Senior Data Engineer
19 hours ago
Cognizant is seeking a highly skilled and collaborative Senior/Lead Data Engineer with hands-on experience in Pyspark & Scala to join our thriving team in Sydney. This full-time role offers an attractive salary and benefits package.
Key Responsibilities- Design and build/configure Big data pipelines as per the design, working independently to identify and solve complex big data problems.
- Collaborate with Big data developers to report any issues in build and work on defect fixes during QA & UAT.
- Work through the life cycle of the code from low-level design to production and post-production support.
- Strong technical and analytic skills to solve complex big data problems.
- Experience with Spark software stack, including Python, Scala, and Java, and PySpark-based big data implementations.
- Strong knowledge and hands-on experience with HDFS, MapReduce, Hive, Impala, Tez, Sqoop, Pig, Oozie, HBase, Cassandra, MongoDB, Kafka, Spark, Storm, Knox, Ranger, Flume, NiFi, Falcon, Kerberos, Sentry, Cloudera Manager, Cloudera Navigator, and Ambari.
- Good experience in CICD & DevOps concepts and working in cloud environments (Azure/AWS/GCP) using Agile methodology.
If you're a motivated and experienced Data Engineer looking for a new challenge, please get in touch with Cognizant today.
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