Job description
Senior Data engineer
Role:
10+ years hands on experience in software development.
Strong in algorithms and data structures, knowledge of Object-oriented design, Design Patterns
Multi-threaded programming
Strong troubleshooting, debugging, and analytical skills.
Google cloud development experience
Mandatory Skills
SQL skills (BQ, Hive and Spark)
Spark jobs debugging and tuning
Python, PySpark
Good architecture skills to understand end to end flows/data pipelines
-big data architecture, hadoop, hive, Sql, and airflow
Knowledge of Unix, Github
Secondary skills
Client stakeholder management
Offshore team and delivery management
Certification in relevant skills
Responsibilities
The candidate must have complete understanding with hands-on experience in design, coding, and testing aspects
Design, implement, and support multi-tier software applications, document and test systems, modify as necessary
Work independently and with other engineers, and Ops teams, design and develop strategic and tactical processes, and create solutions that meet business requirements.
Demonstrate thought processes in solving business and technical problems. Design and code should be easy to maintain, available, performing well, and can be reused across a sub-system or feature. Code may persist for the lifetime of a software version.
Own to deliver very high-quality code that is thoroughly tested and is supported by unit tests for a flawless execution
Can be relied on to deliver features and sub-systems on time and to requirements
Works well within a team and contributes effectively to the success of those they interact with regularly.
Education:
Bachelors degree in computer science, Software Engineering, MIS or equivalent combination of education and experience
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.