Sr. Data Engineer

Pune, India    |     Other   |   Full-time
Job Reference: 2662 - Posted 15-Feb-2021

Experience : 5 to 9 yrs

Selection criteria: 3+ relevence exp in Bigdata, Spark, Hive , shell scripting, Python or Scala

Minimum 2 projects Development Bigdata

Stability in company Min 1.5 yrs = (No of yrs/ No of Company)

Data Engineer/ Big Data Engineer /Developer role:

Job Description:

We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.


         Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities

         Implementing ETL process(if importing data from existing data sources is relevant)

         Monitoring performance and advising any necessary infrastructure changes

         Defining data retention policies

         Skills and Qualifications

         Proficient understanding of distributed computing principles

         Management of Hadoop cluster, with all included services

         Ability to solve any ongoing issues with operating the cluster

         Proficiency with Hadoop v2, MapReduce, HDFS

         Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming

         Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala

         Experience with Spark

         Experience with integration of data from multiple data sources

         Experience with NoSQL databases, such as HBase, Cassandra, MongoDB

         Knowledge of various ETL techniques and frameworks, such as Flume

         Experience with various messaging systems, such as Kafka or RabbitMQ

         Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O

         Good understanding of Lambda Architecture, along with its advantages and drawbacks

         Experience with Cloudera/MapR/Hortonworks

         Good to have relevant Big Data certification