Principal Data Engineer/Architect

Principal Data Engineer/Architect

Location: Chennai, Tamil Nadu, India

Job Type: Permanent

Work Experience: 8 - 10 years

Work Shift: UK Shift

Responsibilities

• 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

Requirements

• 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 data
• Inventory and warehouse management data
• Demand planning and forecasting
• Production orders, BOMs, routings
• Shop floor / MES data
• Quality systems (defects, CAPA, nonconformance)

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