The Product Data Science team seeks a Data Engineer to leverage extensive data, and aid ADI engineers in developing reliable, appealing platforms. The team acquires and assesses real-time platform data safely to support ADI's design and development, utilizing software tools to orchestrate data. The Product Data Science team uses data and AI to build new features and abilities into platform products, facilitated by automated data engineering tools.

In this role, you will work as a member of a fast-growing team, to build and support data pipelines and data models for analytics, data science, and machine learning use cases.

JOB DUTIES:
 

Designing and implementing data pipelines to efficiently extract, transform, and load (ETL) from various data sources into a central repository or data warehouse Deploy and maintain scalable production pipelines for AI models, ensuring seamless integration with existing systems, continuous performance monitoring, and iterative improvements based on real-world feedback Working on transformations and contributing to building the dimensional model of ADI product data Building and maintaining scalable and robust data infrastructure, including data lakes, and distributed computing systems that are equipped to handle large volumes of data Implement, and build data solutions using Spark, Python, Databricks, and the AWS ecosystem (S3, Redshift, EMR, Athena, Glue).  Implementing data validation and cleaning processes to ensure data quality and monitoring data pipelines for errors or anomalies Optimizing data storage and retrieval processes to enhance performance and reduce latency, particularly through techniques such as indexing, partitioning, and caching Implementing data security and privacy measures, including data encryption, access controls, and compliance with data governance policies and regulations Collaborating with data scientists and data analysts to understand metrics and data requirements and to provide them with access to the necessary data sets and data systems Adapt, learn, grow, and teach to deliver world-class products and platforms Bring a curious mind to current business problems and opportunities, expanding your understanding of all products in the ADI ecosystem

YOU MUST HAVE:
 

Strong programming skills and in Python Strong expertise in database and query languages like SQL, NoSQL Knowledge of data engineer skills such as data management, data visualization, and familiarity with data architecture Knowledge and hands-on experience in building scalable data platforms and reliable data pipelines using technologies such as Spark, Databricks, AWS Kinesis, and/or Kafka Solid understanding of MLOps principles and model versioning Experience working with large volumes of metadata and schemas Hands-on experience in ETL/ELT and data integration Data warehousing knowledge, including data modeling, data security, and data governance understanding  Understanding how the role complements others working with machine learning, data science, algorithms, business intelligence

WE VALUE:
 

Bachelor's degree in computer science or a related field and 4+ years' work experience in a data-related role Work experience in IoT or other cloud-enabled technology  Demonstrable experience working with Databricks and Spark Dimensional modeling techniques ML engineering experience, including MLOps, data preparation, etc.

 

WHAT'S IN FOR YOU:

Health package  Insurance in case of serious illness, surgical intervention, professional illness, and insurance from the consequences of an accident Flexible working hours  English classes during working hours Employee referral bonus program Corporate social events and team buildings Food and drinks: Free use of coffee machines, free fruit and snacks Well-equipped office

 

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