Data Analyst with MS Fabric and SQL Job at Realign (Bangalore)

Data Engineer (MS Fabric)

Dreams is implementing Microsoft Dynamics 365 Finance & Operations and building ...

Location

United Kingdom

Salary:

Not provided

GT

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering, with a strong focus on Microsoft Azure–based data platforms
Hands-on experience with Microsoft Fabric and D365 Finance & Operations
Strong data engineering background (SQL, transformations, data modeling)
Experience working with transactional systems (ERP, finance, operations data)
Solid understanding of Medallion / layered data architecture
Experience exposing datasets for Excel-based consumption
Comfortable working in a business-facing environment
Strong English communication skills

Job Responsibility

Extract data from Microsoft Dynamics 365 Finance & Operations into Microsoft Fabric
Work directly with D365 F&O tables, data entities, and the underlying data model
Understand how transactions flow through the system (sales orders, inventory, finance, procurement, etc.)
Interpret business logic embedded in F&O rather than relying solely on exported data
Troubleshoot issues where the root cause sits inside F&O rather than in Fabric
Collaborate with our F&O functional and technical teams using the correct terminology and system understanding
Build and maintain data pipelines using Medallion architecture (Bronze / Silver / Gold)
Transform transactional ERP data into business-ready datasets
Expose structured datasets natively for Excel consumption
Support creation of simple, column-based Excel reports

Data Analyst Lead

Join Lam as an Operations Business Analyst, where you'll spearhead process impro...

Location

India , Bangalore

Salary:

Not provided

Lam Research

Expiration Date

Until further notice

Requirements

Minimum 7-9 years experience
Data Analysis/Statistical Analysis experience
Data Profiling experience
Expert in Database and Data warehouse tech (MS Fabric /PySpark/Azure Synapse/SQL Server/SAP HANA)
Experience with Visualization tools (Power BI)
Bachelor’s Degree: Math/Statistics/Operations Research/Computer Science
Master’s Degree: Business Analytics (with a background in Computer Science)
Data Analysis & Statistical Analysis skills
Experience in extracting information from databases
Office 365

Job Responsibility

Designs, Develops, and Tests Data Models to import data from source systems to meet Project requirements
Effectively analyzes the heterogeneous source data and writes SQL/PySpark scripts to integrate data from multiple data sources
Statistical Analysis and assess the results to generate actionable insights and presents the findings to the business users for informed decision making
Performs Data mining which provides actionable data in response to changing business requirements
Understands business requirements and develops dashboards to meet business needs
Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics
Migrates data into standardized platforms (Power BI) and builds critical data models to improve process performance and product quality
Owns technical implementation and documentation associated with datasets
Provides updates on project progress, performs root cause analysis on completed projects and works on identified improvement areas (like process, product quality etc.)

Delivery manager

Location

India , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

SQL proficiency — ability to read, review, and validate SQL queries, enabling effective collaboration with data engineering teams and QA of data deliverables
Azure Data Factory expertise — hands-on understanding of ADF pipeline architecture, triggers, linked services, and integration runtimes to govern data ingestion workstreams
Databricks knowledge — functional understanding of notebooks, clusters, Delta Lake, and Unity Catalog to oversee data transformation and analytics delivery
Microsoft Fabric experience — familiarity with Fabric workspaces, Lakehouses, Data Pipelines, and OneLake to lead platform modernisation programmes
Project management credentials — certified or experienced in Agile (Scrum/SAFe), PRINCE2, or PMP with a proven track record delivering complex data projects on time and budget
Insurance domain knowledge — understanding of insurance operations, products (P&C, Life, Re-insurance), and regulatory requirements (Solvency II, IFRS 17) as they relate to data
Stakeholder management — ability to communicate with C-suite sponsors, business owners, and technical teams, translating data concepts into business language
Risk and issue management — skilled at proactively identifying delivery risks, designing mitigation strategies, and escalating blockers to protect project timelines
Data governance awareness — working knowledge of data cataloguing, lineage, data quality frameworks, and tools such as Microsoft Purview
Tooling proficiency — experienced with Jira, Azure DevOps, Confluence, and MS Project for backlog management, sprint tracking, documentation, and programme reporting

Job Responsibility

Lead E2E data project delivery across the insurance data platform, managing full lifecycles from initiation and planning through execution, UAT, and go-live
Own project governance and reporting, maintaining project plans, risk registers, RAID logs, and status dashboards for senior stakeholders and business sponsors
Coordinate cross-functional teams including data engineers, architects, analysts, and business SMEs to ensure aligned delivery of pipelines and platform solutions
Manage ADF and Databricks workstreams, overseeing sprint planning, backlog refinement, and delivery milestones for data ingestion and transformation pipelines
Drive Microsoft Fabric adoption, coordinating migration strategies, capacity planning, and onboarding of engineering teams to the unified analytics stack
Manage vendor and third-party relationships, including contract oversight, SLA monitoring, and performance management for technology and consulting partners
Facilitate requirements gathering, translating complex insurance business needs into clear technical data project scopes and delivery roadmaps
Manage project budgets and resource plans, tracking costs against approved forecasts and proactively flagging variances to programme leadership
Ensure data quality and compliance standards are embedded in delivery, supporting GDPR, Solvency II, and internal data governance frameworks throughout execution
Conduct post-delivery reviews and retrospectives, capturing lessons learned and driving continuous improvement of delivery methodology across the platform

Fulltime

Data Engineer (Enterprise Data & Intelligence)

As a Data Engineer on the Enterprise Data & Intelligence team, you will design, ...

Location

Bulgaria , Sofia

Salary:

Not provided

HotSchedules Corporate

Expiration Date

Until further notice

Requirements

3+ years in data engineering or a closely related role
Bachelor's degree in Computer Science, Data Engineering, or a related field
Strong T-SQL skills and working proficiency in PySpark or Python for data processing
Hands-on experience with MS Azure Storage Explorer and SSMS
Hands-on experience with cloud-based data engineering services and orchestration tools (e.g., Azure Data Factory, Microsoft Fabric)
Practical experience building ETL/ELT pipelines and dimensional or analytical data models
Familiarity with CI/CD practices in data engineering, including version control (Git) and automated testing
Active use of AI productivity tools (e.g., ChatGPT, Claude, Copilot, Cursor) as an integrated part of development, testing, documentation, and day-to-day engineering workflows
Ability to work collaboratively with both technical and non-technical stakeholders
Good documentation habits and a willingness to communicate technical concepts clearly

Job Responsibility

Design, build, and maintain the data pipelines and models that underpin Fourth’s single source of truth
Gather and translate business requirements into reliable, well-tested data solutions on our Azure-based cloud platform
Collaborate closely with analytics engineers and business stakeholders to scope, prioritise, and deliver data products that serve FP&A, Commercial, Product, and AI teams
Build, maintain, and optimise scalable ETL/ELT pipelines (batch and near-real-time) on Azure Data Cloud Platform
Develop and refine data models to support BI reporting, analytics, and ML/AI use cases
Write efficient, well-documented T-SQL and PySpark code following team coding standards
Implement automated testing, data validation, and monitoring (SLAs, alerts) to ensure pipeline reliability
Contribute to data governance practices, including lineage tracking, metadata management, and quality controls
Support CI/CD pipelines for data assets, ensuring version control and reproducibility
Partner with Analytics Engineers to scope, refine, and prioritise data requirements from business stakeholders

What we offer

25+ days off, as well as birthday day off and 4 charity days off per year
Flexible start and end of the working day and hybrid working mode, including a combination remote and in the office
Team-centric atmosphere
Encouraging healthy lifestyle and work-life balance including supplemental health insurance
New parents bonus scheme

Fulltime

Data Engineering Lead

We’re looking for a Lead Data Engineer who is ready to both lead and build. This...

Location

Salary:

Not provided

5CA

Expiration Date

Until further notice

Requirements

Located in Albania, Bosnia and Herzegovina, Bulgaria, Greece, Hungary, Kosovo, North Macedonia, Poland, Romania, Serbia, South Africa, or Tunisia
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field
Minimum 7 years’ experience in data engineering
At least 2 years of leadership experience managing or mentoring engineers
Proven experience in designing, building, and maintaining scalable ETL/ELT pipelines and data platforms
Proficiency in SQL, Python, and data modelling techniques
Experience with cloud-based data architectures (e.g., Azure, AWS, or GCP)
Strong understanding of data governance, quality frameworks, and security best practices
Experience integrating data from multiple sources, including APIs and third-party systems
Familiarity with modern data tools and technologies (e.g., Databricks, Snowflake, Apache Spark, Airflow, Microsoft Fabric)

Job Responsibility

Lead the strategy, design, and implementation of scalable, high-performance data pipelines, platforms, and architectures
Manage the Data Engineering team’s backlog, priorities, and capacity to ensure timely delivery of high-quality outputs
Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver fit-for-purpose solutions
Oversee and contribute to the development of ETL/ELT processes, data models, and data integration frameworks
Ensure data quality, consistency, and governance across all systems and datasets
Monitor and optimise data infrastructure for performance, scalability, and cost efficiency
Define and enforce engineering best practices, coding standards, and security guidelines
Evaluate and adopt new technologies, tools, and frameworks that can improve data engineering capabilities
Provide technical leadership and mentorship to data engineers, fostering a high-performance culture
Troubleshoot complex data issues and drive root cause analysis and remediation

What we offer

A position at a fast-paced international company with ambitious gaming, e-commerce, and tech clients
A diverse and inclusive culture with people from 80+ countries, speaking 25+ languages - where we celebrate everyone's uniqueness
Innovative digital tools, and continuous opportunities for learning and development
Various learning and career development initiatives throughout the year
Fun employee engagement activities and participation in 5CA employee-led communities such as 5CA Connect, Pride, 5CA Gamers, Women of 5CA, to name a few

Fulltime

Data Engineer

We are seeking a highly skilled and motivated Data Engineer to join our innovati...

Location

United States

Salary:

Not provided

Ocean Blue Solutions

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Information Systems or related fields
Proven experience in data engineering, software development, or related roles
Proficiency in programming languages commonly used in data engineering (e.g., Python, PySpark, Java, Scala, etc.)
Strong knowledge of database systems, data modeling techniques, and SQL proficiency (e.g., Snowflake, MS Fabric, SQL Server, Oracle, Azure SQL)
Proficiency with ETL tools commonly used in data engineering (e.g., Informatica, Databricks, Azure Data Factory)
Experience with dashboard and reporting tools (e.g., Tableau, Power BI, Looker, etc.)
Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka, etc.)
Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform, etc.)
Excellent problem-solving skills and attention to detail
Effective communication and collaboration skills in a team-oriented environment

Job Responsibility

Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data
Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem
Implement data validation and quality checks to ensure accuracy and consistency
Design and maintain data models, schemas, and database structures to support analytical and operational use cases
Optimize data storage and retrieval mechanisms for performance and scalability
Evaluate and implement data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services
Build and maintain integrations with internal and external data sources and APIs
Implement RESTful APIs and web services for data access and consumption
Ensure compatibility and interoperability between different systems and platforms
Configure and manage data infrastructure components, including databases, data warehouses, data lakes, and distributed computing frameworks

Resident Assistant

If you’re looking for a job that goes beyond the basics to deliver purpose and j...

Location

United States of America , Hillsboro

Salary:

18.00 - 20.00 USD / Hour

Leisure Care

Expiration Date

Until further notice

Requirements

Demonstrated experience in a caregiving role
Current CNA a plus!

Job Responsibility

Assists resident with activities of daily living (ADL's) and all personal care skills (bathing, dressing, grooming, toileting)
Makes appropriate observations about the resident’s condition in every interaction
Records and follows-up with changes in resident’s condition in a timely manner
Assists residents with laundry and housekeeping services as needed

What we offer

Medical, Dental and Vision
Early Wage Access (access to earned wages when needed!)
401k
10 days vacation & 1 hour Sick Leave earned for every 30 hours worked
Bereavement & Jury Duty Leave
6 Holidays
2 Float Holidays
Flexible Spending Accounts (Health and Dependent Care)
Meal Discounts
Tuition Assistance

Fulltime

Traffic Management CAD Technician

FM Conway is currently recruiting a Traffic Management CAD Technician to join ou...

Location

United Kingdom , Ipswich

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

July 04, 2026

Requirements

Strong knowledge of Traffic Management operations
experience using CAD, BricsCAD and Cone 11 software
ability to read and translate blueprints and technical drawings
ability to work well under pressure, prioritise tasks effectively and have excellent attention to detail
M7 Lantra qualification is highly desirable, but not essential

Job Responsibility

Working within a team of Traffic Management development designers and Project Engineers to ensure that drawings are to a high and legal standard
Producing clear drawings, signage placement layouts and diversion route strategies
Developing safe and efficient traffic management plans for work sites and road network
Carrying out on site assessments as required
Designing sites in accordance with Chapter 8 TSM
Engaging with Project Teams & Engineers to respond effectively to working methods that require traffic Management designs that conform to a legal standard

What we offer

Career and professional development
23 days holiday plus bank holidays
Life assurance
Opportunities for internal and external training
Access to a wide range of shopping discounts through Rewarding Great People platform
Health and well-being benefits including 24-hour advice lines
Support from in-house mental health first aiders

Fulltime

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Data Analyst with MS Fabric and SQL

Job Description

Job Responsibility

Requirements

Nice to have

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