Senior Big Data Engineer - Hadoop/spark/python @ Agrim orate

Desired Candidate Profile

Job Responsibilities :

- Responsible for 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 our brand and values

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 7 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)

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

- Should have good code review and debugging skills

Should have experience in azure

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

Education:

UG:   B.Tech/B.E. - Computers

PG:  M.Tech - Computers, MCA - Computers, MS/M.Sc(Science) - Computers

Doctorate:  Doctorate Not Required

Contact Details:

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Keyskills:   Hadoop Hive Java Spark Mapreduce Cloudera SCALA Hdfs MongoDB MySQL