
(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

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