Are you looking for a unique opportunity to be a part of something great? Want to join a 20,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology, Inc.

People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip's nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our ; we affectionately refer to it as the Aggregate System and it's won us countless awards for diversity and workplace excellence.

Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over without a great team dedicated to empowering innovation. People like you.

Visit our page to see what exciting opportunities and company await!

Job Description:

* Architect data solutions with Graph databases such as Neo4j, Amazon Neptune

* Implement data systems, datapipelines and ML infrastructure design

* Orchestrate activities in cross-functional collaborations

* Support and maintain data pipelines, and provide expertise and best practices regarding data engineering

* Evaluate business needs and objectives, and align project activities accordingly

* Analyze, organize and combine raw data from different sources

* Explore ways to enhance data quality and reliability

* Identify opportunities for data acquisition

* Develop analytical tools and programs

* Prepare data for prescriptive and predictive modeling

* Software development with Agile/Scrum

Requirements/Qualifications:

* 8+ years of experience as a data engineer or a data solution architect

* 8+ years of technical experience with data models, data mining

* 8+ years of hands-on experience with database design with Neo4j Graph Database or Relational databases

* 8+ years of experience in database technologies and management systems

* 8+ years of experience in relational based systems and writing complex SQL

* 5+ years of database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools

* 5+ years of experience in Big Data distributed ecosystems (Hadoop, Spark, Delta Lake)

* 3+ years of experience in pub/sub streaming technologies like Kafka, Kinesis, Spark Streaming etc.

* 3+ years of experience in cloud based Datawarehouse such as Redshift, Snowflake, Azure Data lake

* 3+ years of experience training and hosting various types of ML algorithms

* 3+ years of experience using data science tools, libraries and frameworks (e.g. Scikit-learn, caret, mlr, mllib, SparkML, NumPy, SciPy, Pandas, TensorFlow, PyTorch)

* Workflow orchestration platforms: Airflow

* Degree in Computer Science, IT, or similar field; a Master's is a plus

* Big Data Distributed systems such as Databricks

* Security & privacy principals

* Data engineering certification is a plus

* Strong experience in coding languages like Python, Scala & Java

* Provide guidance to other engineers and workflow developers

* Strong experience in quantitative analysis

* Workflow performance, scaling, and optimization. Big Data solutions in some cases

* Domain knowledge related to semiconductor manufacturing and quote to cash process

* Strong understanding of data structures and algorithms

* Strong analytical and problem-solving skills.

Travel Time:

Physical Attributes:

Physical Requirements:

Microchip Technology Inc is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

For more information on applicable equal employment regulations, please refer to the EEO is the Law Poster and the EEO is the Law Poster Supplement. Please also refer to the Pay Transparency Policy Statement.