Proof of Concept (POC) to Minimum Viable Product (MVP) — and serve …

Data Engineer

Views: 1367 | This job is expired 2 years, 1 month ago

Basic Job Information

Job Category : IT & Telecommunication
Job Level : Mid Level
No. of Vacancy/s : [ 1 ]
Employment Type : Full Time
Job Location : New Baneshwor, Kathmandu
Offered Salary : NRs. 80,000 - 120,000 Monthly
Apply Before(Deadline) : May. 25, 2023 23:55 (2 years, 1 month ago)

Job Specification

Education Level : Under Graduate (Bachelor)
Experience Required : More than or equal to 3 years
Professional Skill Required : Python Collaboration Analytical Problem Solving
Other Specification
  • Bachelor's/Master's degree in Computer Engineering or a related field.
  • Proven experience as a data engineer, software developer, or similar.
  • Expert proficiency in Python, C++, Java, R, and SQL.
  • Familiarity with Hadoop or suitable equivalent.
  • Excellent analytical and problem-solving skills.
  • A knack for independence and group work.
  • Scrupulous approach to duties.
  • Capacity to successfully manage a pipeline of duties with minimal supervision.

Job Description

  • Design and implement data collection, storage, and processing systems to ensure efficient and reliable data availability.
  • Develop and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources into the data warehouse.
  • Collaborate with cross-functional teams to define data requirements and implement tracking mechanisms to capture relevant data.
  • Optimize and tune data pipelines to ensure scalability, performance, and data quality.
  • Monitor and troubleshoot data pipeline issues and implement necessary fixes.
  • Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, CCPA).
  • Stay informed about the latest technologies and tools in data engineering and implement best practices.
  • Developing and maintaining data governance policies, standards, and best practices to ensure compliance and data integrity.
  • Documenting data engineering processes, system architectures, and data flows for reference and knowledge sharing.
  • Implementing data transformation processes to cleanse, filter, aggregate, and enrich the data as needed. 

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