Source description
About the role
Job Summary The Senior Technical Associate under direct supervision of the Technical Lead / Project Manager is responsible for developing, implementing and supporting individual components within an application. This involves analysis, developing/coding, testing and implementation of the components. This may also involve providing enhancements and ongoing application support to the deployed application.
Experience Location: Hyderabad Work Mode : Hybrid (3 days/week) Experience: 3 to 6 Years Employment Type: Full-time
Job Requirement:
Experience in data engineering, or analytics roles.
Snowflake
Microsoft Fabric (OneLake, Data Factory, etc.)
Microsoft Purview
Azure Synapse Analytics (Dedicated & Serverless)
Data Modeling (Dimensional & Relational)
Power BI Integration, PySpark
ETL / ELT Design (Fabric, Synapse, ADF)
T-SQL, Spark SQL
Azure Data Lake Storage Gen2
Understanding on Data Security & Governance (RBAC, Masking, etc.)
Understanding on Azure Cloud Architecture (IaaS/PaaS for Data)
Azure Databricks
Key Responsibilities Data Architecture & Design •Lead the end-to-end and design of data platforms using Microsoft Fabric, Synapse Analytics, and ADF. •Define and implement data models, warehouse/lakehouse designs, and normalization strategies to support manufacturing analytics. •Establish data integration patterns, ingestion pipelines, and governance frameworks across structured, semi-structured, and unstructured data sources. •Drive adoption of best practices in SQL, PySpark, and data lakehouse technologies. •Should have working experience in Databricks Technical Leadership & Guidance •Partner with data engineers, BI developers, and business stakeholders to translate manufacturing requirements into scalable data solutions. •Lead the team and provide reviews, performance tuning, and optimization guidance across SQL, PySpark, and Synapse workloads. •Mentor and guide teams in building efficient pipelines, ELT/ETL frameworks, and reusable components. •Establish standards for security, compliance, metadata management, and lineage tracking. Analytics & Reporting Enablement •Lead & Design enterprise BI solutions in Power BI, ensuring performance, usability, and self-service capabilities. •Define semantic models and KPIs relevant to the manufacturing domain (OEE, downtime, yield, energy efficiency, carbon footprint, cost tracking, etc.). •Collaborate with business teams to operationalize advanced analytics, predictive maintenance, and digital twin use cases. Manufacturing Domain Expertise •Leverage deep knowledge of manufacturing processes, MES/ERP integration, IoT/sensor data, supply chain, and production metrics. •Map data flows across shop-floor systems, quality systems, energy/fuel consumption, and sustainability reporting. •Good understanding of how data architecture can drive efficiency, reduce downtime, and optimize operations. Competencies Requirements Gathering Azure Data Factory Azure Service Fabric Snowflake ETL
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