Lead Data Engineer- Tarrytown NY 10591 (Hybrid role 3 days onsite 2 days WFH)

Role : Lead Data Engineer Location : Tarrytown NY 10591 (Hybrid role 3 days onsite 2 days WFH) 6+ Months Must have AWS , Apache Airflow , Pyspark , Redshift JD

• Candidate should have 12+ years of experience in Data Engineering
• Designing, creating, testing and maintaining the complete data management & processing systems.
• Working closely with the stakeholders & solution architect.
• Ensuring architecture meets the business requirements.
• Building highly scalable, robust & fault-tolerant systems.
• Taking care of the complete ETL process.
• Knowledge of Hadoop ecosystem and different frameworks inside it HDFS, YARN, MapReduce, Apache Pig, Hive, Flume, Sqoop, ZooKeeper, Oozie, Impala and Kafka
• Must have knowledge and working experience in Real-time processing Framework (Apache Spark), PySpark and in AWS Redshift
• Must have experience on SQL-based technologies (e.g. MySQL/ Oracle DB) and NoSQL technologies (e.g. Cassandra and MongoDB)
• Should have Python/Scala/Java Programming skills
• Discovering data acquisitions opportunities
• Finding ways & methods to find value out of existing data.
• Improving data quality, reliability & efficiency of the individual components & the complete system.
• Creating a complete solution by integrating a variety of programming languages & tools together.
• Creating data models to reduce system complexities and hence increase efficiency & reduce cost.
• Introducing new data management tools & technologies into the existing system to make it more efficient.
• Setting & achieving individual as well as the team goal.
• Problem solving mindset working in agile environment