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DATE ADDED: Thu 31/10/2019

Data Warehouse Application Developer Architect

Houston, TX, US
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COMPANY: MODIS

JOB TYPE: Permanent, FullTime


Title: Data Warehouse Application Developer Architect

Location : Fairbanks North Houston





Client prides itself on being a leader in the analytics field, creating an artful blend of analytics and product expertise to create beautiful, data-driven software products and platforms. Our mission is to remain the leader in existing and emerging advanced analytics utilizing modern and traditional analytical toolkits. They accomplish this by promoting continuous development, both personally and professionally.

As a Data Warehouse Application Developer Architect, you will contribute to the Data Software Engineering team s initiatives focused on ensuring fast, reliable, and comprehensive software systems and promoting data warehouse software engineering best practices across the company.

Responsibilities:


Work collaboratively with other software engineers, data scientists, analytics teams, and business product owners in an agile environment:

Design and develop robust, reusable and scalable data driven software systems to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data.

Develop APIs to support critical data operational processes, analytical models and machine learning applications.

Assist in the development of data integration tools, frameworks and applications required to expand our software platform capabilities.

Understand and implement best practices in the management of enterprise data, including master data, reference data, metadata, data quality and lineage.

Requirements:


At least 7 years of collective experience in software engineering related to data warehousing, data engineering, data analysis, data integration and/or business intelligence in a similarly sized organization.

4+ years of experience designing, developing, and enhancing large-scale distributed software applications using various programming languages and technologies (e.g. SQL, Java, C++, Python, R, SSIS, Informatica, etc.)

3+ years of experience engineering and developing big data and real-time streaming analytics software for both on premises and cloud environments (AWS, Azure, Google) leveraging technologies such as Snowflake, Hadoop, Spark, S3, Redshift, BigQuery.

At least 1 year of experience with Snowflake.





Additional Information: Experience with Attunity is a plus.
- provided by Dice

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