Data/ETL Developer

About the job

Job Title Data/ETL Developer

Location Westlake/Dallas, Texas (Hybrid Role - 3 Days onsite and rest remote)

Duration Long Term

Job Description

Looking for candidates with IICS, GCP and Python experience

Minimum 10 years of hands-on development experience using parallel processing databases like Teradata.

Mandatory, 3+ years' experience in cloud technologies like AWS, preferably Big Query, Data Proc on Google Cloud Platform.

Using GCP native ETL solutions. Or building custom ETL/ELT solutions using Python.

Preferably expert-level hands-on development experience using Informatica IICS Experience in data streaming technologies like Kafka Experience with all aspects of data systems, including database design, ETL, aggregation strategy, performance optimization.

Experience setting best practices for building and designing ETL code and strong SQL experience to develop, tune, and debug complex SQL applications. Expertise in schema design, developing data models, and proven ability to work with complex data is required.

Hands-on experience with programming language Java/Python/Spark Hands-on experience with Linux and shell scripting Hands-on experience with CI/CD tools like Bamboo, Jenkins, Bitbucket, etc.

Do you want to be part of an enterprise data solutions team managing over 4 petabytes of data and building the next-generation analytics platform for a leading financial firm with over trillion in assets under management? At the Data & Rep Technology (DaRT) organization owns the strategy, implementation, delivery, and support of the enterprise data warehouse and emerging data platforms.

We are looking for someone who has a passion for data and comes with a data engineering background. Someone who has experience designing and coding batch and real-time ETL (and ELT) and wants to be part of the Dev Engineering team that is actively designing and implementing the Enterprise Data solution frameworks. Someone who wants to be challenged every day and has a passion for keeping up to date on new technologies in the Data Engineering space set new standards for hundreds of ETL developers and collaborates with the team members along the way