Bigdata Hadoop Developer- West Chester, PA (US) - Georgia IT Inc.
West Chester, PA
About the Job
Position-Bigdata Hadoop Developer- West Chester, PA (US)
Duration-12 months
Cleint-TCS
Pay Rate- Open
Technical/Functional Skills 8 yrs +
Advanced skills in MS Word and Excel
Roles & Responsibilities
Duration-12 months
Cleint-TCS
Pay Rate- Open
Technical/Functional Skills 8 yrs +
- EXCELLENT written, verbal and interpretation skills.
- 8+ years of programming experience in large relational database environments
- 6+ years of strong SQL (Oracle dialect preferred)
- 3+ years of SQL using Hadoop-based technologies (Hive, Spark, Impala.)
- 3+ years of scripting experience in Linux shell / python / Perl (understanding of Linux environment is a plus)
- Experience developing data pipelines for large-scale data sets a plus.
- Experience with streaming technologies such as Kafka and Spark Streaming a plus.
- Excellent understanding of relational database concepts, impact of various design on performance
- 3+ years of experience with data analysis, modeling, creating technical documentation
- Experience using Hadoop / Drill / Hive
- Experience with industry standard version control systems - like CVS or SVN or GIT
- Strong experience with data warehousing concepts and data modeling best practices.
- Strong knowledge of extremely large database optimization practices (indexing, partitioning, etc.) in Hadoop.
- Familiar with all aspects of Software Development Life-Cycle.
- Experience with other industry standard dashboard tools such as Tableau
- Ability to research and come up with innovative solutions to problems with little to no up-front information.
Advanced skills in MS Word and Excel
Roles & Responsibilities
- Interacting with IT Business Analysts and / or our business partners to acquire the information necessary for product design.
- Following written requirements to help design databases and develop dashboards to support our customers.
- Translating raw data from multiple sources (ETL) into a single dataset at aggregate levels necessary to meet project needs.
- Suggesting alternative ways to group, filter and sort aggregated data for optimal presentation and performance possibilities.
- Providing front-line production support by analyzing customer questions, evaluating data sets to explain end results or quickly adjust processes based on consumer demands.
Source : Georgia IT Inc.