Requirements:

1. Bachelor/Master’s degree in Computer Science, Computer Engineering.

2. Skills: Python, Cloud Computing, MongoDB, NoSQL.

3. 8+ years of hands-on Experience with crafting and building large scale data pipelines in distributed environments with technologies such as Hadoop, Spark, Kafka, Hive etc.

4. Experience with NoSQL datastores like Cassandra, Elasticsearch, HBase, MongoDB.

5. Proven skills in designing, tuning & optimizing scalable, highly available distributed systems which can handle high data volumes.

6. Strong understanding of software engineering principles and fundamentals including data structures and algorithms.

7. Strong experience of working with API’s and integrating multiple applications together.

8. Proficient & hands-on in Python is a must.

9. Good Experience with modern engineering practices and technologies including CICD, Cloud native development, social coding (GitHub), chatbots and more.

10. Good data modelling experience to address scale and read/write performance.

Responsibilities:

1. Practice Development

2. Work with DE Practice Lead and clients to understand business problems, industry context, data sources, potential risks, and constraints.

3. Collaborate with Leadership – provide meaningful and credible feedback on Data Engineering capabilities, data availability, and customer trend information.

4. Actively mentor and coach the team and help them realize the best solution to a problem

5. Facilitating, guiding, and influencing the clients and teams towards right information technology architecture and becoming interface between Business leadership, Tech leadership and the delivery teams

6. Provide best practice advice to customers and team members

7. Create an ecosystem that fosters innovation and encourages members of the CoE to build innovative solutions and publish papers/content in public domain.