03 Oct
Milestone Technologies
Nadiad
We are seeking a Senior Data Analyst / Engineer with strong experience in manufacturing control systems data, data authentication, and readiness engineering . This role will ensure data ingested from manufacturing systems into Client's data lake and downstream applications (e.g., PI) is fit-for-purpose, reliable, and trustworthy .
The successful candidate will work directly with manufacturing system owners , the CDL data lake team , and business stakeholders to resolve data integrity issues surfaced during the Trailblazer deployment .
Key Responsibilities
- Analyze, validate, and authenticate data sets from manufacturing systems (SCADA, PLC, control systems).
- Identify gaps, missing values,
and integrity issues in structured and semi-structured data.
- Implement data readiness and authentication protocols to ensure “fit-for-purpose” ingestion.
- Develop automation scripts, pipelines, and data preparation workflows to streamline readiness processes.
- Collaborate with CDL ingestion teams to fix and enrich data before and after ingestion into the CDL.
- Work with stakeholders to define data requirements per application , e.g., PI datasets.
- Provide technical support to parallel Trailblazer rollouts across multiple manufacturing sites.
- Create and maintain documentation for data readiness processes, authentication standards, and audit protocols .
- Contribute to building audit controls and monitoring frameworks for ongoing data integrity.
Required Skills & Experience
- 6–10 years’ experience as a Data Analyst / Engineer in manufacturing or industrial data environments.
- Robust understanding of SCADA, PLC, and manufacturing control systems data .
- Experience with data lakes (Azure/AWS/GCP) and relational database systems.
- Hands-on experience in data authentication,
cleansing, validation, and readiness engineering .
- Proficiency in SQL, Python, or equivalent scripting for data processing/automation.
- Familiarity with PI (OSIsoft / Aveva) or other manufacturing data historians (trainable by Deen).
- Strong problem-solving skills for working with ambiguous or incomplete data sets .
- Ability to collaborate with both technical and functional (system owners, BSA) stakeholders.
- Excellent communication skills to bridge system data owners and engineering teams.
Desirable / Nice-to-Have
- Prior experience with data process automation in manufacturing systems.
- Exposure to audit/compliance controls in pharma or life sciences manufacturing.
- Working knowledge of data visualization and reporting tools .
- Familiarity with Agile/PI planning environments .
📌 Senior Data Analyst / Engineer
🏢 Milestone Technologies
📍 Nadiad
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