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ETL Architect/Data Architect/Data Engineer/AWS Native Solution
Denver, CO
Denver
CO
80295
Date
: Sep-29-22
2022-09-29
2023-09-29
ETL Architect/Data Architect/Data Engineer/AWS Native Solution
Denver, CO
Sep-29-22
Work Authorization
US Citizen
GC
H1B
GC EAD, L2 EAD, H4 EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior
Rate/Salary ($)
:
75$/hr on C2C
Duration
:
10 to 12months
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Architect
Consulting / Contract
CONTRACTOR
Required Skills
:
Big Data, Data Architect, Data Engineer, ETL, IAM, JSON, Kafka, NoSQL, Python, SQL, XML
Preferred Skills
:
AWS, Spark Architecture
Domain
:
Work Authorization
US Citizen
GC
GC EAD, L2 EAD, H4 EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior
Rate/Salary ($)
:
75$/hr on C2C
Duration
:
10 to 12months
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Architect
Consulting / Contract
CONTRACTOR
Required Skills
:
Big Data, Data Architect, Data Engineer, ETL, IAM, JSON, Kafka, NoSQL, Python, SQL, XML
Preferred Skills
:
AWS, Spark Architecture
Domain
:
EPSoft
Dallas, TX
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Role & Responsibilities
12+ years of IT experience in Data Engineering, Data Quality, Data Migrations, Data Architecture, Data Lake formation and Data Analytics.
5+ Years hands on solid Experience on AWS services like S3, EMR, VPC, EC2, IAM, EBS, RDS, Glue, Lambda, Lake Formation etc.
Must have worked in producing architecture document for small to large solution implementations.
In depth understanding of Spark Architecture including Spark Code, Spark SQL, Data frames, Spark Streaming, Spark MLiB, etc. Experience on handing very high-volume streaming data in various format like JSON, XML, AVRO, Snappy etc.
Good Exposure to Kafka to design future capacity planning, partition Planning, Read and write
Must have worked with Big Data and should have good knowledge Mar reduce and Spark.
Must have very good working exposure on different kind of databases like RDBMS, No SQL Columnar, Document, distributed databases, Could Databases, in memory databases etc.
Python Exposure is an added advantage.
,
Vamshi Kumar Kanneboyena
IT Recruiter – USA
Desk: Ext:317
Client :
Dish/Tech M
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