Implement data assets for serving data – Semantic Layer. Report and dashboard developers, acting as a subject-matter expert (SME) on the designed data assets.…
Implementing migration tools to load legacy data into PLM; 2-5 years of professional experience in software development; Knowledge in Python, C#, JavaScript;…
Familiarity with SQL, reporting tools, or data analysis is a plus. The ideal candidate will have strong analytical skills, excellent communication abilities,……
Deep expertise in designing and building data warehouses and big data analytics systems. Practical experience manipulating, analyzing and visualizing data.…
Implement data assets for serving data – Semantic Layer. Report and dashboard developers , acting as a subject-matter expert (SME) on the designed data assets.…
Exposure to Snowflake for cloud-based data warehousing and analytical workloads. Working knowledge of Streamlit for developing interactive data and AI-driven……
Develop and maintain internal tooling and automation that improves developer productivity and security practices. If you like what we’re saying, keep reading!…
Strong ability to build reliable services, tools, and data pipelines that make complex data usable at scale. Join Proofpoint’s engineering organization and help……
With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and……
We are continuously looking for experienced Data Science professionals who want to support and guide our students on their path to becoming professional……
Familiarity with data security and validation concepts like expected ranges and jurisdictional data segregation. Strong proficiency with: Java/Spring Boot.…
Collaborate with designers, QA engineers, and backend developers. As a Software Developer, you will be part of a collaborative team building scalable, reactive……
Design and implement APIs and data models. Strong knowledge of APIs, databases, and data modeling. This role is hands-on and focused on building and maintaining……
Strong understanding of developer experience principles and best practices. Mentor internal teams on effective developer communication and community engagement……
Additionally, we are responsible for collecting and analyzing data to optimize product quality. This specific team is responsible for the functional……
Collaborate with other developers and QA to design scalable, maintainable. Experience with enterprise, web-based data integration including transactions,.…
We are continuously looking for experienced QA Engineering professionals who want to support and guide our students on their path to becoming professional……
Experience with test data management and environment configuration. Collaborate with Development Teams: Work closely with developers, product managers, and……
Bachelor’s degree in computer science, computer engineering, robotics, mathematics, or a related science field. Strong programming skills in C++ and Python.…
Strong understanding of developer experience principles and best practices. Mentor internal teams on effective developer communication and community engagement……
Collaborate with Integration Developers on API contracts and shared data flows. Design and implement backend logic, data models, authentication, and row-level……
5+ years of experience in data science, analytics, engineering research, or software development. Familiarity with cloud environments and data platforms.…
DevOps Engineers are also responsible for collecting meticulous data throughout the software development lifecycle and identifying optimizations that enable……
This is a full-time teaching role with an expectation of 40 hours per week. The schedule can be flexible, but you must be consistently available to support……
5-8 years of hands-on experience in data engineering or BI data modeling. Collaborate with data analysts, BI developers, and business stakeholders to translate……
Experience with data wrangling libraries such as Pandas, NumPy, Matplotlib, etc. We are continuously looking for experienced Data Analysis professionals who……
This role focuses on building automation, maintaining observability, and supporting incident response to keep customer-facing systems performing at their best.…
Experience with big data platforms such as Hadoop and Kafka. Azumo is currently looking for highly motivated QA Automation Engineers to test in a mix of……
As a Data Analytics Intern, you will be expected to perform the following activities in alignment with your experience level:
Gather, understand, and document functional and non-functional requirements from stakeholders to support analytical solutions
Write or collaborate on the creation of business requirements documents (BRDs) detailing solution characteristics, business expectations, and anticipated value.
Create diagrams that illustrate high-level data domains and key concepts involved in solution design.
Document required measures and KPIs to support business objectives, including clear definitions and calculation logic.
Explore and understand data assets to be leveraged as sources for analytical solutions
Build and maintain detailed inventories of data assets required to deliver analytical solutions.
Profile data assets to understand their granularity, domain context, business meaning, definitions, data quality characteristics, and interrelationships.
Design solution architecture to consume, transform, and deliver data for analytical solutions – Data Marts / Data Lake
Design scalable and reusable logical data models for analytical repositories using relational and dimensional modeling techniques, integrating and conforming data from multiple sources.
Document entities, attributes, and relationships using logical data model diagrams.
Define detailed data movement requirements to populate modeled entities, including column mappings, joins, load strategies, and load dependencies.
Perform internal testing and system integration testing (SIT) on developed data assets.
Collaborate with cross-functional teams to deliver end-to-end analytical solutions, including:
Data Governance teams for integration of master and reference data
Data Services / Engineering teams for ETL development
Business stakeholders for user acceptance testing (UAT)
Data Quality teams to support periodic data quality assessments
Report and dashboard developers, acting as a subject-matter expert (SME) on the designed data assets
Production Support teams for troubleshooting and issue resolution
Implement data assets for serving data – Semantic Layer
Design and implement semantic-layer data assets to support reports, dashboards, self-service analytics, and other downstream consumption scenarios.
Create and maintain data dictionaries and documentation to enable and empower data consumers.
Demonstrate a solution‑owner mindset
Collaborate in backlog refinement, maintenance, and prioritization activities.
Actively participate in agile ceremonies, contributing to discussions on current work, next steps, dependencies, and risks.
Provide work breakdowns, effort estimates, and expected delivery timelines for assigned tasks.
Build and support diverse, high‑performing teams
Work effectively with a high degree of independence in a remote or hybrid environment.
Continuously expand professional value by learning emerging technologies and concepts and applying them to improve existing products, processes, and outcomes.
Required Qualifications – Experience, Skills, and Knowledge
Completion of at least the 2nd year and current enrollment in the 3rd or 4th year of an undergraduate program in Mathematics, Computer Science, Statistics, Business Management, Information Systems, or a related field
English proficiency at an advanced level (C1 or equivalent)
SQL: basic data querying (DQL) skills
Power BI: basic experience with report development or semantic model creation
Preferred Qualifications
Familiarity with Data Warehouses, Data Lakes, or Data Lakehouse architectures
Knowledge of relational and dimensional data modeling techniques
Exposure to agile methodologies such as SCRUM and tools like Azure DevOps
Awareness of cloud computing platforms such as Azure, Google Cloud, or Amazon Web Services, including Databricks
Interest or foundational knowledge in AI concepts, including prompting techniques or agent development
Exposure to Microsoft Fabric
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