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Data Engineer 2Ursus, Inc.United States
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Data Engineer 2

Ursus, Inc.
  • US
    United States
  • US
    United States

À propos

JOB TITLE: Data Engineer 2
LOCATION: San Antonio, TX (Onsite)
DURATION: 8 Months
RATE RANGE: $35 - $45/hr.
TOP 3 SKILLS:
Hadoop platform administration and big data technologies including Spark, Hive, HBase, and MongoDB with ETL experience using Informatica and/or MuleSoft
Advanced Python and SQL skills with experience in data integration, API development, and Alteryx
Experience integrating enterprise data using REST and SOAP APIs with XML, JSON, and flat files plus familiarity with Kafka, NiFi, and data pipeline processes
Company:
Our client is the nation s largest provider of electric and natural gas services.
Position Summary:
Provide the development and automation of computing processes to detect, predict, and respond to opportunities in business operations. Working with a variety of disparate datasets that encompass many disciplines and business units, including weather, transmission and distribution grid infrastructure, power generation, gas delivery, commercial market operations, safety and security, and customer engagement. Strive to transform and implement true business integration, leveraging top-notch data integration best practices. Merging and securing data in a way that reduces the cost to maintain and increases the utilization of enterprise-wide data as an asset. Developing business intelligence.
Task and Responsibilities:
Design, develop, and unit test new or existing ETL/data integration solutions to meet business requirements.
Daily production support for enterprise data warehouse, including jobs in Informatica/Mulesoft and Oracle PL/SQL; and be flexible to manage high-severity incidents/problem resolution.
Participate in troubleshooting and resolving data integration issues, such as data quality.
Deliver increased productivity and effectiveness through rapid delivery of high-quality applications.
Provide work estimates and communicate the status of assignments.
Assist in QA efforts on tasks by providing input for test cases and supporting test case execution.
Analyze transaction errors, troubleshoot issues in the software, develop bug-fixes, and be involved in performance tuning efforts.
Develop Informatica/Mulesoft mappings and complex Oracle PL/SQL programs for the data warehouse.
Responsible for selecting and using DevOps tools for continuous integration, builds, and monitoring of solutions.
May provide input to the area budget.
Makes some independent decisions and recommendations that affect the section, department, and/or division.
Performs other duties as assigned.
Minimum Qualifications:
Bachelor s degree in computer science, engineering, or related field from an accredited university.
Experience in a data integration role.
Experience using Apache Spark, NiFi, and/or Kafka.
Experience using Python.
Experience integrating enterprise software using ETL modules.
Knowledge of data architecture, structures, and principles with the ability to critique data and system designs.
Ability to design, create, and/or modify data processes that meet key timelines while conforming to predefined specifications utilizing the Informatica and/or Mulesoft platform.
Understanding of big data technologies and platforms (Hadoop, Spark, MapReduce, Hive, HBase, MongoDB).
Ability to integrate data from web services in XML, JSON, flat file format, and SOAP.
Knowledge of core concepts of RESTful API Modeling Language (RAML 1.0) and designing with MuleSoft solutions.
Preferred Qualifications:
Relevant certifications.
Experience in API management.
Proficiency with the following databases/technologies: MuleSoft Anypoint Studio, Informatica PowerCenter, Oracle RDBMS, PL/SQL, MySQL.
Knowledge of test-driven development (TDD).
Familiarity with cloud-based architecture.
Experience with data analysis & model prototyping using Spark/Python/SQL and common data science tools & libraries (e.g., NumPy, Pandas, scikit-learn, TensorFlow).
Experience in a technology organization.
Must have Technical Skills:
Administration of Hadoop platforms and solutions
Advanced Python skills
Alteryx
API
SQL
Competencies:
Demonstrating initiative
Communicating effectively
Using computers and technology
Driving for results
BENEFITS SUMMARY:
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
IND123
  • United States

Compétences linguistiques

  • English
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