Senior Data Engineer /Senior Spark Developer

Geetha Technology Solutions private Ltd (CliqHR Recruitment Services)

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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

• Experience

  6 - 10 Years

• No. of Openings

  4

• Education

  Any Bachelor Degree

• Role

  Spark Developer

• Industry Type

  IT-Hardware & Networking / IT-Software / Software Services

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Office