Data Engineering
Data engineering is the process of designing, building, and maintaining the infrastructure required for the reliable and efficient collection, transformation, storage, and analysis of large volumes of data. It involves working with a wide r...
Skills Hierarchy and Tags
Related Skills
Browse the most common related skills to this skill, based on the last 5 months of job postings data.
How does Lightcast define a skill?
Data Infrastructure refers to the underlying framework and systems that support the collection, storage, processing, and analysis of data. This skill encompasses knowledge of databases, data warehouses, and data lakes, which enable efficient data management and accessibility. Understanding Data Infrastructure is used to design and implement robust data solutions that facilitate data-driven decision-making and enhance organizational performance. It also involves ensuring data integrity, security, and compliance with relevant regulations.
Data Ingestion refers to the process of collecting and loading data from source systems into a target environment for storage, analysis, or operational use. It involves gathering information from files, databases, applications, and external feeds and preparing it for reliable downstream processing. In work contexts, the skill is used to ensure that data is transferred accurately, consistently, and in a format that supports reporting, integration, and decision making.
Data Lakes refer to centralized repositories that store vast amounts of structured and unstructured data in its raw format. This skill encompasses the ability to manage, process, and analyze data from various sources, enabling organizations to derive insights and support decision-making. Knowledge of Data Lakes is used to facilitate data integration, enhance data accessibility, and enable advanced analytics, thereby improving data-driven strategies and operational efficiency.
Data Pipelines refer to a set of processes that automate the movement and transformation of data from various sources to a destination for analysis and storage. This skill encompasses the design, construction, and management of workflows that facilitate the extraction, transformation, and loading of data, ensuring its quality and accessibility. Knowledge of Data Pipelines is used to streamline data integration, support real-time analytics, and enable informed decision-making by providing timely and accurate data to stakeholders.
BigQuery is a cloud-based data warehousing and analytics solution provided by Google. It allows businesses to analyze large, complex datasets quickly and efficiently, using a SQL-like language called BigQuery SQL. With BigQuery, users can store, process, and analyze vast amounts of data and gain valuable insights that can inform business decisions. BigQuery is typically used in industries such as e-commerce, finance, healthcare, and advertising, where there is a need to process large amounts of data in real-time.
Lightcast Skills Taxonomy
Looking for a specific skill? Search our library. Explore 35,000+ skills that we've collected from hundreds of millions of job postings, resumes, and online profiles.
The Lightcast Skills Taxonomy delivers clarity by allowing everyone to speak the same language. Use our APIs to articulate your skills needs, and leave the details to us: our dedicated team of taxonomists and engineers cleans, checks, and updates each entry so that you always have the most accurate and up-to-date picture of the labor market.
Are you a nonprofit pursuing a public good? Lightcast Skills APIs are freely available to you because we believe in using data for good and creating a labor market that works for everyone. Through the shared language of skills, we can enable a world where every worker and every job can find their best fits as efficiently and easily as possible.
Browse Skill Categories
Lightcast Skills Resources
Stop Predicting the Future. Start Preparing for It.
How Many Jobs Does a Data Center Create? Construction vs. Permanent Jobs
Connecting Students to What Comes Next
Skills Hierarchy and Tags
Related Skills
Browse the most common related skills to this skill, based on the last 5 months of job postings data.
How does Lightcast define a skill?Data Infrastructure refers to the underlying framework and systems that support the collection, storage, processing, and analysis of data. This skill encompasses knowledge of databases, data warehouses, and data lakes, which enable efficient data management and accessibility. Understanding Data Infrastructure is used to design and implement robust data solutions that facilitate data-driven decision-making and enhance organizational performance. It also involves ensuring data integrity, security, and compliance with relevant regulations.
Data Ingestion refers to the process of collecting and loading data from source systems into a target environment for storage, analysis, or operational use. It involves gathering information from files, databases, applications, and external feeds and preparing it for reliable downstream processing. In work contexts, the skill is used to ensure that data is transferred accurately, consistently, and in a format that supports reporting, integration, and decision making.
Data Lakes refer to centralized repositories that store vast amounts of structured and unstructured data in its raw format. This skill encompasses the ability to manage, process, and analyze data from various sources, enabling organizations to derive insights and support decision-making. Knowledge of Data Lakes is used to facilitate data integration, enhance data accessibility, and enable advanced analytics, thereby improving data-driven strategies and operational efficiency.
Data Pipelines refer to a set of processes that automate the movement and transformation of data from various sources to a destination for analysis and storage. This skill encompasses the design, construction, and management of workflows that facilitate the extraction, transformation, and loading of data, ensuring its quality and accessibility. Knowledge of Data Pipelines is used to streamline data integration, support real-time analytics, and enable informed decision-making by providing timely and accurate data to stakeholders.
BigQuery is a cloud-based data warehousing and analytics solution provided by Google. It allows businesses to analyze large, complex datasets quickly and efficiently, using a SQL-like language called BigQuery SQL. With BigQuery, users can store, process, and analyze vast amounts of data and gain valuable insights that can inform business decisions. BigQuery is typically used in industries such as e-commerce, finance, healthcare, and advertising, where there is a need to process large amounts of data in real-time.
Lightcast Skills Taxonomy
Looking for a specific skill? Search our library. Explore 35,000+ skills that we've collected from hundreds of millions of job postings, resumes, and online profiles.
The Lightcast Skills Taxonomy delivers clarity by allowing everyone to speak the same language. Use our APIs to articulate your skills needs, and leave the details to us: our dedicated team of taxonomists and engineers cleans, checks, and updates each entry so that you always have the most accurate and up-to-date picture of the labor market.
Are you a nonprofit pursuing a public good? Lightcast Skills APIs are freely available to you because we believe in using data for good and creating a labor market that works for everyone. Through the shared language of skills, we can enable a world where every worker and every job can find their best fits as efficiently and easily as possible.
Browse Skill Categories
Lightcast Skills Resources
Stop Predicting the Future. Start Preparing for It.
How Many Jobs Does a Data Center Create? Construction vs. Permanent Jobs
Connecting Students to What Comes Next
Get API Access
This skill is part of the Lightcast Skills Taxonomy, a library of over 35,000 job related skills. It is the standard used by higher education institutions, public sector organizations and Fortune 500 companies around the globe.