IN_Senior Associate/Manager – Industrial Analytics & OT Data Engineering _ Advisory_Pune/Bangalore
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Description
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<p class="MsoNormal" style="margin-bottom:0in;text-align:justify;line-height:normal;"><b><span style="font-size:9pt;font-family:Georgia, serif;color:#000000;background-size:initial;">Job Description
& Summary: </span></b><span style="font-size:9pt;font-family:Georgia, serif;color:#000000;background-size:initial;">The Senior Associate
– Industrial Analytics & OT Data Engineering is a hands-on engineering
and analytics role responsible for connecting, preparing and analysing plant
process, quality and production data. The role will work with manufacturing
SMEs and delivery leads to build contextualised datasets, identify the
drivers of defects and yield loss, create golden operating profiles, and
develop monitoring, alerts and dashboards that can be adopted by site teams
and reused across plants.</span></p><p></p>
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<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:9pt;font-family:Georgia, serif;color:#000000;background-size:initial;">Job Position Title:</span></b><span style="font-size:9pt;font-family:Georgia, serif;"></span></p><p></p>
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<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">IN_Senior Associate/Manager – Industrial Analytics & OT Data Engineering _ Advisory_Pune/Bangalore</span></p><p></p>
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<p class="MsoNormal" style="line-height:normal;vertical-align:baseline;"><b><span style="font-size:9pt;font-family:Georgia, serif;color:#000000;border:none 1pt;padding:0in;">Responsibilities:</span></b></p><p><b></b></p><b></b>
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<p class="MsoListParagraphCxSpFirst" style="margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0.25in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">· Profile historian, quality, grade and MES
data for coverage, frequency, timestamp alignment, missing values, tag
consistency and fitness for analysis.</span></p><p></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0.25in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">· Configure and validate connectivity to
plant historians and databases, including PCS 7, AVEVA PI, OPC UA and
SQL-based quality or production systems.</span></p><p></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0.25in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">· Clean, align and contextualise time-series
data by equipment, probe, grade, batch, campaign, shift and defect event.</span></p><p></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0.25in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">· Build exploratory and diagnostic analyses
to identify high-value defect modes and relationships between process
conditions, product context and quality outcomes.</span></p><p></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0.25in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">· Develop golden profiles and deviation
signatures for temperature, combustion, pressure, batch, forming and
annealing variables, based on available plant data and SME validation.</span></p><p></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0.25in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">· Apply Python, SQL and statistical
techniques for time-series analysis, correlation, regression, feature
engineering, anomaly detection and model validation.</span></p><p></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0.25in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">· Build calculations, worksheets, reports,
dashboards and alerts in Seeq or comparable industrial analytics platforms.</span></p><p></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0.25in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">· Create data dictionaries, tag maps,
analytical notebooks, test evidence and reusable templates with clear
documentation and version control.</span></p><p></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0.25in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">· Work closely with process, furnace,
quality and controls SMEs to validate assumptions, explain findings and
refine analytical logic.</span></p><p></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0.25in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">· Support deployment, user testing, training
and knowledge transfer so plant engineers can self-serve and operate the
analytics after the PoC.</span></p><p></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0.25in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">· Contribute to architecture design, effort
estimation, technical demonstrations and proposal development for industrial
analytics opportunities.</span></p><p></p>
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<p class="MsoNormal" style="line-height:normal;vertical-align:baseline;"><b><span style="font-size:9pt;font-family:Georgia, serif;color:#000000;">Mandatory Requirements:</span></b></p><p><b></b></p><b></b>
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<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">·
4–7 years of experience in industrial data engineering, manufacturing
analytics, process analytics, OT systems, data science or Industry 4.0
delivery.</span></p><p></p>
<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">·
Bachelor’s degree in Chemical, Mechanical, Electrical, Electronics,
Instrumentation, Manufacturing, Industrial Engineering, Computer Science or a
related discipline.</span></p><p></p>
<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">·
Hands-on experience working with time-series or historian data from
manufacturing environments; experience in continuous-process industries is
preferred.</span></p><p></p>
<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">·
Good knowledge of plant historians and operational systems such as Siemens
SIMATIC PCS 7 Process Historian, AVEVA PI, SCADA, MES/MOM, LIMS or quality
databases.</span></p><p></p>
<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">·
Practical experience with SQL, data extraction and relational databases;
exposure to OPC UA, MQTT and industrial connectors is desirable.</span></p><p></p>
<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">·
Strong Python skills using pandas, NumPy, SciPy, scikit-learn or equivalent
libraries for cleansing, exploratory analysis, correlation, regression and
anomaly detection.</span></p><p></p>
<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">·
Experience with Seeq Analytics/Data Lab/Organizer or a comparable industrial
analytics platform; willingness to complete platform training is essential.</span></p><p></p>
<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">·
Ability to build dashboards and operational reports in Power BI or similar
tools.</span></p><p></p>
<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">·
Understanding of manufacturing KPIs such as yield, defect rate, scrap, OEE,
throughput, downtime and energy intensity.</span></p><p></p>
<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">·
Awareness of asset hierarchy, tag naming, batch/grade context and basic
ISA-95 concepts.</span></p><p></p>
<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">·
Exposure to Git, notebooks, testing and documented analytical development
practices.</span></p><p></p>
<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">·
Preferred certifications: Seeq, Siemens PCS 7, AVEVA PI, AWS/Azure data
engineering or analytics, or Power BI.</span></p><p></p>
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<p class="MsoNormal" style="line-height:normal;vertical-align:baseline;"><b><span style="font-size:9pt;font-family:Georgia, serif;color:#000000;">Years of experience required:</span></b></p><p><b></b></p><b></b>
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<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:9pt;font-family:Georgia, serif;">4+
years</span></p><p></p>
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<p class="MsoNormal" style="line-height:normal;vertical-align:baseline;"><b><span style="font-size:9pt;font-family:Georgia, serif;color:#000000;">Education qualification:</span></b></p><p><b></b></p><b></b>
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<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><font face="Georgia, serif"><span style="font-size:12px;">Any graduate/PG</span></font></p>
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