Details:

• Do you feel passionately about solving problems through data? Have you spent 3+ years training aspiring data engineers?
• Do you aspire to take data engineering to millions of people out there? Do you enjoy helping people solve problems?
• If the answer to all the above questions is yes – look no further. Analytics Vidhya is looking for evangelists who can carry and deliver their baton to the world.
• You bring the passion and drive to do what has not been done in the past - we will provide you the platform to make a global impact and bring out the leader in you.

What should you expect while working with Analytics Vidhya?

• A team of best data professionals and thought leaders from industry.
• Disciplined entrepreneurship within the team. Each person is the 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.

Currently - you can be anywhere in the world. We would love to have you in our office in Gurgaon in post Corona world!

Min. Qualification:

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 Data Warehouse (RedShift) and DataLakes for an Organization
• Having deep experience in one of the Cloud providers - Azure or AWS or GCP.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra / MongoDB.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc
• Have ability to translate technical content into videos, tutorials, online courses
• Strong problem solving and communication skills (English).

Skills Required:

Spark, Kafka, Azure, Python, AWS

Roles:

Being a startup, the role would evolve over time. But, here are a few things you can expect:

• Delivering and creating content for offline and online trainings
• Set up Data Engineering labs for Analytics Vidhya
• Continuously learning new tools in Data Engineering and evangelizing them within our community
• Develop custom data models and algorithms to apply to real life use cases
• Leading industry events, meetups and webinars