Junior Data Engineer

Description

Summary : Position Overview :

Position Overview :

We're seeking a passionate Junior Data Engineer to join our expanding Data Engineering team and aid our transition to a 'Data as a Product' approach.

The ideal candidate will be responsible for optimizing data systems, translating business needs into technical specifications, and collaborating in the development of our analytical products using Azure Data Services.

A solid understanding of cloud service models (PaaS, IaaS, SaaS), practical knowledge of SQL and database concepts, and capability in polyglot development with a language like Python, Java, or Scala is essential.

Function Related Activities / Key Responsibilities :

Optimizing and expanding data pipeline and data flow. Translating business needs into accurate technical specifications.

Collaborating in the software design and development of analytical products using Azure Data Services. Contributing to the design and development of data-pipelines, building semantic models, and marts / cubes.

Ensuring the architectural integrity of our platform while supporting our software developers, database architects, data analysts, and data scientists on data initiatives.

Requirements :

University Degree or close to graduating (last semester)

1 year Data Engineering related work experience.

Good understanding of cloud service models : PaaS, IaaS, SaaS.

Good working knowledge of SQL and database concepts

Polyglot development : Capable of developing in at least one programming language like Python, Java, or Scala.

Experience in data modeling techniques and data structures

Desired Qualifications :

Experience with DevOps and CI / CD pipelines for deploying services using Github Actions

Experience with Big Data migrations / transformations programs in the Data Warehousing / Business Intelligence areas.

Experience working with public clouds like Azure, AWS etc.

Azure Certifications :

or others related to the position.

Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.

Functional Skills :

Expertise in SQL and Other Databases : Data engineers need to be comfortable writing SQL queries and managing relational and non-relational databases.

Programming Knowledge : Familiarity with programming languages such as Python, Java, or Scala is crucial for creating and managing large datasets and applications.

Knowledge of Cloud Platforms : Experience with platforms like AWS, Google Cloud, or Microsoft Azure is often a must-have for modern Data Engineering roles.

ETL Development : Ability to design, build and maintain ETL pipelines.

Data Warehousing : Understanding of concepts such as data staging, ETL, data marts, and star schema.

Soft Skills :

Problem-Solving : Ability to troubleshoot and resolve complex data-related issues.

Communication : Proficient in clearly articulating complex ideas to both technical and non-technical team members and stakeholders.

Teamwork : The ability to collaborate efficiently with a diverse team of professionals.

Attention to Detail : Data engineering requires meticulousness to identify slight changes or errors in large amounts of data.

Time Management : Skill to effectively juggle multiple tasks and deadlines without compromising the quality of work.

Adaptability : Capacity to adjust quickly to changes in technology, tools and industry standards.

Continuous Learning : Eagerness to stay updated on the latest technological developments and implement new learnings.

Skills :

Big Data, Cloud Based Services, Data Engineering, Data Flows, Data Pipelines, Data Services, Data Solutions, Software Development

WeWork Reforma Latino (97001), Mexico, Ciudad de Mexico, Ciudad de Mexico Lead Software Engineer , Full We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies As a Capital One Lead Software Engineer , you'll have the opportunity to be on the forefront of driving

Responsibilities. Lead Quality Engineer will be responsible for. o. Leading and managing the quality cross functional teams to ensure high quality software delivery. o. Additionally, you will mentor and guide junior

Position Overview. We' re seeking a passionate Junior Data Engineer to join our expanding data engineering analysts, and data scientists on data initiatives. Data Warehousing. Understanding of concepts such as data staging, ETL, data marts, and star schema. large amounts of data . Skills. Big Data . Cloud Based Services. Data Engineering. Data Flows. Data Pipelines. Data Services

Driving innovation in language services, Welocalize delivers high quality training data transformation A Staff Machine Learning Engineer plays a pivotal role in leading and architecting complex machine learning Mentors Junior Engineers. Actively mentors junior machine learning engineers, providing guidance and Success Indicators for a Staff Machine Learning Engineer Innovative and Effective Solutions. success big data technologies like Hadoop, Spark, or Kafka.

Drive artwork execution on regional basis to make more efficient that process with GBU. Market data insights. Accountable to develop and maintain updated Market data reports and generate data to decision Lead junior marketing projects. Your Profile. Education. University Degree Business Administration, Marketing, Industrial Engineer or similar). Skills. Advanced English

The Civil Engineer and Land Surveyor will be responsible for a range of duties, including site inspection data analysis, and management of project timelines. Analyze data to determine project requirements and timelines Manage project timelines and deliverables Develop and maintain strong working relationships with team members Provide oversight and guidance to junior

We are looking for a Data Engineer to join our Team at AES. Data engineers work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for data scientists new data validation methods and data analysis tools.Ensure compliance with data governance and security storage. Not all types of data should be stored the same way, especially when it comes to big data . As you design data solutions, know when to use a data lake versus a data warehouse.Automation and scripting