Senior Data Engineer

Senior Data Engineer (SDE)

(Hadoop, HDFS, Kafka, Spark, Hive)

Overall Experience - 8 to 12 years

Relevant exp on Big data - 3+ years in above

Salary: Max up-to 20LPA 

Job location - Chennai / Bangalore / 

Notice Period - Immediate joiner / 15-to-20-day Max 

The Responsibilities of The Senior Data Engineer Are:

- Requirements gathering and assessment

- Breakdown complexity and translate requirements to specification artifacts and story boards to build towards, using a test-driven approach

- Engineer scalable data pipelines using big data technologies including but not limited to Hadoop, HDFS, Kafka, HBase, Elastic

- Implement the pipelines using execution frameworks including but not limited to MapReduce, Spark, Hive, using Java/Scala/Python for application design.

- Mentoring juniors in a dynamic team setting

- Manage stakeholders with proactive communication upholding TheDataTeam's brand and values

A Candidate Must Have the Following Skills:

- Strong problem-solving ability

- Excellent software design and implementation ability

- Exposure and commitment to agile methodologies

- Detail oriented with willingness to proactively own software tasks as well as management tasks, and see them to completion with minimal guidance

- Minimum 8 years of experience

- Should have experience in full life-cycle of one big data application

- Strong understanding of various storage formats (ORC/Parquet/Avro)

- Should have hands on experience in one of the Hadoop distributions (Hortoworks/Cloudera/MapR)

- Experience in at least one cloud environment (GCP/AWS/Azure)

- Should be well versed with at least one database (MySQL/Oracle/MongoDB/Postgres)

- Bachelor's in Computer Science, and preferably, a Masters as well - Should have good code review and debugging skills

Additional skills (Good to have):

- Experience in Containerization (docker/Heroku)

- Exposure to microservices

- Exposure to DevOps practices - Experience in Performance tuning of big data applications