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# ETL Informatica/Hadoop Developer

- **Company:** Purple Drive Technologies LLC
- **Location:** Charlotte, NC, United States
- **Contract:** Permanent contract
- **Skills:** 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, 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
- **Published:** November 8, 2026
- **Apply:** https://www.dice.com/job-detail/3c272c16-2828-4a23-933d-69b4b64be08e

## About the Role

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.

## 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