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
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