
Spark with Scala or Java Developer and Lead (NCS/Job/ 733)
For A Reputed Large Multinational Technology Company
4 - 10 Years
Full Time
Up to 30 Days
Up to 30 LPA
1 Position(s)
Chennai, Pune, Greater Noida
Posted By : Nilasu Consulting Services Pvt Ltd
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Job Skills
Job Description
Spark with Scala
B2 Band – 4yrs to 6yrs
B3 Band – 7yrs to 10yrs
Good to have experience on Snowflake, AWS - Data platform Cloud experience
- Overall 5+ Years of IT experience and 2+ Years of relevant experience with Big Data Technologies (such as – Spark Scala, Hadoop, Hive, HBase, Python, Kafka)
- Hands on experience in Basic & Advance Java
- Hands on experience in Apache Spark – Scala and deep understanding of distributed systems
- Hands on experience in Core Spark API and Spark Streaming APIs
- Relevant experience with handling different file formats – JSON, Avro, Parquet, CSV, XML, Text files
- Experience working with HDFS, Hive, S3, Mongo DB and SQL database integration
- Hands on experience in creating Scala/Spark Jobs for data transformation & aggregation
- Sound exposure to ETL pipelines implementation, batch scheduling and automation
- Proficient in writing hive queries and understand hive internals
- Have good work exposure with Data integration/Data acquisition framework or similar kind of framework
- Strong understanding of big data concepts and distributed computing
- Experience with source control management like git , bitbucket
- Familiar with all phases of development life cycle and agile development methodologies
- Excellent problem-solving skills and attention to details
- Strong communication and collaboration skills
- Strong exposure to Unix commands and Unix shell scripting
- Strong exposure to Oracle/SQL database
- Must be able to code, and assist of other team members
Spark + Java
B2 Band – 4yrs to 6yrs
B3 Band – 7yrs to 10yrs
- Design, code, test, document and implement application release projects as part of development team.
- Experience in programming/debugging used in business applications.
- Work with BA and understand all functional and technical requirements of the project.
- Spark 2.0 and above. Java 8 and above.
- Scala / Python, Hive / Oracle, Unix Shell Scripting.
- Agile methodologies
- Spring Boot and Rest API
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