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Required Experience: 6 - 10 years of Data Engineering experience
Notice period: Immediate to 15 Days
Job Location : Hyderabad
Notice period: Immediate to 15 Days
Required Skill:
Expertise in Spark & SQL and should have worked with high amounts of data
Excellent in OOPS and languages like Java / Python
Knowledge of DeltaLake (Databricks or open source) is an advantage
Well versed with knowledge of Data warehousing concepts including: SCDs, star schema, hierarchy, aggregation and well versed in Performance Tuning Techniques
Should have good exposure to Design, development and monitoring team development activities and their code reviews as well.
Function as a lead- they will be managing 3-5 developers under them and should be okay to get deeper and solve the code and bug fixes of their developers.
Good understanding of Kafka, Kafka brokers, connect and cluster processing
Experience with Big data ecosystem (Hadoop, Hive, Sqoop, Pig, Streaming), relational DBs (MS SQL, PostgreSQL, DB2, Oracle) and NoSQL databases
Write effective, scalable code. Experience in writing solid unit tests and integration tests. Work independently in a fast paced, Agile environment.
Considerable experience in managing Testing activities performance testing, defect tracking, root cause analysis of defects, support UAT and facilitate UAT sign off.
Experience developing solutions hosted within key major cloud providers using Mesos, Kubernetes. Good understanding of how to deploy services onto cloud - AWS or Google Cloud Platform or any other cloud.
Knowledge of Google Cloud Platform GCS, BigQuery, Dataproc, Pub/Sub is a plus
Develop / review technical specifications and design documents