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Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

**This opportunity can be remotely located**

Responsible for building, optimizing and maintaining the data pipelines and aiding in building the data ecosystem for delivering enterprise data for wide consumption including developing data models, corresponding data architecture documents and API's.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

1. Builds, manages, and implements the data and/or Big Data pipeline capabilities including data modeling, process design and overall data pipeline architecture and all phases of the ETL (extract, transform, and load) processes.

2. Leads efforts related to partially to completely automate repeatable data preparation and integration tasks. Partner with technology teams to understand data capture, testing needs, and to build and test end-to-end solutions.

3. Partners with engineers, data scientists, and the data office leadership to define and refine data architecture and technology choices.

4. Takes a new perspective on existing solutions to solve problems of the highest complexity and exercise judgment based on the analysis (e.g. modeling, testing, etc.) of multiple sources of information and make recommendations.

5. Leads larger, more complex data engineering projects and initiatives with significant risks and resource requirements.

QUALIFICATIONS

Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Bachelor's degree and eight years of experience in systems engineering or administration or equivalent education and related training or experience

2. Specialized knowledge of SQL, relational databases, ETL/ELT architecture and concepts, data integration concepts and big data concepts

3.Previous experience in planning and managing IT projects

Preferred Qualifications:

1. Master's degree and eight years of experience or an equivalent combination of education and work experience

2.Banking or financial services experience

3. Data integration technologies in a big data environment (eg; Informatica BDM, Spark, Scala)
4. Experience in a matrix environment with active engagement in multiple teams/projects simultaneously

5. Experience with Hadoop or related platforms

6. Experience with ETL/ELT architectures and solutions

7. Familiarity with SQL and RDBMS concepts

8. Tools such as Spark, HBase, HDFS, Hive, and Oozie

9. Experience with agile and agile management tools

10. CICD experience using GIT

OTHER JOB REQUIREMENTS / WORKING CONDITIONS

Sitting
Constantly (More than 50% of the time)
Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
Travel
Minimal and up to 10%

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