Azure Data Developer Job at Coca-Cola HBC (Cairo)

EDW ETL Developer - Azure Data Engineer

We are seeking a Senior Azure Data Engineer to help design, build, and operate o...

Location

United States , Springfield

Salary:

50.00 - 53.00 USD / Hour

Myticas Consulting

Expiration Date

Until further notice

Requirements

Deep hands-on expertise with Azure Data Factory: pipelines, datasets, linked services, triggers, parameterization, mapping data flows, and all three Integration Runtime types (Azure, Selfhosted, SSIS)
Strong Experience in Data Bricks and PySpark
Production experience with one or more of: Azure Synapse Analytics (Dedicated and Serverless SQL Pools, Spark Pools) OR Azure Databricks (Delta Lake, Unity Catalog) OR Microsoft Fabric (Warehouse, Lakehouse, OneLake)
Strong working knowledge of Azure Data Lake Storage Gen2 (hierarchical namespace, RBAC + ACLs, lifecycle management, security)
Experience with Azure Key Vault, Azure AD / Entra ID (including managed identities and service principals), and private networking (VNet integration, private endpoints)
Monitoring and troubleshooting with Azure Monitor, Log Analytics, and KQL
Advanced SQL — window functions, CTEs, query optimization, execution plan analysis, performance tuning
Strong Python for data engineering — pandas, PySpark, REST API integration, unit testing (pytest)
Proficient in T-SQL
familiarity with Spark SQL, KQL, PowerShell, and Bash shell scripting

Job Responsibility

Design and build robust, reusable, parameter-driven ingestion and transformation pipelines using Azure Data Factory, Synapse Pipelines, Data Bricks and/or Microsoft Fabric Data Factory
Implement medallion architecture (Bronze / Silver / Gold) on Azure Data Lake Storage Gen2 using Delta Lake, Parquet, and structured streaming patterns
Build performant ELT workflows that leverage pushdown to source systems (Synapse Dedicated SQL Pool, Azure SQL, Teradata) where appropriate
Develop and optimize PySpark notebooks and jobs on Azure Databricks or Synapse Spark
Design dimensional models (Kimball star/snowflake) and data vault patterns for analytics consumption
Implement Slowly Changing Dimensions (Type 1/2/3), Change Data Capture, and late-arriving data patterns
Tune distributed SQL workloads in Synapse Dedicated SQL Pool / Fabric Warehouse, including distribution keys, partitioning, and clustered column store indexes
Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines, ARM/Bicep/Terraform) across Dev / SIT / UAT / Prod environments
Instrument pipelines with robust logging, auditing, and monitoring using Azure Monitor, Log Analytics, and KQL
Define and enforce coding standards, code review practices, branching strategies, and release management

Fulltime

Senior Data Developer (Azure)

We are looking for a highly skilled and experienced Senior Azure Data Developer ...

Location

Egypt , Cairo

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in computer science, information technology, data science, or a related field (or an equivalent of 7+ years of practical experience in a tech-domain)
Hands-on experience with MS Power BI, MS PowerApps, MS Azure Data Factory, MS Azure Data Lake Store, SQL Database (T-SQL), DAX & Power Query M (3+ years)
Proven track record of implementing proof-of-concept (POC) backend solutions
Expert knowledge with cloud platforms (Azure, Google Cloud Storage, Amazon), preferably Microsoft Azure – with a focus on data warehousing & backend development
Strong programming skills in languages such as C#, .NET, Python, Scala or Java
Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs)
Familiarity with big data technologies such as Hadoop, Spark, and Hive as well as strong knowledge with data manipulation frameworks such a PySpark
Strong analytical & problem-solving abilities, as well as good communication skills
Strong willingness to learn and adapt to new technologies and tools
Good proficiency in English as a day-to-day business language is a must.

Job Responsibility

Assist in the design, development, and maintenance of ETL (Extract, Transform, Load) processes using Azure Data Factory
Implement data ingestion processes from various data sources into Azure data storage solutions
Work with Azure SQL Database, Azure Data Lake Storage, and Hive & Databricks to store and manage large datasets (Terabytes of data)
Ensure data integrity and availability by implementing appropriate storage solutions
Integrate data from various sources, ensuring accuracy, completeness, and consistency
Collaborate with data scientists and analysts to understand data requirements and provide necessary support
Contribute to the strategy, design and development of our Enterprise and Operational Reporting, providing insights and supporting decision making for end users
Integrate & transform data from various data systems into structures that are suitable for building analytical solutions
Design, develop and implement Azure-based solutions connecting certified and validated data sources to Power BI front-end visualizations and creating a single source of truth for reporting

What we offer

Development opportunities
Equal opportunity employer
IT Equipment
Learning programs
Work with iconic brands
Supportive team
Volunteering Opportunities
Wellbeing program

Azure Data Factory Developer

Design, develop, and maintain cloud-based ETL and ELT pipelines using Azure Data...

Location

India , Miracle Heights

Salary:

Not provided

Miracle Software Systems

Expiration Date

Until further notice

Requirements

Azure Data Factory
Azure SQL
SQL
Python
Pyspark

Job Responsibility

Design, develop, and maintain cloud-based ETL and ELT pipelines using Azure Data Factory for enterprise data integration needs
Build scalable data ingestion workflows to move data from hybrid sources including on-premise systems, Azure SQL, and cloud platforms into data lakes and warehouses
Develop and manage ADF pipelines, triggers, integration runtimes, and mapping data flows to support automated processing
Implement orchestration and scheduling mechanisms for event-driven and recurring data workflows
Perform data transformation and cleansing using ADF Data Flows to prepare structured datasets for reporting and analytics
Write and optimize SQL queries for data extraction, transformation, validation, and performance improvement
Utilize Python and PySpark for advanced processing, automation, and data engineering requirements
Monitor pipeline execution, troubleshoot failures, and ensure reliability, scalability, and operational efficiency of data systems
Collaborate with analytics, BI, and engineering teams to deliver high-quality and business-ready data solutions

Fulltime

Azure Data Factory Developer

This role will be responsible for creating Data orchestration with Azure Data Fa...

Location

Salary:

Not provided

Think360.ai

Expiration Date

Until further notice

Requirements

Bachelor or master’s degree in computer science or Data engineering
At least 7-8 years of software development experience
1 year of experience on Azure Data factory
Experience working with at least 1 project on Azure Data Factory
Expert level knowledge on Azure Data Factory
Expert level knowledge of SQL DB & Datawarehouse
Should know at least one programming language
Should be able to analyze and understand complex data
Knowledge of Azure data lake is required
Knowledge of other Azure Services like Analysis Service, SQL Databases will be an added advantage

Job Responsibility

Understand business requirement and actively provide inputs from Data perspective
Understand the underlying data and flow of data
Build simple to complex pipelines & dataflows
Work with other Azure stack modules like Azure Data Lakes, SQL DW
Should be able to implement modules that has security and authorization frameworks
Recognize and adapt to the changes in processes as the project evolves in size and function

Fulltime

Technical Support Engineer - Azure Data Factory / Data Integration

Within CE&S, the Customer Service & Support (CSS) organization builds trust and ...

Location

Malaysia , Kuala Lumpur

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology (IT), or related field AND 1+ years of technical support, technical consulting experience, or information technology experience
OR 3+ years of technical support, technical consulting experience, or information technology experience
OR equivalent experience
Azure Data Factory (ADF)
Azure Synapse Analytics / Microsoft Fabric Pipeline
Data Lake
Relational Database Management System (Microsoft SQL Server / Oracle Database / MySQL / IBM Db2 / SAP)
Big Data or Analytics Products (Spark / Azure HDInsight / Azure Data Lake Analytics / Azure Synapse Analytics / Databricks / Google BigQuery)
Pipeline and ETL/ELT Skills
Building and orchestrating pipelines (ADF / Synapse / Fabric)

Job Responsibility

Response and Resolution: You own, investigate and solve customer technical issues. You collaborate within and across teams, leveraging troubleshooting tools and practices
Readiness: You lead or participate in building communities with peer delivery roles and, where appropriate, share your knowledge
You develop specific technical and professional proficiency to enable you to resolve customer issues, through training and readiness
Product/Process Improvement: You identify potential product defects and escalate appropriately to resolve, contributing to Microsoft product improvements

Fulltime

Azure Data Engineer

Location

United States , Shrewsbury

Salary:

Not provided

Ventois

Expiration Date

Until further notice

Requirements

Bachelor's degree or its equivalent in computer science, computer information systems, information technology, or a combination of education and experience equating to the U.S. equivalent of a bachelor's degree in one of the aforementioned subjects
Analyze, manipulate, and process large sets of structured and semi-structured data including healthcare datasets (claims, patient, and provider data) using Python (PySpark), SQL, and Spark SQL within the Azure data platform
Apply data mining, data modeling, and statistical analysis techniques to extract and analyze information from large datasets stored in Azure Data Lake Storage (ADLS) and Delta Lake across Bronze, Silver, and Gold layers
Identify business problems and management objectives that can be addressed through data analysis
translate business requirements into analytical workflows and data solutions using Azure Data Factory and Azure Databricks
Develop and maintain data models and analytical datasets to support reporting, business intelligence, and downstream data consumption
identify relationships, trends, and factors that could affect the results of analysis
Apply feature selection and data profiling methods to identify patterns, anomalies, and data quality issues that may impact analytical outcomes
recommend data-driven improvements
Clean, manipulate, and prepare raw data for analysis using ETL/ELT processes

Job Responsibility

Analyze, manipulate, and process large sets of structured and semi-structured data including healthcare datasets (claims, patient, and provider data) using Python (PySpark), SQL, and Spark SQL within the Azure data platform
Apply data mining, data modeling, and statistical analysis techniques to extract and analyze information from large datasets stored in Azure Data Lake Storage (ADLS) and Delta Lake across Bronze, Silver, and Gold layers
Identify business problems and management objectives that can be addressed through data analysis
translate business requirements into analytical workflows and data solutions using Azure Data Factory and Azure Databricks
Develop and maintain data models and analytical datasets to support reporting, business intelligence, and downstream data consumption
identify relationships, trends, and factors that could affect the results of analysis
Apply feature selection and data profiling methods to identify patterns, anomalies, and data quality issues that may impact analytical outcomes
recommend data-driven improvements
Clean, manipulate, and prepare raw data for analysis using ETL/ELT processes
implement data quality frameworks including validation rules, cleansing, and reconciliation techniques to ensure accuracy and consistency

Fulltime

Developer - Azure & .NET - VOIS

We are seeking a skilled Developer with over three years of hands-on experience ...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

3+ years of hands-on experience in Azure-based web application development using C# and .NET
Proficient in working with .NET Core, .NET Framework, and modern data access technologies
Comfortable designing and consuming APIs and working with relational databases
Experienced in front-end technologies such as AngularJS, JavaScript, HTML5, and CSS3
Knowledgeable in secure coding practices, performance optimisation, and cloud-native application design
A collaborative team member who values code quality, continuous learning, and constructive feedback

Job Responsibility

Design, develop and maintain web applications using .NET Core and .NET Framework (4.5 / 4.8)
Implement Entity Framework and Entity Framework Core for effective data access and management
Develop and integrate RESTful APIs and SOAP services to enable system interoperability
Write optimised SQL queries, stored procedures, and manage database schemas using SQL Server
Build responsive user interface components using AngularJS (1.0), JavaScript, HTML5, and CSS3
Apply design patterns, SOLID principles, and clean architecture practices to ensure maintainable and extensible code
Deploy, monitor, and support applications on Azure Cloud, including App Services, Azure SQL, and Azure Functions
Ensure application security, scalability, and performance across all layers
Participate in code reviews, conduct unit testing, and uphold high-quality coding standards
Troubleshoot, debug, and resolve application and database performance issues

What we offer

Opportunities to work on enterprise-scale, cloud-based applications within a global organisation
Exposure to modern Azure services and evolving digital platforms
A collaborative, agile working environment that supports professional growth and knowledge sharing
The chance to contribute to solutions used across multiple Vodafone markets worldwide

Azure Data Engineer

We are currently seeking a Azure Data Engineer to join our team in Bangalore, Ka...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

6+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects
5+ years of demonstrated production experience in core data platforms such as Databricks and Azure related data services
5+ years of expertise in SQL and Python (Spark) as data manipulation languages
5+ years of hands-on knowledge of Cloud and Distributed Data Storage, including ADLS
5+ years of Data integration technologies, encompassing Spark, Kafka, eventing/streaming, Azure DataFactory, Azure Synapse, and Databricks
Showcase professional written and verbal communication skills to effectively convey complex technical concepts
Undergraduate or Graduate degree preferred

Job Responsibility

Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack
Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure
Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations
Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
Adhere to Agile practices throughout the solution development process
Design, build, and deploy databases, data pipelines and data stores to support organizational requirements

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Azure Data Developer

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