Job ID:
J37353
Job Title:
Sr. Hadoop/ETL Developer
Location:
West Chester, PA
Duration:
12 Months + Extension
Hourly Rate:
Depending on Experience (DOE)
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later
Employment Type:
W-2, 1099, C2C
Job Description:
Technical/Functional Skills
1. EXCELLENT written, verbal and interpretation skills.
2. 8+ years of programming experience in large relational database environments
3. 6+ years of strong SQL (Oracle dialect preferred)
4. 3+ years of SQL using Hadoop-based technologies (Hive, Spark, Impala.)
5. 3+ years of scripting experience in Linux shell / python / Perl (understanding of Linux environment is a plus)
6. Experience developing data pipelines for large-scale data sets a plus.
7. Experience with streaming technologies such as Kafka and Spark Streaming a plus.
8. Excellent understanding of relational database concepts, impact of various design on performance
9. 3+ years of experience with data analysis, modeling, creating technical documentation
10. Experience using Hadoop / Drill / Hive
11. Experience with industry standard version control systems - like CVS or SVN or GIT
12. Strong experience with data warehousing concepts and data modeling best practices.
13. Strong knowledge of extremely large database optimization practices (indexing, partitioning, etc.) in Hadoop.
14. Familiar with all aspects of Software Development Life-Cycle.
15. Experience with other industry standard dashboard tools such as Tableau
16. Ability to research and come up with innovative solutions to problems with little to no up-front information.
17. Advanced skills in MS Word and Excel
Experience Required 10 yrs +
Roles & Responsibilities
1. Interacting with IT Business Analysts and / or our business partners to acquire the information necessary for product design.
2. Following written requirements to help design databases and develop dashboards to support our customers.
3. Translating raw data from multiple sources (ETL) into a single dataset at aggregate levels necessary to meet project needs.
4. Suggesting alternative ways to group, filter and sort aggregated data for optimal presentation and performance possibilities.
5. Providing front-line production support by analyzing customer questions, evaluating data sets to explain end results or quickly adjust processes based on consumer demands.
6. Working independently and with groups while engaging in multiple initiatives simultaneously in a fast paced IT environment.
7. Resolving business process conflicts as they relate to project specifications.
8. Reporting project statuses to IT Management staff as required
if interested reply back to me with following details:
DATA SCIENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DATA SCIENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DATA SCIENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract