Data Engineering Consultant

Data Engineering Consultant (Accenture LLP; Houston, TX): Accenture LLP has multiple openings for the position of Data Engineering Consultant in Houston, TX, and the job duties are as follows:

• Manage and support enterprise reports build on MicroStrategy using Netezza Database, perform issues troubleshooting, batch job management, root cause analysis, and provide periodic updates to client stakeholders.
• Meet service level agreements that include application and critical reports availability.
• Perform root cause analysis and code level fixes for bugs identified in production environment.
• Work on prioritization for offshore delivery team for critical report changes and drive daily hand-off.
• Perform application monitoring, patching, and validations.
• Interface with business stakeholders and translate requirements into technical scope of work, coordinate end-to-end (E2E) and user acceptance testing.
• Participate in review and approval of production change orders.
• Work on continuous improvement activities that involves proactive fixes, system improvements, and automation.
• Manage escalations with client stakeholders.
• Collaborate with multiple application teams for cross-functional activities including third-party vendors.

BASIC QUALIFICATIONS:

Must have a bachelor’s degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, Business Analytics, or related field, plus 2 years of experience in the IT consulting industry.

Must have 2 years of experience in each of the following:

• Programming and building large scale data analytics solutions operating in production environments;   
• Designing, implementing large scale data pipelines for data curation, feature engineering, and machine learning, using Spark in combination with PySpark, Java, Scala, or Python; and
• Utilizing on premise or on Cloud tools including AWS, Google, or Azure.

Must have 1 year of experience in each of the following:

• Designing and building performant data tiers, or refactoring existing ones, that support scaled AI and Analytics, using different Cloud native data stores on AWS, Azure, NoSQL, and Graph Stores; and
• Designing and building streaming data ingestion, analysis and processing pipelines using Kafka, Kafka Streams, and Spark Streaming cloud native technologies.

Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.

To apply, please click the ‘APPLY’ button.

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