ETL Informatica/Hadoop Developer

Purple Drive Technologies LLC
Charlotte, NC, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology CA Workload Automation Ae Extract Transform Load (ETL) Data Transformation Data Warehousing Revision Control Systems Apache Hadoop Hadoop Distributed File System MapReduce Apache HBase Apache Hive JSON
+17 more
NoSQL Apache Oozie Oracle (Applications) Parsing PL-SQL SQL Databases Sqoop System Testing Extensible Markup Language (XML) Apache Zookeeper Apache Yarn Informatica Powercenter Apache Spark Apache Flume Information Technology Apache Kafka Bitbucket

Job description

Apply advanced transformations, including data transformations and parsing JSON/XML messages.

Use job-scheduling tools such as AutoSys.

Integrate data from various sources while ensuring data consistency and quality.

Design and maintain data warehouses to support business intelligence activities.

Optimize SQL scripts and queries for speed and efficiency.

Identify and resolve issues in ETL processes.

Create and maintain technical documentation for ETL processes.

Perform unit, integration, and system testing on ETL processes.

Collaborate with cross-functional teams to support the successful implementation of ETL processes.

Ensure data quality by implementing data-cleansing and transformation processes.

Develop and maintain relational and dimensional data modelsinnovative solutions for the industry

Requirements

Primary skill: ETL Informatica Development

Secondary skills: Oracle and SQL

Experience: Demonstrated extensive experience in ETL development using Informatica, Oracle, and SQL, with

the expertise required to perform the responsibilities of the role.

Roles & Responsibilities

Bachelor’s or master’s degree in computer science or a related field.

Design, develop, and maintain ETL processes using Informatica PowerCenter or other relevant Informatica

tools.

Demonstrate a deep understanding of HDFS, YARN, MapReduce, Hive, Pig, HBase, Flume, Sqoop,

Zookeeper, and Oozie.

Apply experience with Spark, Kafka, and NoSQL databases.

Work effectively within Agile methodology.

Use code-versioning tools such as Bitbucket.

Use SQL/PLSQL to extract, transform, and load data.

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