Required Skills:
Development, maintenance, and enhancement of Data Pipelines (ETL/ELT) and processes with thorough knowledge of star/snowflake schemas
Hands on experience in PowerCenter/IDMC/IICS.
Developing complex SQL queries and SQL optimization
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 security
Monitoring and optimizing data storage and data processing
Delivering Data Solutions using Cloud Technologies
Advanced SQL skills and experience with relational databases and database design like Oracle and SQLSERVER.
Significant experience working with cloud Data Warehouse and Data Lake solutions (e.g., Snowflake, Redshift, BigQuery, Azure Data Lake Storage, Amazon S3, etc.)
Experience working with data ingestion tools such as Fivetran, stitch, or Matillion.
Working knowledge of Cloud-based solutions (e.g., Azure, AWS and GCP).
Experience building and deploying machine learning models in production.
Strong proficiency in object-oriented languages: Python, Java, C++, Scala.
Strong proficiency in scripting languages like Bash.
Strong proficiency in data pipeline and workflow management tools (e.g., Airflow, Azkaban).
Familiarity with big data frameworks such as Apache Hadoop and Apache Spark
Strong project management and organizational skills.
Excellent problem-solving, communication, and organizational skills.
Demonstrated leadership experience and skills
Ability to communicate effectively and influence technical and business stakeholders at all levels of the organization
Experience in Supply Chain and Manufacturing Domains - understand the data, the use cases, and the value it drives rather than just the code"
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Procurement / Supplier data
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Inventory and warehouse management data
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Demand planning and forecasting
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Production orders, BOMs, routings
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Shop floor / MES data
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Quality systems (defects, CAPA, nonconformance)
