Job Description :

- Must have sound knowledge of Hadoop architecture and Apache Spark framework

- Experience in Data ingestion services, Sqoop, Flume, Kafka, NiFi

- Must be familiar with Hortonworks, Cloudera and AWSAzureGCPDatabricks

- Familiarity with one or more SQL-on-Hadoop technology (Hive, Pig, Impala, Spark SQL, Presto).

- Strong hands-on experience in integrating multiple databases like Oracle, SQL Server, PostgreSQL, Teradata, SQL server etc.

- High-end Troubleshooting and Communication skills.

- Understanding of Apache SparkHadoop and the Data Analytics ecosystem.

- Experience with one or more relevant tools (Sqoop, Flume, Kinesis, Kafka, Oozie, Hue, Zookeeper, Ranger, Elasticsearch, Avro, Parquet).

- Writing high-performance, reliable and maintainable code. - Should have 1-2 yrs. of experience working on AWSAzureGCPDatabricks

- Should have strong knowledge of either of the programming languages (JavaPythonScala)

- At least one full project lifecycle with design and development experience in SCRUM or AGILE methodology

- Good experience in the development of cloud-native applications.

- Good understanding of the No-SQL database and Timeseries database.

- Should have very good communication skills and should interact with client stakeholders on daily basis & provides daily status updates to reporting leads.

- Experience on Jira tool

- At least one full project lifecycle with design and development experience in SCRUM or AGILE methodology

- Virtualization techniques - Dockerization and Kubernetes(Experience with docker environments) desired

- JavaJ2EE knowledge desired