Qureos Mentor

Tezo

<div><div>Tezo is a new generation Digital &amp; AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.</div><div></div><div><br>
Sr Data Engineer &ndash; Azure &amp; Snowflake</div><div>
Location: Hyderabad</div><div>
Experience Level: 8&ndash;13 Years</div><br>
<div></div><ul><li>
8+ years of experience in data engineering and ETL development.</li><li>
Strong proficiency in SQL (performance tuning, window functions, stored procedures).</li><li>
Hands-on experience with Azure Data Factory, Azure Synapse, Azure Data Lake, and Databricks.</li><li>
Snowflake expertise in data loading, transformations, and query optimization.</li><li>
Strong Python skills, including working with Pandas / PySpark dataframes in Jupyter notebooks.</li><li>
Experience with data orchestration, workflow scheduling, and CI/CD for data pipelines.</li><li>
Good understanding of data modeling principles, data governance, and metadata management.</li></ul><div></div><div><br>
Key Responsibilities</div><div>
Data Engineering &amp; Pipeline Development</div><ul><li>
Design, build, and maintain scalable and reusable data pipelines for batch and real-time ingestion using Azure Data Factory, Databricks, or PySpark.</li><li>
Develop and optimize ETL/ELT workflows to extract data from heterogeneous sources (files, APIs, databases, applications).</li><li>
Build and maintain data processing logic using Python, PySpark, and SQL.</li><li>
Work with dataframes in Jupyter notebooks for transformation, validation, and feature creation.</li></ul><div>
Data Architecture &amp; Cloud Integration</div><ul><li>
Implement and maintain data solutions on Azure and Snowflake.</li><li>
Design and manage data storage layers &mdash; staging, raw, curated, and consumption zones within Data Lake / Lakehouse architecture.</li><li>
Integrate structured and semi-structured data (JSON, Parquet, CSV, etc.) from multiple systems and sources.</li><li>
Collaborate with architects and modelers to align pipelines with data models and governance standards.</li></ul><div>
Performance Optimization &amp; Data Quality</div><ul><li>
Optimize pipelines for performance, scalability, and cost efficiency.</li><li>
Implement data validation, error handling, and audit mechanisms in ETL workflows.</li><li>
Participate in data profiling and quality assessments to ensure reliability and accuracy.</li></ul><div>
Collaboration &amp; Stakeholder Engagement</div><ul><li>
Work closely with data modelers, analysts, and business teams to translate functional requirements into technical solutions.</li><li>
Participate in code reviews, architecture discussions, and Agile sprint ceremonies.</li><li>
Document processes, data flow diagrams, and technical designs.</li></ul></div><div></div>

Senior Data Engineer - Azure & Snowflake

<div><div>Tezo is a new generation Digital &amp; AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.</div><div></div><div><b><br>
Job Description<br>
</b></div><div></div><br>
<ul><li><b>6+ years</b> of hands-on experience in <b>Power BI report and dashboard development</b>.</li><li><b>
Expert-level DAX</b> skills &ndash; measures, calculated columns, advanced time intelligence, and performance tuning.</li><li>
Strong <b>data modeling skills</b> (Star/Snowflake schemas, normalization, relationships, hierarchies).</li><li>
Proficient in <b>Power Query (M)</b> for data shaping and transformation.</li><li>
Strong SQL skills with experience in querying and optimizing large datasets.</li><li>
Experience connecting Power BI to <b>Azure data sources</b> &ndash; Data Lake, Synapse, SQL DB, and Data Factory.</li><li>
Hands-on experience with <b>Power BI Service</b>, including workspace management, dataset refreshes, and security.</li></ul><div></div><div><b><br>
Key Responsibilities</b></div><div><b>
Power BI Development &amp; Visualization</b></div><ul><li>
Design, develop, and deploy <b>interactive Power BI reports and dashboards</b> that meet business and analytical needs.</li><li>
Build complex <b>data models in Power BI</b>, integrating multiple data sources (SQL, Azure Synapse, Data Lake, APIs).</li><li>
Write and optimize <b>advanced DAX expressions</b> for measures, KPIs, and calculated columns.</li><li>
Create dynamic and responsive <b>visualizations, bookmarks, tooltips, drill-throughs, and report-level navigation</b>.</li></ul><div></div><div><b><br>
Data Modeling &amp; Architecture</b></div><ul><li>
Design <b>semantic data models</b> (star/snowflake schema) optimized for Power BI performance and usability.</li><li>
Collaborate with <b>data engineers and modelers</b> to ensure efficient data pipelines feeding into Power BI datasets.</li><li>
Implement <b>Row-Level Security (RLS)</b>, data refresh strategies, and performance optimization techniques.</li><li>
Leverage <b>Power Query (M Language)</b> for data transformation and cleansing.</li></ul><div></div><div><b><br>
Governance, Standards &amp; Automation</b></div><ul><li>
Implement <b>Power BI governance best practices</b>, including version control, workspace management, and usage monitoring.</li><li>
Define and maintain <b>data dictionaries</b>, <b>measure templates</b>, and <b>reporting standards</b> for consistent delivery.</li><li>
Automate report deployments and refreshes using <b>Power BI Service, Gateways, and Azure DevOps pipelines</b>.</li></ul><div></div><div><b><br>
Stakeholder Collaboration</b></div><ul><li>
Partner with business users, analysts, and executives to understand key metrics, KPIs, and reporting expectations.</li><li>
Translate business requirements into visually appealing and technically efficient dashboards.</li><li>
Conduct <b>user training, demos, and handover sessions</b> to ensure adoption and self-service BI maturity.</li><li>
ong understanding of <b>data visualization principles</b> and UI/UX design for dashboards.</li></ul></div><div></div>

Power BI Developer – Data Visualization & Analytics

<div><div>Tezo is a new generation Digital &amp; AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.</div><div></div><div><b><br>
Data Modeler &ndash; Azure Data Engineering</b></div><div><b>
Location: Hyderabad</b></div><div><b>
Experience Level: 8&ndash;13 Years</b></div><div>
</div><ul><li><b>
12+ years</b> of experience in data management and data architecture, including <b>5+ years</b> focused on <b>data modeling</b>.</li><li>
Expertise in <b>dimensional modeling (Star/Snowflake)</b>, <b>normalized models</b>, and <b>data vault / data lake modeling</b>.</li><li>
Strong experience with <b>SQL</b> and <b>Azure Cloud</b> ecosystem &mdash; Azure Synapse, Data Factory, Data Lake, SQL DB, Databricks.</li><li>
Proven experience designing data models for <b>enterprise data warehouses, data lakes, and analytics platforms</b>.</li><li>
Experience working with <b>business glossary, metadata management, and data catalog tools</b> (e.g., Purview, Collibra).</li><li>
Knowledge of <b>ETL/ELT processes</b>, <b>data pipelines</b>, and <b>data integration patterns</b>.</li><li>
Excellent communication, stakeholder management, and documentation skills.</li></ul><div><b>
</b></div><div><b>
Key Responsibilities</b></div><ul><li><b>
Data Modelling &amp; Architecture</b></li><li>
Design, develop, and maintain <b>conceptual, logical, and physical data models</b> for data warehouse, data lakehouse, and transactional systems.</li><li>
Implement and optimize <b>dimensional models (star/snowflake)</b> and <b>data vault/lakehouse models</b> aligned with business needs.</li><li>
Define and enforce <b>data modeling standards</b>, naming conventions, and metadata management practices.</li><li>
Collaborate with architects to define the <b>data architecture blueprint</b>, ensuring scalability, governance, and performance.</li><li><b>
Cloud Data Engineering (Azure)</b></li><li>
Partner with Azure data engineers to implement data models using services such as <b>Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, Data Factory, and Databricks</b>.</li><li>
Contribute to the design and optimization of <b>data ingestion, transformation, and orchestration pipelines</b> in Azure.</li><li>
Participate in <b>data governance</b>, <b>master data management (MDM)</b>, and <b>data quality initiatives</b>.</li><li><b>
Collaboration &amp; Stakeholder Engagement</b></li><li>
Work with business teams and data analysts to understand reporting and analytical requirements.</li><li>
Partner with enterprise architects to align modeling practices with data strategy and enterprise standards.</li><li>
Document data models, lineage, and definitions using enterprise metadata tools.</li></ul></div>

Data Modeler - Azure Data Engineering

Join Tezo and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Tezo

ABOUT_COMPANY

Senior Data Engineer - Azure & Snowflake

Power BI Developer – Data Visualization & Analytics

Data Modeler - Azure Data Engineering