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Sr.Data Engineer(IDMC/IICS+Snowflake)

Excelencia · All India

📅 05/08/2026
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Role: Sr.Data Engineer (IDMC/IICS+ Snowflake) Location: Pune / Chennai / Hyderabad Experience: 10+ Years Required Skills: Development, maintenance, and enhancement of Data Pipelines (ETL/ELT) and processes with thorough knowledge of star/snowflake schemasDeveloping complex SQL queries and SQL optimizationHands on experience in PowerCenter/IDMC/IICS.Development experience must be full Life Cycle experience including business requirements gathering, data sourcing, testing/data reconciliation, and deployment within Business Intelligence/Data Warehousing Architecture.Designing and implementing data securityMonitoring and optimizing data storage and data processingUse of Object function/object-oriented scripting languages including Scala, C++, Java and PythonCloud data warehouse and data lake platforms (e.g., Snowflake, Databricks, Redshift, BigQuery, MS Synapse, MS ADLS, Apache Haddop, etc.)Developing data services that are fit for purpose, resilient, scalable, and future proof, to meet user needsAdvanced SQL knowledge and experience working with relational databases and working familiarity with various databases.Demonstrated understanding and experience using software and tools including ETL, relational SQL and NoSQL databases, big data tools like Kafka, Spark, and HadoopExperience building and optimizing big data data pipelines, architecture, and data sets.Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.Strong analytic skills related to working with unstructured datasets.Experience and knowledge of project management best practices and agile software development methodologiesA successful history of manipulating, processing, and extracting value from large, disconnected datasets.Working knowledge of message queuing, stream processing, and highly scalable big data data stores.Strong project management and organizational skills.Experience supporting and working with cross-functional teams in a dynamic environment.Understanding of data science conceptsFamiliarity with AI/ML frameworks and libraries Additional Skills: Good to Have Experience in Supply Chain and Manufacturing Domains - understand the data, the use cases, and the value it drives rather than just the code" Procurement / Supplier dataInventory and warehouse management dataDemand planning and forecastingProduction orders, BOMs, routingsShop floor / MES dataQuality systems (defects, CAPA, nonconformance)Data Integration Across Various Source Systems - comfortable with messy enterprise ecosystems and excels in data transformation and harmonization across systems" SAP Experience (high priority)SAP pipeline integration (high priority)Oracle, Syteline, MAAPS, AS400Focus on Data Modeling and Analytics Engineering - "candidate can explain how they modeled a supply chain dataset (orders, shipments, inventory) into a consumable reporting layer." Semantic / business layer modeling backgroundFact / dimension modeling to KPI's (not just tables)Data Marts and Info Mart creation and maintenanceAbility to translate business processes and KPIs into data structuresEmphasis on data quality, data governance, and metadata / catalog integration (Purview, Collibra, etc.) .
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