Build and lead a high performance engineering team.
Build data pipelineincluding data creation, ingestion, management, and client consumption.
Build, own and support scalable, global and extremely high performance systems.
Recruit and retain excellent engineers, inspire them to hit short-term targets and lead them in planning for long-term growth.
Roadmap planning, Project and Resource management.
Participation in products technical design and architecture.
Stake holder and peer communication.
B.E or higher degree in Computer Science or equivalent.
5+ years of experience in designing and developing software.
2+ years of experience in building data pipelines and ETL process.
3+ years of experience managing a team of engineers.
Ability to architect, design and develop complex systems.
Good communication skills.
Expertise building pipe lines using big data technologies, databases and tools HDFS, YARN, Sqoop, Hive, Spark.
Backend experience with RESTful API and RDBMS (MySQL, PostgreSQL, SQLite, etc.)
Knowledge of other industry ETL tools (including No SQL) such Cassandra / Drill / Impala / etc. is a plus.
Creative problem solving skills, debugging and troubleshooting skills
Be a role model for engineers on the team, providing timely coaching and mentoring to all.
Passion for ensuring high quality architecture and customer experience.
Data sciences background is a big plus.