Senior Data Engineer – Spark/Hadoop/Big Data (5-9 yrs) Gurgaon/Gurugram

Urgent
Posted 4 months ago
Application deadline closed.

Job Description

Senior Data Engineer – Spark/Hadoop/Big Data (5-9 yrs) Gurgaon/Gurugram

Stalwart People Co.

Designation : Sr.Data EngineerLocation : Gurgaon/GurugramIndia’s largest Analytics and Edtech organisation is looking for a Sr. Data Engineer to join our core team. The role will enable you to teach and democratize Data Engineering to millions of users across the globe.- A team of best data professionals and thought leaders from the industry.- Disciplined entrepreneurship within team. Each person is owner of his own work – you set the milestones, the pace and the achievements.- High standards, deep passion for data products and a commitment to find out ways to make things work.This role is best suited for :- Person with 5+ years of experience in Big Data and Data Engineering in companies dealing with huge datasets.- Prior experience with training will be an advantage.- Having experience in Data Engineering technologies like Apache Spark, HBase, Hadoop, MapReduce, HDFS, Hive, YARN, Kafka, Zookeeper, Java, Python and Scala- Experience with setting up and maintaining Dataware house… (RedShift) and DataLakes for an Organization- Having deep experience in one of the Cloud providers – Azure or AWS.- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra / MongoDB.- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.- Having a good understanding of machine learning landscape and concepts- Have the ability to quickly grasp new technologies and products and create training programs to increase adoption- Have the ability to translate technical content into videos, tutorials, online courses- Strong problem solving and communication skills (English).What is the role?- Defining and leading our strategy in making data engineering skills accessible for our community members- Continuously learning new tools in Data Engineering and evangelizing them within our community- Leading industry events, meetups and webinars- Develop custom data models and algorithms to apply to real life use cases. (ref:hirist.com