Job Overview ================
Celanese is seeking a proactive and experienced Data Engineer with advanced Power BI expertise to lead the development and support of ETL pipelines, dashboards, and data analytics solutions. The role involves working with tools like Alteryx, Python, SparkSQL, Cognite Data Fusion, and GraphDB, while mentoring junior team members and ensuring operational excellence.
Responsibilities ----------------
Key Responsibilities:
ETL & Data Engineering
Design and maintain scalable ETL pipelines using one of Alteryx, Informatica, SSIS ETL tools.
Develop Python (Streamlit, Pandas, Numpy) scripts for data transformation and automation.
Ensure data quality, integrity, and security across platforms.
Collaborate with business users to gather and document requirements.
Translate business needs into technical specifications.
Build ETL Pipelines on Cognite Data Fusion (CDF) - willing to learn and explore on own.
Power BI Development
Build and enhance interactive dashboards using Power BI.
Apply advanced DAX for calculated columns, measures, and KPIs.
Optimize visualizations for performance and usability.
Provide demos and walkthroughs to stakeholders.
SQL & Data Modeling
Write and optimize complex SQL queries for data ingestion, extraction and analysis.
Model and manage data in GraphDB or similar graph databases (e.g., Neo4j, Amazon Neptune).
Design graph-based schemas and optimize queries.
Qualifications ==============
Required Qualifications: