Operational Intelligence, Data System Engineer

📋 Description

• Assist in the continuous development, maintenance, automation, and scaling of a sophisticated operational intelligence and governance analytics platform that is currently in active development.

• Execute and validate Python scripts.

• Process data using SQL.

• Normalize various datasets.

• Ingest and clean CSV files efficiently.

• Oversee folder structure management.

• Validate backup and rollback procedures.

• Provide support for dashboards.

• Assist with Power BI functionalities.

• Ensure output validation through quality assurance processes.

• Verify data lineage effectively.

• Contribute to automation initiatives.

• Document daily system operations and review execution logs.

• Support governance workflows.

⛳️ Requirements

• Proficient in running and validating Python scripts.

• Experienced in SQL data processing.

• Skilled in dataset normalization.

• Competent in CSV ingestion and cleanup.

• Adept at managing folder structures.

• Capable of validating backup and rollback procedures.

• Dashboard support experience is required.

• Knowledgeable in Power BI support.

• Experience in QA validation of outputs.

• Proficient in data lineage verification.

• Support for automation processes is necessary.

• Documenting daily system activities is essential.

• Review of execution logs is required.

• Support governance workflows.

• The system encompasses:

• Extensive operational datasets.

• SQL operations.

• Analytics based on Python.

• AI-assisted processing techniques.

• Governance analytics.

• RCA / escalation intelligence.

• Timestamp correlation methods.

• Operational reconstruction strategies.

• Power BI visualization tools.

• CSV normalization and automation processes.

• Governance of data pipelines.

• Executive operational reporting.

• Preferred Skills and Qualifications:

• Technical: Strong experience in Python, SQL, and Microsoft Excel.

• Experience with handling CSV files and large datasets.

• Proficiency in the pandas (Python library).

• Familiarity with Power BI or dashboard development.

• Data normalization / ETL experience.

• Discipline in file structure and folder governance.

• Ability to work with extensive operational datasets.

• Capability to adhere to structured naming conventions and workflows.

• Preferred: Familiarity with AI / NLP, operational analytics, automation scripting, data lineage or audit tracking, and experience in healthcare or operations analytics.

• Git/version control familiarity is a plus.

• IMPORTANT PERSONALITY / WORK REQUIREMENTS:

• The candidate MUST: Be highly detail-oriented, extremely organized, and able to follow strict governance protocols.

• Be comfortable working with evolving systems and documenting work daily.

• Learn quickly and handle repetitive validation and auditing tasks.

• Be proactive, solutions-oriented, trustworthy, and professional.

• Capable of managing confidential operational information responsibly.

• The candidate should also: Be comfortable working independently post-training and responsive during working hours.

• Be able to support long-term system operations and scaling.

• Comfortable in continuous improvement environments.

• THIS IS NOT: A website development role, customer service role, social media role, basic VA role, WordPress role, or graphic design role.

• This is closer to: Data systems engineering, operational intelligence support, analytics engineering, pipeline management, and technical operations support.

🏝️ Benefits

• Competitive Base Pay: We provide the highest base pay in the home care industry!

• Make a Difference: You will play a crucial role in ensuring that clients receive the best service.

• Fun & Supportive Team: We are a close-knit group that values collaboration, compassion, and a good sense of humor.