Overview
On Site
Full Time
Skills
Informatica
Data Integration
Interfaces
Salesforce.com
Data Validation
Process Optimization
Data Engineering
Data Processing
Apache Spark
Amazon Web Services
Electronic Health Record (EHR)
Data Modeling
Performance Tuning
Extract
Transform
Load
Amazon Redshift
SAP MM
Job Details
A client of Sharp Decisions if looking for an AWS/ Informatica Data Engineer. This role is ONSITE in Torrance, CA with an initial contract of 5+ months, W2 only.
Daily Tasks Performed:
Responsible for designing, developing, and implementing data integration processes using Informatica IDMC.
Responsible for collaborating with business Analyst, Data Architect to understand business requirements for data integration and transformation requirements.
Responsible for design, develop and test application interfaces using various application connectors like Sales Force and AWS.
Responsible for Data validation, process tuning and automation of interface / data transfer processes.
Qualifications:
. 3-5 years of experience in data engineering.
Strong experience with distributed data processing (Spark, AWS Glue, EMR, or equivalent).
Hands-on expertise with data modeling, ETL pipelines, and performance optimization.
Strong hands-on expertise in building and optimizing ETL pipelines into Amazon Redshift
#LI-MM1
Daily Tasks Performed:
Responsible for designing, developing, and implementing data integration processes using Informatica IDMC.
Responsible for collaborating with business Analyst, Data Architect to understand business requirements for data integration and transformation requirements.
Responsible for design, develop and test application interfaces using various application connectors like Sales Force and AWS.
Responsible for Data validation, process tuning and automation of interface / data transfer processes.
Qualifications:
. 3-5 years of experience in data engineering.
Strong experience with distributed data processing (Spark, AWS Glue, EMR, or equivalent).
Hands-on expertise with data modeling, ETL pipelines, and performance optimization.
Strong hands-on expertise in building and optimizing ETL pipelines into Amazon Redshift
#LI-MM1
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