Required Skills

Java Design Patterns Cloud Services RDBMS Hadoop Distributed Architecture Big Data Version Control System Big Data Developer Data Analytics Distributed Systems

Work Authorization

  • Citizen

Preferred Employment

  • Full Time

Employment Type

  • Direct Hire

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 29th Apr 2022


Professional Summary :

- Senior Big Data Developer with complete expertise in executing Data Engineering and Data Analytics projects from scratch.

- Around 8 years of experience in Software Development with strong focus on Big Data, Hadoop and Java.

- Strong expertise in Big Data ecosystem like Spark, Hive, Sqoop, HDFS, Map Reduce, Kafka, Oozie, Yarn, Hbase, Nifi.

- Strong expertise in building scalable applications using various programming languages (Java, Scala and Python).

- In depth Knowledge on Architecture of Distributed Systems and Parallel Computing.

- Experience implementing end to end data pipelines for serving reporting and data science capabilities.

- Experience in fine tuning applications written in Spark and Hive and to improve the overall performance of the pipelines.

- Developed production ready Spark applications using Spark RDD apis, Data frames, Datasets, Spark SQL and Spark Streaming.

- Strong experience working with various configurations of Spark like broadcast thresholds, increasing shuffle partitions, caching, repartitioning etc., to improve the performance of the jobs.

- In depth knowledge on import/export of data from Databases using Sqoop.

- Well versed in writing complex hive queries using analytical functions.

- Knowledge in writing custom UDF's in Hive to support custom business requirements.

- Solid experience in using the various file formats like CSV, TSV, Parquet, ORC, JSON and AVRO.

- Experience in using the compression techniques like Gzip, Snappy with in Hadoop.

- Strong knowledge of NoSQL databases and worked with HBase, Cassandra and Mongo DB.

- Experience in using the cloud services like Amazon EMR, S3, EC2, Red shift and Athena.

- Experience automating end-to-end data pipelines with strong resilience and recoverability.

- Worked on Spark Streaming and Structured Spark streaming including Kafka for real time data processing.

- Strong knowledge of version control systems like SVN and GITHUB.

- Involved in production monitoring using workflow monitor and experience in development and support environments.

- Experienced in using waterfall, Agile and Scrum models of software development process framework.

- Good level of experience in Core Java, J2EE technologies, JDBC, Servlets and JSP.

- Good knowledge in Oracle PL/SQL and shell scripting.

- Experience in design and development of Web forms using Spring MVC, Java Script, JSON and JQ plotter.

- Active team player with excellent interpersonal skills, keen learner with self-commitment& innovation.

- Ability to meet deadlines and handle pressure in coordinating multiple tasks in the work environment.

Technical Skills :

- Big Data Ecosystem: Spark, MapReduce, HDFS, HIVE, HBase, Pig, Sqoop, Flume, Oozie, Zookeeper, Spark, Hue, Cloudera (CDH), Hortonworks(HDP)

- Cloud Services: EC2, EMR, S3, Redshift, Athena, AWS ECS, Terraform, AWS Cloud Formation, AWS Cloud Watch,

- Relational Databases: Oracle 12c, MySQL, MS-SQL Server

- NoSQL Databases: HBase, Cassandra and MongoDB

- Version Control: GitHub, SVN

- Programming Languages: Java, Scala, Python, SQL, PL/SQL, Shell Scripting.

- Software Development: UML, Design Patterns (Core Java and J2EE), Software Development Lifecycle (SDLC), Waterfall Model and Agile, STLC

- Web Technologies: JavaScript, CSS, HTML and JSP.

- Operating Systems: Windows, UNIX/Linux, and Mac OS.

- Build Management Tools: Maven, Ant.

- IDE & Command line tools: Eclipse, IntelliJ, Toad and NetBeans.


Company Information