Senior Data Analytics Engineer

Intel

5 - 10 years

18 - 22 Lacs

bengaluru

Posted:6 days ago| Platform:

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Skills Required

sql html python javascript software programming tibco spotfire postgresql xml json shell scripting data visualization api etl mongodb hbase rest data analysis oracle power bi sql server nosql tableau apache nifi cassandra kafka nosql databases

Work Mode

Work from Office

Job Type

Full Time

Job Description

This role is an exciting opportunity to apply AI/data technology to translate manufacturing data into meaningful insights to help solve factory yield/process engineering problems. In this position, you are expected to deliver data analytics tools/algorithms/methodologies for engineers in different areas in Manufacturing.
The successful candidate will work closely with yield/process/Quality engineers to understand their business needs, analysis methodologies and come up with solutions to assist data-driven decisions in their daily work.
Help users to do quick and efficient signal detection for yield or process issues, improve yield and quality and reduce cost to meet Quality/Output/Cost goals.
Stay abreast of the latest advancements in data solution development and evaluate their applicability to the manufacturing processes and ecosystems.

Qualifications:

Bachelor's degree with 5+ years of industry/post-university experience in Computer Science/Computer Engineering or a related field with solid software programming experience. OR
Master's degree in Computer Science/Computer Engineering or a related field with 3+ years strong software programming experience. OR
PhD with some experience in Computer Science/Computer Engineering or a related field with strong software programming experience.
Skills: Data Analysis/Visualizations, TIBCO Spotfire (Preferred): Power BI or Tableau.Ability to create custom dashboards
Scripting/Programming: Python or
Web/API Integration: REST API, JSON, XML. JavaScript/Web/HTML scripting.
Data Engineering and ETL Skills: Experience with data pipeline, data ingestion and transformation. Familiarity with Apache NiFI, Kafka or similar ETL frameworks. Shell scripting (e.g. Bash) for task automation
Database Querying: SQL (Oracle or MS SQL or Postgres).
Experience with NoSQL databases (MongoDB, Cassandra, HBase) is a plus
Data Science / ML: Experience with Jupiter notebooks, MLOPs platforms and Advanced Python is a plus
Mfg/Semiconductor process/data domain knowledge is a plus.

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