SQL Expert / Data Modeler Job at Miracle Software Systems (Miracle Heights)

Data Engineer

We are looking for a Data Engineer to join a data-intensive real estate/proptech...

Location

Salary:

Not provided

Ascendix Tech

Expiration Date

Until further notice

Requirements

Snowflake – Advanced level, including User-Defined Functions (UDFs), stored procedures, and performance optimization
Python – Proficient in data manipulation, automation, and scripting (pandas, SQL connectors)
SQL – Expert level, including query optimization
Data Modeling – Dimensional modeling (star/snowflake schemas), normalization (3NF)
OLTP & OLAP – Understanding of transactional vs. analytical database design
Data Quality – Data cleansing, validation, consistency checks
Real estate data (property types, comparable analysis)
Multi-source data integration and harmonization
KPI reporting and dashboards
Real estate or property data systems (preferred)

Job Responsibility

Design scalable data models for high-volume property data (2,600-6,500 properties/month)
Build and maintain data integration pipelines from multiple sources
Implement complex entity relationships and dynamic grouping
Optimize for both transactional and analytical workloads
Develop Snowflake UDFs and stored procedures for business logic

What we offer

20 paid vacation
5 paid sickness
B2B and remote cooperation
Career development and professional growth
Technical performance reviews and 360 Evaluation
Collaboration with a personal Direct Manager, Technical leads, and mentors
Udemy and Pluralsight subscription
Internal knowledge-sharing opportunities
Online and offline events & team-buildings
Friendly and supportive atmosphere

Fulltime

Senior Analytics Engineer II

Articulate is looking for a Sr. Analytics Engineer to join our amazing Data team...

Location

United States

Salary:

137700.00 - 206500.00 USD / Year

Articulate

Expiration Date

Until further notice

Requirements

8+ years of experience in data or analytics roles
At least 5 years in analytics engineering, preferably within a fast-paced tech company or data-driven organization
Expert in end-to-end data workflows, from data collection to analysis and presentation, with most expertise in data modeling
Confident in translating raw data to reusable, business-friendly data models
Proven experience owning and leading the creation of reliable, flexible data models in an enterprise data warehouse
Expertise in SQL (writing and analyzing complex queries)
Expertise in Data Build Tool (dbt)
Expertise in Looker/Tableau (defining data models and measures)
Experience building semantic layers using dbt, Looker, or Snowflake’s semantic tables
Ability to write complex SQL, run ad-hoc data discovery, and build data models

Job Responsibility

Provide flexible, trustworthy data models by transforming data from multiple sources with DBT, testing for quality, deploying to visualization tools such as Looker or Tableau, and publishing documentation
Collaborate directly with stakeholders to define problems and determine requirements for a solution
Set and maintain best practices for data models and processes, including project architecture and QA
Proactively identify gaps or design flaws in our data models, and bring recommendations for how to fix them
Own documentation of our tools and data, both for our team and for external users
Lead discovery on data tools and infrastructure, including setting goals for tooling, continuous analysis of existing tooling, and exploring new tools and features we may adopt
Participate as a technical leader in project planning, helping to create well-defined tasks to address data initiatives
Mentor more junior members of the data team
Represent the data team in some technical architecture and planning conversations
Identify and share data risks and dependencies in these contexts

What we offer

Bonus eligible
Robust suite of benefits

Fulltime

Data Engineer II

PagerDuty is looking for a Data Engineer II to join their global Enterprise Data...

Location

Portugal , Lisbon

Salary:

Not provided

PagerDuty

Expiration Date

Until further notice

Requirements

3+ years of experience working in data integration, pipelines, and data modeling
experience designing and deploying code in Data platforms in a cloud-based and Agile environment
knowledge and experience of relational databases and being capable of writing complex SQL
experience working with Cloud-based Data Warehousing Platform such as Snowflake or AWS, or Databricks
experience with Python and SQL
experience working with SQL, AWS S3, and ETL/Automation Workflow tools like Workato

Job Responsibility

translate business requirements into data models that are easy to understand
design, implement, and build pipelines that deliver data with measurable quality under the SLA
partner with business domain experts, data analysts, and engineering teams to build foundational data sets
be a champion of the overall strategy for data governance, security, privacy, quality, and retention
own and document foundational company metrics with a clear definition and data lineage
contribute to the data ecosystem and build a strong data foundation for the company
design, implement, and scale data pipelines that transform billions of records into actionable data models
provide hands-on technical support to build trusted and reliable domain-specific datasets and metrics

What we offer

competitive salary
comprehensive benefits package
flexible work arrangements
company equity
ESPP (Employee Stock Purchase Program)
retirement or pension plan
generous paid vacation time
paid holidays and sick leave
Dutonian Wellness Days & HibernationDuty
paid parental leave

Fulltime

Data Architect

The Data Architect will help build our enterprise data warehouse with SQL Server...

Location

United States , Brentwood

Salary:

Not provided

Ardent Health

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer/Data Science, Information Systems, or a related field, or equivalent work experience
5+ years of experience in data architecture, with a strong focus on building enterprise data warehouses and data integration
Expert experience in SQL Server on-prem
Experience designing PowerBI semantic models for multi-report support
Excellent communication and interpersonal skills, with the ability to interact effectively with stakeholders at all levels
Demonstrated ability to translate business requirements into technical specifications
Strong understanding of data modeling, data governance, and data quality best practices
Strong organizational skills and attention to detail
Ability to work independently and as part of a team in a fast-paced environment
Proven ability to manage multiple projects and priorities simultaneously

Job Responsibility

Develop and implement an enterprise data architecture strategy, ensuring alignment with business objectives
Design, build, and maintain PowerBI semantic models, datamarts, and data integration processes using Cloud & SQL Server on-prem solutions
Collaborate with stakeholders to gather and document data requirements, ensuring the architecture meets current and future business needs
Work with our new Data Governance team to design and implement data governance and data quality best practices for the EDW to ensure the integrity and reliability of data
Design and help develop the more complex ETL processes to support ETL/ELT from various data sources
Create and maintain technical documentation including data models, data flow diagrams, and data integration specifications
Provide guidance and support to development teams on data-related projects and initiatives
Monitor and optimize the performance of the data architecture, identifying and resolving issues as needed
Stay informed of industry best practices and emerging technologies in data architecture, quality, and analytics
Provide guidance to leadership and stakeholders on data-related tools and processes

Fulltime

Data Engineer

We are looking for a Data Engineer to join a data-intensive real estate/proptech...

Location

Portugal

Salary:

Not provided

Ascendix Tech

Expiration Date

Until further notice

Requirements

Snowflake – Advanced level, including User-Defined Functions (UDFs), stored procedures, and performance optimization
Python – Proficient in data manipulation, automation, and scripting (pandas, SQL connectors)
SQL – Expert level, including query optimization
Data Modeling – Dimensional modeling (star/snowflake schemas), normalization (3NF)
OLTP & OLAP – Understanding of transactional vs. analytical database design
Data Quality – Data cleansing, validation, consistency checks
Real estate data (property types, comparable analysis)
Multi-source data integration and harmonization
KPI reporting and dashboards
Real estate or property data systems (preferred)

Job Responsibility

Design scalable data models for high-volume property data (2,600-6,500 properties/month)
Build and maintain data integration pipelines from multiple sources
Implement complex entity relationships and dynamic grouping
Optimize for both transactional and analytical workloads
Develop Snowflake UDFs and stored procedures for business logic

What we offer

Health insurance
Vacation days: 22 days per year
Paid Time off Benefits
Meal Card
Friendly and calm atmosphere in the company
Individual development plan
Technical leads and mentors
Open management and well-established processes
Regular performance reviews
Free access to the company accounts on educational platforms (Udemy, Pluralsight)

Fulltime

Traineeship Data Visualization Consultant

The traineeship starts in September 2025 with an intensive 10-week training prog...

Location

Belgium , Brussels

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Recently graduated or about to graduate with a bachelor's or master's degree in a data-related field
Eager to learn and excited to expand knowledge across various data domains (SQL, Data Modelling, Visual Design Principles)
Strong communication skills and enjoy working in a consultancy environment
Analytical, critical, and enjoy collaborating with others to find solutions
Want to become an expert in the most prominent visualization tools such as Tableau and Microsoft Power BI
Strive for creative visualization solutions in a challenging business context
Fluent in Dutch and English
knowledge of French is a plus

Job Responsibility

Guide clients in their search for the ideal data visualization story
Bring deeper data issues to the surface and answer them with a targeted and creative visualization solution
Pay attention to the end-to-end quality of your solution
Work in teamwork with different data profiles
Let data speak for itself in a unique and distinctive way

What we offer

Access to Sopra Steria training and personal development academy
Company car lease or mobility budget
Company laptop and smartphone
Monthly office drinks
Insurance coverage
Meal vouchers
Competitive salary with an indefinite contract

Fulltime

Data Modeler

We are looking for a skilled Data Modeler to join our team. The ideal candidate ...

Location

India

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Expert-level knowledge of data modeling techniques (conceptual, logical, physical) and normalization/denormalization
Strong experience with dimensional modeling (star, snowflake) and OLAP design principles
Proficiency in SQL for schema design, constraints, indexing, and performance optimization
Hands-on experience with data modeling tools (e.g., ERwin, PowerDesigner, or equivalent)
Deep understanding of data warehousing, metadata management, and data governance frameworks
Familiarity with Power BI data modeling and integration with semantic models
Knowledge of ETL processes and ability to design models that support efficient data movement
Strong analytical and problem-solving skills with attention to detail
Excellent communication and collaboration skills
ability to work in a 2 PM–11 PM IST shift

Job Responsibility

Design and implement enterprise-grade data models to support analytics, reporting, and operational systems
Develop conceptual, logical, and physical data models aligned with business requirements and best practices
Collaborate with stakeholders to gather requirements and translate them into scalable data architecture
Define and enforce data modeling standards, naming conventions, and governance policies
Optimize data models for performance, scalability, and maintainability across multiple platforms
Work closely with ETL developers to ensure seamless integration between data models and pipelines
Document data models, relationships, and metadata for transparency and compliance
Conduct impact analysis for schema changes and manage version control of data models
Support Power BI semantic layer design and ensure compatibility with reporting needs
Provide guidance and mentorship on data modeling best practices within the team

Fulltime

Senior Data Science Analyst

The Data Science Senior Analyst is a seasoned professional role. Applies in-dept...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years experience in business and data analysis, process improvement and project management
Ability to effectively use complex analytical, interpretive and problem solving techniques
Demonstrated interpersonal, verbal and written communication skills
Methodical attention to detail
Experience using tools for statistical modeling of large data sets
Hands on coding experience with Python, SQL is mandatory (proficiency with Libraries such as Pandas, NumPy required)
Experience using tools for statistical modeling of large data sets
Expert background in utilizing SQL/Python to extract, manipulate, and analyze datasets
Preferable experience with tools such as Tableau, PySpark, Airflow, Git, JIRA and Confluence
Experience in Data Modelling, ETL technologies, Data pipeline

Job Responsibility

Developing and implementing advanced analytical models and solutions
Strong coding skills:Proficiency in Python, PySpark, and SQL for data analysis and model development
Big data expertise:Working knowledge of big data platforms like Cloudera and Databricks
Model development:Experience in building and deploying machine learning and AI models
Generative AI knowledge:Familiarity with generative AI techniques and their applications
Collaboration:Working with cross-functional teams to identify opportunities and deliver data-driven insights
Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications

What we offer

Extensive on-the-job training and exposure to senior leaders
More traditional learning
Opportunity to give back and make a positive impact through volunteerism

Fulltime

SQL Expert / Data Modeler

Miracle Software Systems

Location:
India , Miracle Heights

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 20, 2026

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