Upwork is hiring Senior Data Engineer 2022
Job Responsibilities:
- Perform SaaS vendor evaluation and design scalable and manageable integration
- Develop a deep understanding of data sources, granularity, availability, and limitations
- Build maintainable, scalable data processing pipelines in PostgreSQL, Python, and other data processing language in the data platform running in AWS
- Operate and optimize the existing data pipelines that meet the data delivery and data quality service level agreement
- You will work with product engineering team to influence source system data models and data collection and instrumentation for data consumers need across the company
- Develop data processing technical strategy and be accountable for the execution roadmap
Upwork is the world’s work marketplace. We serve everyone from one-person startups to over 30% of the Fortune 100 with a powerful, trust-driven platform that enables companies and talent to work together in new ways that unlock their potential. Our talent community earned over $3.3 billion on Upwork in 2021 across more than 10,000 skills in categories including website & app development, creative & design, customer support, finance & accounting, consulting, and operations.
Location:
BangladeshBenefits
Check the official link
Eligibilities
- Proven track record and experience working in a data centric environment and be fluent in agile/scrum delivery model.
- Background in extracting/pulling data used for Marketing efforts
- Familiar with AWS and data management related service offerings
- Hands-on experience in Python and BI Visualization
- Knowledge and experience in Data Analysis
- Consistent track record of leading multiple work streams simultaneously in a fast-paced environment and partnering with multiple business partners
- Ability to handle high ambiguity use cases and set a clear direction and guide your team to solve complex problem domains.
- Deep understanding of data structures and data architecture with experience on microservices design data modeling and management approaches
- Analytical mindset with natural curiosity toward data and effective in communicating complex analyses.
- A consistent record of taking large data projects from ideation to implementation
- An authority on working with high volume, heterogeneous data using distributed or Massively Parallel Processing (MPP) databases
- Expert in writing Advanced SQL and, performance tuning of SQL
- Strong knowledge about data structure, data algorithm, data modeling, data access, and data storage techniques
- Solid experience in designing and building dimensional data models to improve data quality, accessibility, and usability
- Demonstrate strong understanding of development processes and agile methodologies
- Available to work during PST business hours (preferably 8AM – 3PM overlap)
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