We’re committed to being the clean energy leader in Louisiana. By investing in renewables like solar and utilizing carbon capture and sequestration technology to make our air cleaner, we’re in this for the long haul, because our state and future generations depend on it. Come be a part of our journey at Cleco where we're Energizing Your Tomorrow.

The Data Engineer II is an experienced professional with knowledge of ETL processes, data architecture, and cloud platforms. Responsible for designing, implementing, and maintaining data pipelines into our data lakehouse. The incumbent contributes to building and developing the organization’s data infrastructure and supports the business to enable efficient data flow between applications to support analytics, business intelligence, and AI/ML use cases.

Key Responsibilities

Build data pipelines from data sources to our azure databricks platform.
Monitor pipeline performance and implement optimizations as needed
Structure and optimize the datalake to optimize support of data reporting, business intelligence, and AI/ML development
Create scripts that can be reused to preprocess data sets, perform analysis, etc.
Research and implement cutting-edge techniques and tools to enable better data adoption across the business
Assist in the creation of frameworks and processes to analyze unstructured information collected through social media platforms i.e., wikis, blogs, instant messaging, etc.
Assist in the integration of current systems (e.g., SAP) and analytical techniques to enhance/streamline current operations and improve efficiency; assist with process automation by identifying areas to reduce routine manual tasks
Champion a corporate culture that emphasizes transparency, integrity, safety, environmental responsibility, employee development, diversity and inclusion, customer service, and operational excellence

Qualifications

Required Education, Experience, Skills

Bachelor’s degree in computer science, software engineering, or related field.
3-5+ years of related experience
Experience with Azure Databricks, Azure Data Factory, or other Microsoft Cloud solutions are preferred
Proficiency in developing ETL processes, and performing test and validation steps.
Advanced Experience building ETL pipelines from various data sources. SAP, Oracle, and SQL Server are preferred.
Experience with handling Realtime, Change Data Feed and Unstructured data is a plus.
Proficiency in data manipulation(SQL, Python, R, Spark, etc.)
Familiar in data visualization tools such as Tableau and PowerBI
Strong communication (writing, speaking, storytelling), interpersonal, listening, and negotiation skills to communicate complex results to technical and non-technical audiences and influence with a consultative approach
Strong customer focus and employee experience mindset
Strong analytical, problem-solving, planning, and project management skills
Willingness and ability to learn new technologies on the job
Ability to exercise judgment with little direction/guidance but also knows when to escalate to the Manager of Data Science and Business Intelligence
Proficient at functioning effectively within a team environment, present ideas and opinions in a respective and collegial manner
Ability to interpret/write custom shell scripts. Python scripting is a plus.
Experience with Azure platform and data bricks/similar platform
Experience with Git / Azure DevOps

Key Competencies

BEHAVIORAL

Building Partnerships
Leading Teams
Business Acumen
Communication
Courage
Building Self-Insight
Driving for Results
Energizing the Organization
Driving Execution
Building Trusting Relationships
Driving Innovation
Planning and Organizing
Safety
Establishing Strategic Direction

TECHNICAL

Governance and Internal Control
Financial Reporting and Data Analysis
Industry and Business Knowledge
Financial Systems
Planning, Forecasting & Budgeting
Business Partnering
M&A Analysis
Project and Change Management

May perform other duties as assigned.

Salary dependent on experience, skills, education, and training.

Cleco

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