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Data Engineer | LOCAL-Madisonville (Cincinnati), OH (Hybrid) | Contract at Madisonville, Texas, USA
Email: [email protected]
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Role:
Data
Engineer

Location
:

Madisonville
(Cincinnati), OH (Hybrid)

Job
Type:
Contract

LinkedIn
is required.

Job Description:

Must Have:

Data
Architecture

Data
Modeling

ETL

Nice To Have:

Apache
Kafka

Cloud
Data Warehousing - Snowflake preferred

1.

ETL Tools: - Talend BigData 7.x/6.x,
Talend Integration Suite 7.x/6.x, Talend ESB, Matillion ETL for Redshift
1.39.9, Datastage 11.x/9.x/8.x/7.x PX, Quality Stage, profile stage,
Information Analyzer, Fast Track, Business Glossary, Metadata Work Bench,
Informatica.

2.

Languages: - SQL, PL/SQL, UNIX
Script, Java, Python, SCALA, Basic C & C++, Amazon Redshift databases

3.

Databases: - Big Data, Hadoop, Hive,
NoSQL, Oracle 8i/9i/10g, IBM DB2, TeraData, SQL Server, Sybase, MS-Access 2007

4.

Other DW-BI Application Tools: - Toad
7.x, DB2-AQT 7.x,

5.

Datastage version control tool, HP-PVCS
Versioning tool, Micro strategy 8.1.0, Business Objects, Cognos, Qlikview,
Tableau.

6.

Environment: - Spark-Hadoop v2.4.2, AIX
Unix 5.2, Windows 98, XP, 2K, Windows7/10, AWS.

7.

Methodologies: - ER*win Data Modeler,
Dimension Modeling, ER Modeling

The data engineer designs and builds platforms, tools, and
solutions that help the bank manage, secure, and generate value from its data.
The person in this role creates scalable and reusable solutions for gathering,
collecting, storing, processing, and serving data on both small and very large
(i.e. Big Data) scales. These solutions can include on-premise and cloud-based
data platforms, and solutions in any of the following domains ETL, business
intelligence, analytics, persistence (relational, NoSQL, data lakes), search,
messaging, data warehousing, stream processing, and machine learning.

Responsible and accountable for risk by openly exchanging
ideas and opinions, elevating concerns, and personally following policies and
procedures as defined. Accountable for always doing the right thing for
customers and colleagues, and ensures that actions and behaviors drive a
positive customer experience. While operating within the Bank's risk appetite,
achieves results by consistently identifying, assessing, managing, monitoring,
and reporting risks of all types.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

- Responsible for design, Development, and Support of data
solutions, APIs, tools, and processes to enable rapid delivery of business
capabilities.

- Work closely with IT application teams, Enterprise
architecture, infrastructure, information security, and LOB stakeholders to
translate business and technical strategies into data-driven solutions for the
Bank.

- Act as a technical Expert addressing problems related to
system and application design, performance, integration, security, etc.

- Conduct research and Development based on current trends
and technologies related to the banking industry, data engineering and
architecture, data security, and related topics.

- Work with developers to Build CI/CD pipelines,
Self-service Build tools, and automated deployment processes.

- Evaluate software products and Provide documented
recommendations as needed.

- Provide Support and troubleshooting for data platforms.
Must be willing to Provide escalated on-call Support for complicated and/or
critical incidents.

- Participate in the planning process for hardware and
software.

- Plan and work on internal projects as needed, including
legacy system replacement, Monitoring and analytics improvements, tool
Development, and technical documentation.

- Provide technical guidance and mentoring for other team
members.

- Manage and prioritize multiple assignments.

MINIMUM KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

- Bachelor's degree in Computer Science/Information Systems
or equivalent combination of education and experience.

- Must be able to communicate ideas both verbally and in
writing to management, business and IT sponsors, and technical resources in
language that is appropriate for each group.

- Fundamental understanding of distributed computing
principles

- Knowledge of application and data security concepts,
best practices, and common vulnerabilities.

- Conceptual understanding of one or more of the following
disciplines preferred big data technologies and distributions, metadata
management products, commercial ETL tools, Bi and reporting tools, messaging
systems, data warehousing, Java (language and run time environment), major
version control systems, continuous integration/delivery tools, infrastructure
automation and virtualization tools, major cloud, or rest API design and
development.

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Keywords: cprogramm cplusplus continuous integration continuous deployment business intelligence information technology hewlett packard microsoft procedural language Ohio
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07:13 PM 20-Sep-23


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