Data Engineer - Azure Job at NTT DATA

Data Engineer - Azure

The Data Engineer - Azure role requires a strong background in SQL and Python, w...

Location

India

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Advanced SQL programming for more than 4 years
Data analysis skills for more than 2 years
Experience with Agile delivery frameworks/methodologies (e.g. Scrum, SAFe) and tools (i.e. Jira, Azure DevOps)
Proven track record of having implemented solutions using one or more agile methodologies in conjunction with a large system integration partner
Experience with Azure Data Factory and Databricks including orchestrating and designing data pipelines for secure data solutions
Industry certifications in Azure, Databricks or data architecture
Understanding and knowledge of system development life cycle methodologies (such as agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps)
Experience in migrating data and associated systems from on prem to Cloud environments
Knowledge of advanced analytics (models, tools, etc.) and their operational support
Excellent verbal and written communication

Job Responsibility

Design data pipelines
Collaborate with teams to ensure data integrity

Data Engineer - Azure

The Data Engineer - Azure role requires expertise in SQL and Python, with a focu...

Location

India , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Advanced SQL programming for more than 4 years
Data analysis skills for more than 2 years
Experience with Agile delivery frameworks/methodologies (e.g. Scrum, SAFe) and tools (i.e. Jira, Azure DevOps)
Demonstrate a proven track record of having implemented solutions using one or more agile methodologies in conjunction with a large system integration partner
Experience with Azure Data Factory and Databricks including orchestrating and designing data pipelines for secure data solutions
Understanding and knowledge of system development life cycle methodologies (such as agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps)
Experience in migrating data and associated systems from on prem to Cloud environments
Strong technical proficiency in SQL, Python, and data integration tools
Hands-on experience with ETL tools and data orchestration (e.g., Azure Data Factory, Databricks)
Knowledge of data modelling, warehouse design, and architecture principles

Fulltime

Data Engineer - Azure

Location

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

4-6 years of professional experience in a similar role
Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders
Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps)
Independence and responsibility in delivering solutions
Ability to work under agile methodologies
Hands-on experience in designing and optimizing of data storage (data lakes, data warehouses, distributed file systems)

Job Responsibility

Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms
Integrating and transforming data to ensure its compatibility with the target data model or format
Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems
Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval
Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency
Designing and implementing data models that support efficient data storage, retrieval, and analysis
Collaborating with data scientists and analysts to understand their requirements and provide them with well-structured and optimized data for analysis and modeling purposes
Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions
Communicating complex technical concepts to non-technical stakeholders in a clear and concise manner
Independence and responsibility for delivering a solution

What we offer

Stable employment
Medical Insurance
Grocery Coupons
Saving fund
30 days of Christmas bonus
Remote work bonus
Profit sharing
50% vacation premium
100% remote
Flexibility regarding working hours

Fulltime

Data Engineer - Azure

Location

Vietnam

Salary:

Not provided

Rackspace

Expiration Date

Until further notice

Requirements

Proven experience in real-time data streaming using Spark Streaming or Azure Functions
Strong proficiency in Python for data processing and automation tasks
Hands-on experience with Kafka for data ingestion and message queuing
Familiarity with Redis for caching and fast data retrieval
Knowledge of data lake architectures and best practices for data storage and retrieval
Solid understanding of software engineering principles, including design patterns, testing, and documentation
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment

Job Responsibility

Design, develop, and maintain real-time data streaming pipelines using Spark Streaming or Azure Functions
Load, merge, and process machine logs from Kafka, ensuring efficient data flow and transformation
Integrate processed data into Redis cache and send it to the data lake for long-term storage and analysis
Implement and optimize data processing solutions using Python
Apply software engineering best practices, including code reviews, version control, and continuous integration/deployment (CI/CD)
Collaborate with cross-functional teams to understand requirements and deliver high-quality data solutions

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

Software engineer 2 / Senior Software engineer - Azure Data

Microsoft's Azure Data engineering team is leading the transformation of analyti...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Experience with the Azure stack including Storage, Compute, Networking, Fabric, Purview, Synapse, AKS, DevOps, Data Factory, or Power BI
Experience with big data technologies such as Spark, Kafka, Hadoop, or HBase
Experience building data lake or data engineering products, tools, or pipelines
Familiarity with container-based architectures (Docker, Kubernetes)
Ability to debug complex distributed systems on Linux and/or Windows platforms

Job Responsibility

Write extensible, maintainable code in C#, Java, Scala, or Python for Fabric Materialized Lake View services and HDInsight components
Use AI tools and coding best practices across the development lifecycle
Design data refresh, scheduling, and query optimisation features with minimal supervision
Review code from teammates for correctness, test coverage, security risks, and adherence to team standards
Coach junior engineers through code reviews
Debug complex issues in distributed systems running on Azure, Linux, and Windows
Run live site operations on a rotational, on-call basis
Integrate logging and instrumentation to gather telemetry on system health, performance, reliability, and security
Work with product managers, technical leads, and partners across geographies to define customer requirements for Materialized Lake View features

Fulltime

Principal Frontend Engineer - Azure Monitor AIOps & Experience (Azure Data)

Principal Frontend Engineer — Azure Monitor AIOps & Experience (Azure Data). Abo...

Location

Israel , Tel Aviv, Herzliya

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

7+ years building modern web applications with TypeScript and React (or similar), including component architecture, state management, and testing at scale
Proven experience delivering data-intensive UIs (dashboards, charts, investigative workflows) with performance and accessibility best practices
Strong API integration skills, client-side performance profiling, and production debugging
Ability to collaborate across PM, Design, and ML/Backend to shape product direction and ship iteratively
Demonstrated expertise in migrating codebases from Angular to React

Job Responsibility

Own end-to-end web experiences for Azure Monitor: from UX design through production rollout
Visualize telemetry at scale with interactive charts, timelines, and dashboard integrations
Advance intelligent alerting: dynamic thresholds, smart grouping, contextual enrichment, and noise reduction in the alert lifecycle
Integrate AIOps capabilities (anomaly detection, RCA hints, agentic flows) into approachable, explainable UIs in partnership with data/ML engineers
Partner with platform teams to consume Azure Monitor, Alerts, Azure Resource Graph, and Log Analytics APIs
shape UI contracts, performance and resilience patterns
Champion quality: instrumentation, accessibility, localization, reliability, and front-end performance
Mentor and lead: drive technical design, code reviews, and best practices across cross-geo teams

Fulltime

Data Engineer (Azure Focus)

About Blue Ridge Care At Blue Ridge Care, we deliver extraordinary care to impro...

Location

United States , Winchester

Salary:

85000.00 - 110000.00 USD / Year

Blue Ridge Hospice

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, data analytics, information systems, or related field preferred (or equivalent experience)
1–2 years of experience in data engineering, BI, analytics engineering, or similar role
Foundational experience with Microsoft Azure and strong desire to grow in Azure technologies
Working knowledge of SQL and data pipeline concepts (ETL/ELT)
Experience supporting or troubleshooting data processes or pipelines
Understanding of relational databases, structured data, and validation techniques
Strong problem-solving, documentation, and communication skills
Ability to collaborate with both technical and non-technical stakeholders

Job Responsibility

Support the buildout and stabilization of Blue Ridge Care’s Azure-based data platform
Assist in developing, testing, and maintaining scalable data pipelines
Help expand the platform to meet growing reporting and analytics needs
Learn system architecture to support long-term internal ownership
Integrate data from various systems including databases, files, and APIs
Apply ETL/ELT concepts to transform data into standardized, usable formats
Support enhancements to data models and reporting structures
Assist with new data pipeline development and system integrations
Perform data validation and quality checks to ensure reliability and accuracy
Identify and troubleshoot data issues across systems and pipelines

What we offer

Competitive Pay
Flexible Work Arrangements
PTO & Paid Volunteer Time
Comprehensive Health Benefits
Tuition Reimbursement & Professional Development
Collaborative, mission-driven culture
Growth opportunities aligned with our 2030 Strategic Plan

Fulltime

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Data Engineer - Azure

Job Description

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