Data Engineer

Pallidus, Inc. is a fast-growing producer of large diameter Silicon Carbide (SiC) wafers for high power and high frequency semiconductor applications in transportation, green energy, telecommunications, and Industrial markets. Pallidus’ M-SiC™ technology delivers step change improvements in SiC quality and cost effectiveness to drive wafer to device yield performance. Pallidus is a high energy, technology driven and innovative startup company looking for like-minded people to join our team. 

SCOPE

Pallidus is looking for a Data Engineer to deliver business value through the design and integration of information models that originate from multiple data sources. You will be responsible for expanding and optimizing our data and data pipeline architecture and data flow and collection for cross-functional teams. The Data Engineer will be part of the growing the data science team and be responsible for the day-to-day activities related to the implementation of new services and support for existing services.

RESPONSIBILITIES

·         Partner with key business stakeholders to create blueprints for data solutions & services that align with overall corporate objectives and support

enterprise scale reporting capabilities

·         Translate simple to complex user requirements into functional and actionable analytics

·         Provide guidance on architecture, data-store selection, data modeling, and query optimization for existing and future applications

·         Execute the design, development and support of data solutions including configuration, administration, monitoring, performance tuning, and

debugging for efficient data handling & analytical reporting

·         Ensure an appropriate infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources into cloud

computing platforms such as Snowflake and Databricks

·         Support data quality issue resolution while managing SLAs for services owned

·         Participate in the development lifecycle using Agile / DevOps methodologies and support testing & deployment as part of the full release cycle.

·         Become an internal subject matter expert on various datasets and support other departments on usage of those datasets

·         Collaborate with applications teams and business partners to assist in developing data governance framework & data retention policies

REQUIREMENTS

·         Bachelor's degree in computer science, engineering, or related field of study

·         Minimum of 5 years of experience in a data engineering role working with diverse data sets ideally with modern data warehousing/data lake

technologies

·         A successful history of ETL manipulating/processing/extracting value from large disconnected and diverse datasets

·         Comfortable building pipelines with industry best practices to load huge volumes of data into a Data Warehouse

·         Strong analytic skills related to working with unstructured datasets

·         Experience with relational SQL and NoSQL databases, and capable of writing complex queries in SQL, spark, pandas, etc.

·         Knowledge of data modeling, star schema, incremental load

·         Ability to quickly build effective working relationships across the organization

·         Solid software engineering skills and advanced knowledge of at least one language, preferably Python. Appreciation of and dedication to clean coding

principles is important

·         Effective communication skills, including the ability to articulate complex technical requirements to business and end-users in a clear and non-technical

manner

·         Must be a US Citizen or be a lawful permanent resident of the U.S. to meet Export Control requirements

TO APPLY, SEND RESUME TO HR@PALLIDUS.COM