Big Data Architect

Spark, Scala/Pyspark, Hadoop ecosystem including Hive, Sqoop, Impala, Oozie, Hue, Java/ Python, SQL, Flume, bash 1. Mandatory Skills \u2013 Spark, Scala/Pyspark, Hadoop ecosystem including Hive, Sqoop, Impala, Oozie, Hue, Java/ Python, SQL, Flume, bash (shell scripting) 2. Secondary Skills \u2013 Apache Kafka, Storm, Distributed systems, good understanding of networking, security (platform & data) concepts, Kerberos, Kubernetes 3. Excellent understanding of distributed system architectures, in-depth knowledge on architecture and implementation of Hadoop Stack, Spark, Data warehousing concepts 4. Understanding of Data Governance concepts and experience implementing metadata capture, lineage capture, business glossary 5. Experience implementing CICD pipelines and working experience with tools like SCM tools such as GIT, Bit bucket, etc 6. Hands-on experience in writing data ingestion pipelines, data processing pipelines using spark and sql, experience in implementing SCD type 1 & 2, auditing, exception handling mechanism 7. Data Warehousing projects implementation with either Java, or Scala based Hadoop programming background. 8. Proficient with various development methodologies like waterfall, agile/scrum. 9. Exceptional communication, organization, and time management skills 10. Collaborative approach to decision-making & Strong analytical skills 11. Good To Have - Certifications in any of GCP, AWS or Azure, Cloudera 12. Work on multiple Projects simultaneously, prioritizing appropriately 13. Knowledge on pre-sales activities such as RFP response, estimation techniques, planning concepts is an added advantage