SQL Query T SQL - functions and package SQL Optimization and Performance improvement Knowledge of data warehousing concepts (Star Schema, Fact and dimension tables) Experience in SQL Server, SSIS SSIS Development Experience on data loads SQL Servers Total experience. SSIS Package configuration and optimization. ETL xfr, error handling, data flow components, script components, debugging. Input files : XML, CSV, flat, json Installation, backup, db setting, configurations Strong SQL Skills (Joins, subqueries, Aggregations, Window functions).

SQL Query T SQL - functions and package SQL Optimization and Performance improvement Knowledge of data warehousing concepts (Star Schema, Fact and dimension tables) Experience in SQL Server, SSIS SSIS Development Experience on data loads SQL Servers Total experience. SSIS Package configuration and optimization. ETL xfr, error handling, data flow components, script components, debugging. Input files : XML, CSV, flat, json Installation, backup, db setting, configurations Strong SQL Skills (Joins, subqueries, Aggregations, Window functions).

SQL Query T SQL - functions and package SQL Optimization and Performance improvement Knowledge of data warehousing concepts (Star Schema, Fact and dimension tables) Experience in SQL Server, SSIS SSIS Development Experience on data loads SQL Servers Total experience. SSIS Package configuration and optimization. ETL xfr, error handling, data flow components, script components, debugging. Input files : XML, CSV, flat, json Installation, backup, db setting, configurations Strong SQL Skills (Joins, subqueries, Aggregations, Window functions).

SQL Query T SQL - functions and package SQL Optimization and Performance improvement Knowledge of data warehousing concepts (Star Schema, Fact and dimension tables) Experience in SQL Server, SSIS SSIS Development Experience on data loads SQL Servers Total experience. SSIS Package configuration and optimization. ETL xfr, error handling, data flow components, script components, debugging. Input files : XML, CSV, flat, json Installation, backup, db setting, configurations Strong SQL Skills (Joins, subqueries, Aggregations, Window functions).

SQL Query T SQL - functions and package SQL Optimization and Performance improvement Knowledge of data warehousing concepts (Star Schema, Fact and dimension tables) Experience in SQL Server, SSIS SSIS Development Experience on data loads SQL Servers Total experience. SSIS Package configuration and optimization. ETL xfr, error handling, data flow components, script components, debugging. Input files : XML, CSV, flat, json Installation, backup, db setting, configurations Strong SQL Skills (Joins, subqueries, Aggregations, Window functions).

SQL Query T SQL - functions and package SQL Optimization and Performance improvement Knowledge of data warehousing concepts (Star Schema, Fact and dimension tables) Experience in SQL Server, SSIS SSIS Development Experience on data loads SQL Servers Total experience. SSIS Package configuration and optimization. ETL xfr, error handling, data flow components, script components, debugging. Input files : XML, CSV, flat, json Installation, backup, db setting, configurations Strong SQL Skills (Joins, subqueries, Aggregations, Window functions).

SQL Query T SQL - functions and package SQL Optimization and Performance improvement Knowledge of data warehousing concepts (Star Schema, Fact and dimension tables) Experience in SQL Server, SSIS SSIS Development Experience on data loads SQL Servers Total experience. SSIS Package configuration and optimization. ETL xfr, error handling, data flow components, script components, debugging. Input files : XML, CSV, flat, json Installation, backup, db setting, configurations Strong SQL Skills (Joins, subqueries, Aggregations, Window functions).

SQL Query T SQL - functions and package SQL Optimization and Performance improvement Knowledge of data warehousing concepts (Star Schema, Fact and dimension tables) Experience in SQL Server, SSIS SSIS Development Experience on data loads SQL Servers Total experience. SSIS Package configuration and optimization. ETL xfr, error handling, data flow components, script components, debugging. Input files : XML, CSV, flat, json Installation, backup, db setting, configurations Strong SQL Skills (Joins, subqueries, Aggregations, Window functions).

SQL Query T SQL - functions and package SQL Optimization and Performance improvement Knowledge of data warehousing concepts (Star Schema, Fact and dimension tables) Experience in SQL Server, SSIS SSIS Development Experience on data loads SQL Servers Total experience. SSIS Package configuration and optimization. ETL xfr, error handling, data flow components, script components, debugging. Input files : XML, CSV, flat, json Installation, backup, db setting, configurations Strong SQL Skills (Joins, subqueries, Aggregations, Window functions).

SQL Query T SQL - functions and package SQL Optimization and Performance improvement Knowledge of data warehousing concepts (Star Schema, Fact and dimension tables) Experience in SQL Server, SSIS SSIS Development Experience on data loads SQL Servers Total experience. SSIS Package configuration and optimization. ETL xfr, error handling, data flow components, script components, debugging. Input files : XML, CSV, flat, json Installation, backup, db setting, configurations Strong SQL Skills (Joins, subqueries, Aggregations, Window functions).

SQL Query T SQL - functions and package SQL Optimization and Performance improvement Knowledge of data warehousing concepts (Star Schema, Fact and dimension tables) Experience in SQL Server, SSIS SSIS Development Experience on data loads SQL Servers Total experience. SSIS Package configuration and optimization. ETL xfr, error handling, data flow components, script components, debugging. Input files : XML, CSV, flat, json Installation, backup, db setting, configurations Strong SQL Skills (Joins, subqueries, Aggregations, Window functions).

SQL Query T SQL - functions and package SQL Optimization and Performance improvement Knowledge of data warehousing concepts (Star Schema, Fact and dimension tables) Experience in SQL Server, SSIS SSIS Development Experience on data loads SQL Servers Total experience. SSIS Package configuration and optimization. ETL xfr, error handling, data flow components, script components, debugging. Input files : XML, CSV, flat, json Installation, backup, db setting, configurations Strong SQL Skills (Joins, subqueries, Aggregations, Window functions).

SQL Query T SQL - functions and package SQL Optimization and Performance improvement Knowledge of data warehousing concepts (Star Schema, Fact and dimension tables) Experience in SQL Server, SSIS SSIS Development Experience on data loads SQL Servers Total experience. SSIS Package configuration and optimization. ETL xfr, error handling, data flow components, script components, debugging. Input files : XML, CSV, flat, json Installation, backup, db setting, configurations Strong SQL Skills (Joins, subqueries, Aggregations, Window functions).

SQL Query T SQL - functions and package SQL Optimization and Performance improvement Knowledge of data warehousing concepts (Star Schema, Fact and dimension tables) Experience in SQL Server, SSIS SSIS Development Experience on data loads SQL Servers Total experience. SSIS Package configuration and optimization. ETL xfr, error handling, data flow components, script components, debugging. Input files : XML, CSV, flat, json Installation, backup, db setting, configurations Strong SQL Skills (Joins, subqueries, Aggregations, Window functions).

About The Role : Job Summary This position provides strategic, analytical, and technical support for data and business intelligence activities. This position leverages data to gain key insight into business opportunities, and effectively presents these insights to business stakeholders. This position participates in the creation, distribution, and delivery of analytics reports, tables, graphs, and communication materials that effectively summarize findings and support recommendations. Primary Skills (must have): Strong hands-on experience Data Warehouse, building Data Lakes Semantic Model Development (Dimensional, Tabular), SSAS, AAS, LookML Strong dashboarding skills - PowerBI (preferred) / Tableau Hands on experience in SQL, DAX, Python, R Hands on experience in Google Cloud Platform & DevOps(CI/CD) Strong analytical skills and attention to detail Proven ability to quickly learn new applications, processes, and procedures. Able and willing to collaborate in a team environment and exercise independent judgement. Excellent verbal and written communication skills. Ability to form good partner relationships across functions. Secondary skills: Google Cloud Platform (preferred), Azure Agile experience (Scrum) Experience in C#, .Net is preferred Responsibilities Designs, develops, and maintains reports and analytical tools and performs ongoing data quality monitoring and refinement. Identifies and analyzes errors and inconsistencies in the data and provides timely resolutions. Translates data results into written reports, tables, graphs, and charts to convey information to management and clients. Creates ad hoc reports and views on a frequent basis to assist management in understanding, researching, and analyzing issues. Uses data mining to extract information from data sets and identify correlations and patterns. Organizes and transforms information into comprehensible structures. Uses data to predict trends in the customer base and consumer populations and performs statistical analysis of data. Identifies and recommends new ways to support budgets by streamlining business processes. Preferences: Bachelor's Degree (or internationally comparable degree) Business/Economics, Computer Science, Engineering, Marketing, MIS, Mathematics, or related discipline. Experience with data warehousing, data science software, or similar analytics/business intelligence systems.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY - Consulting - Microsoft - Fabric - Senior As part of our EY-DnA team, you will be responsible for designing, developing, and maintaining distributed systems using Microsoft Fabric, including One Lake, Azure Data Factory (ADF), Azure Synapse, Notebooks, Data Warehouse, and Lakehouse. You will play a crucial role in architecting and implementing enterprise data platforms and data management practices, ensuring the delivery of high-quality solutions that meet business requirements. You will collaborate with system architects, business analysts, and stakeholders to understand their requirements and convert them into technical designs. Your role will involve designing, building, testing, deploying, and maintaining robust integration architectures, services, and workflows. To qualify for the role, you should: Design, develop, and implement ETL pipelines using Azure Data Factory to extract, transform, and load data from various sources into target systems.Architect and implement Azure Synapse, Data Warehouse, and Lakehouse solutions, ensuring scalability, performance, and reliability.Utilize Notebooks and Spark for data analysis, processing, and visualization to derive actionable insights from large datasets.Define and implement enterprise data platform architecture, including the creation of gold, silver, and bronze datasets for downstream use.Hands-on development experience in cloud-based big data technologies, including Azure, Power Platform, Microsoft Fabric/Power BI, leveraging languages such as SQL, PySpark, DAX, Python, and Power Query.Designing and developing BI reports and dashboards by understanding the business requirements, designing the data model, and developing visualizations that provide actionable insights.Collaborate effectively with key stakeholders and other developers to understand business requirements, provide technical expertise, and deliver solutions that meet project objectives.Mentor other developers in the team, sharing knowledge, best practices, and emerging technologies to foster continuous learning and growth.Stay updated on industry trends and advancements in Microsoft Fabric and related technologies, incorporating new tools and techniques to enhance development processes and outcomes. Skills and attributes for success: 3-7 years of experience in developing data solutions using the Microsoft Azure cloud platform.Strong experience with Azure Data Factory and ETL PipelinesStrong experience with Azure Synapse, Data Warehouse and Lakehouse implementationsStrong experience with Notebooks and SparkBackground in architecting and implementing enterprise data platforms and data management practise including gold, silver bronze datasets for downstream use.Hands on experience in cloud-based big data technologies including Azure, Power Platform, Microsoft Fabric/Power BI; using languages such as SQL, Pyspark, DAX, Python, Power Query.Creating Business Intelligence (BI) reports and crafting complex Data Analysis Expressions (DAX) for metrics. Ideally, you’ll also have: Exceptional communication skills and the ability to articulate ideas clearly and concisely.Capability to work independently as well as lead a team effectively. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY - Consulting - Microsoft - Fabric - Senior As part of our EY-DnA team, you will be responsible for designing, developing, and maintaining distributed systems using Microsoft Fabric, including One Lake, Azure Data Factory (ADF), Azure Synapse, Notebooks, Data Warehouse, and Lakehouse. You will play a crucial role in architecting and implementing enterprise data platforms and data management practices, ensuring the delivery of high-quality solutions that meet business requirements. You will collaborate with system architects, business analysts, and stakeholders to understand their requirements and convert them into technical designs. Your role will involve designing, building, testing, deploying, and maintaining robust integration architectures, services, and workflows. To qualify for the role, you should: Design, develop, and implement ETL pipelines using Azure Data Factory to extract, transform, and load data from various sources into target systems.Architect and implement Azure Synapse, Data Warehouse, and Lakehouse solutions, ensuring scalability, performance, and reliability.Utilize Notebooks and Spark for data analysis, processing, and visualization to derive actionable insights from large datasets.Define and implement enterprise data platform architecture, including the creation of gold, silver, and bronze datasets for downstream use.Hands-on development experience in cloud-based big data technologies, including Azure, Power Platform, Microsoft Fabric/Power BI, leveraging languages such as SQL, PySpark, DAX, Python, and Power Query.Designing and developing BI reports and dashboards by understanding the business requirements, designing the data model, and developing visualizations that provide actionable insights.Collaborate effectively with key stakeholders and other developers to understand business requirements, provide technical expertise, and deliver solutions that meet project objectives.Mentor other developers in the team, sharing knowledge, best practices, and emerging technologies to foster continuous learning and growth.Stay updated on industry trends and advancements in Microsoft Fabric and related technologies, incorporating new tools and techniques to enhance development processes and outcomes. Skills and attributes for success: 3-7 years of experience in developing data solutions using the Microsoft Azure cloud platform.Strong experience with Azure Data Factory and ETL PipelinesStrong experience with Azure Synapse, Data Warehouse and Lakehouse implementationsStrong experience with Notebooks and SparkBackground in architecting and implementing enterprise data platforms and data management practise including gold, silver bronze datasets for downstream use.Hands on experience in cloud-based big data technologies including Azure, Power Platform, Microsoft Fabric/Power BI; using languages such as SQL, Pyspark, DAX, Python, Power Query.Creating Business Intelligence (BI) reports and crafting complex Data Analysis Expressions (DAX) for metrics. Ideally, you’ll also have: Exceptional communication skills and the ability to articulate ideas clearly and concisely.Capability to work independently as well as lead a team effectively. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY - Consulting - Microsoft - Fabric - Senior As part of our EY-DnA team, you will be responsible for designing, developing, and maintaining distributed systems using Microsoft Fabric, including One Lake, Azure Data Factory (ADF), Azure Synapse, Notebooks, Data Warehouse, and Lakehouse. You will play a crucial role in architecting and implementing enterprise data platforms and data management practices, ensuring the delivery of high-quality solutions that meet business requirements. You will collaborate with system architects, business analysts, and stakeholders to understand their requirements and convert them into technical designs. Your role will involve designing, building, testing, deploying, and maintaining robust integration architectures, services, and workflows. To qualify for the role, you should: Design, develop, and implement ETL pipelines using Azure Data Factory to extract, transform, and load data from various sources into target systems.Architect and implement Azure Synapse, Data Warehouse, and Lakehouse solutions, ensuring scalability, performance, and reliability.Utilize Notebooks and Spark for data analysis, processing, and visualization to derive actionable insights from large datasets.Define and implement enterprise data platform architecture, including the creation of gold, silver, and bronze datasets for downstream use.Hands-on development experience in cloud-based big data technologies, including Azure, Power Platform, Microsoft Fabric/Power BI, leveraging languages such as SQL, PySpark, DAX, Python, and Power Query.Designing and developing BI reports and dashboards by understanding the business requirements, designing the data model, and developing visualizations that provide actionable insights.Collaborate effectively with key stakeholders and other developers to understand business requirements, provide technical expertise, and deliver solutions that meet project objectives.Mentor other developers in the team, sharing knowledge, best practices, and emerging technologies to foster continuous learning and growth.Stay updated on industry trends and advancements in Microsoft Fabric and related technologies, incorporating new tools and techniques to enhance development processes and outcomes. Skills and attributes for success: 3-7 years of experience in developing data solutions using the Microsoft Azure cloud platform.Strong experience with Azure Data Factory and ETL PipelinesStrong experience with Azure Synapse, Data Warehouse and Lakehouse implementationsStrong experience with Notebooks and SparkBackground in architecting and implementing enterprise data platforms and data management practise including gold, silver bronze datasets for downstream use.Hands on experience in cloud-based big data technologies including Azure, Power Platform, Microsoft Fabric/Power BI; using languages such as SQL, Pyspark, DAX, Python, Power Query.Creating Business Intelligence (BI) reports and crafting complex Data Analysis Expressions (DAX) for metrics. Ideally, you’ll also have: Exceptional communication skills and the ability to articulate ideas clearly and concisely.Capability to work independently as well as lead a team effectively. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Data Engineer + Power BI Senior– Consulting As part of our GDS Consulting team, you will be part of NCLC team delivering specific to Microsoft account. You will be working on latest Microsoft BI technologies and will collaborate with other teams within Consulting services. The opportunity We’re looking for resources with expertise in Microsoft BI, Power BI, Azure Data Factory, Data Bricks to join the group of our Data Insights team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of our service offering. Your Key Responsibilities Responsible for managing multiple client engagements.Understand and analyse business requirements by working with various stakeholders and create the appropriate information architecture, taxonomy and solution approachWork independently to gather requirements, cleansing extraction and loading of dataTranslate business and analyst requirements into technical codeCreate interactive and insightful dashboards and reports using Power BI, connecting to various data sources and implementing DAX calculations.Design and build complete ETL/Azure Data Factory processes moving and transforming data for ODS, Staging, and Data WarehousingDesign and development of solutions in Data Bricks, Scala, Spark, SQL to process and analyze large datasets, perform data transformations, and build data models.Design SQL Schema, Database Schema, Stored procedures, function, and T-SQL queries. Skills And Attributes For Success Collaborating with other members of the engagement team to plan the engagement and develop work program timelines, risk assessments and other documents/templates.Able to manage Senior stakeholders.Experience in leading teams to execute high quality deliverables within stipulated timeline.Skills in PowerBI, Azure Data Factory, Databricks, Azure Synapse, Data Modelling, DAX, Power Query, Microsoft FabricStrong proficiency in Power BI, including data modelling, DAX, and creating interactive visualizations.Solid experience with Azure Databricks, including working with Spark, PySpark (or Scala), and optimizing big data processing.Good understanding of various Azure services relevant to data engineering, such as Azure Blob Storage, ADLS Gen2, Azure SQL Database/Synapse AnalyticsStrong SQL Skills and experience with of one of the following: Oracle, SQL, Azure SQL.Good to have experience in SSAS or Azure SSAS and Agile Project Management.Basic Knowledge on Azure Machine Learning services.Excellent Written and Communication Skills and ability to deliver technical demonstrationsQuick learner with “can do” attitudeDemonstrating and applying strong project management skills, inspiring teamwork and responsibility with engagement team members To qualify for the role, you must have A bachelor's or master's degree A minimum of 4-7 years of experience, preferably background in a professional services firm.Excellent communication skills with consulting experience preferred Ideally, you’ll also have Analytical ability to manage multiple projects and prioritize tasks into manageable work products.Can operate independently or with minimum supervision What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues aroundOpportunities to develop new skills and progress your careerThe freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Data Engineer + Power BI Senior– Consulting As part of our GDS Consulting team, you will be part of NCLC team delivering specific to Microsoft account. You will be working on latest Microsoft BI technologies and will collaborate with other teams within Consulting services. The opportunity We’re looking for resources with expertise in Microsoft BI, Power BI, Azure Data Factory, Data Bricks to join the group of our Data Insights team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of our service offering. Your Key Responsibilities Responsible for managing multiple client engagements.Understand and analyse business requirements by working with various stakeholders and create the appropriate information architecture, taxonomy and solution approachWork independently to gather requirements, cleansing extraction and loading of dataTranslate business and analyst requirements into technical codeCreate interactive and insightful dashboards and reports using Power BI, connecting to various data sources and implementing DAX calculations.Design and build complete ETL/Azure Data Factory processes moving and transforming data for ODS, Staging, and Data WarehousingDesign and development of solutions in Data Bricks, Scala, Spark, SQL to process and analyze large datasets, perform data transformations, and build data models.Design SQL Schema, Database Schema, Stored procedures, function, and T-SQL queries. Skills And Attributes For Success Collaborating with other members of the engagement team to plan the engagement and develop work program timelines, risk assessments and other documents/templates.Able to manage Senior stakeholders.Experience in leading teams to execute high quality deliverables within stipulated timeline.Skills in PowerBI, Azure Data Factory, Databricks, Azure Synapse, Data Modelling, DAX, Power Query, Microsoft FabricStrong proficiency in Power BI, including data modelling, DAX, and creating interactive visualizations.Solid experience with Azure Databricks, including working with Spark, PySpark (or Scala), and optimizing big data processing.Good understanding of various Azure services relevant to data engineering, such as Azure Blob Storage, ADLS Gen2, Azure SQL Database/Synapse AnalyticsStrong SQL Skills and experience with of one of the following: Oracle, SQL, Azure SQL.Good to have experience in SSAS or Azure SSAS and Agile Project Management.Basic Knowledge on Azure Machine Learning services.Excellent Written and Communication Skills and ability to deliver technical demonstrationsQuick learner with “can do” attitudeDemonstrating and applying strong project management skills, inspiring teamwork and responsibility with engagement team members To qualify for the role, you must have A bachelor's or master's degree A minimum of 4-7 years of experience, preferably background in a professional services firm.Excellent communication skills with consulting experience preferred Ideally, you’ll also have Analytical ability to manage multiple projects and prioritize tasks into manageable work products.Can operate independently or with minimum supervision What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues aroundOpportunities to develop new skills and progress your careerThe freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Data Engineer + Power BI Senior– Consulting As part of our GDS Consulting team, you will be part of NCLC team delivering specific to Microsoft account. You will be working on latest Microsoft BI technologies and will collaborate with other teams within Consulting services. The opportunity We’re looking for resources with expertise in Microsoft BI, Power BI, Azure Data Factory, Data Bricks to join the group of our Data Insights team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of our service offering. Your Key Responsibilities Responsible for managing multiple client engagements.Understand and analyse business requirements by working with various stakeholders and create the appropriate information architecture, taxonomy and solution approachWork independently to gather requirements, cleansing extraction and loading of dataTranslate business and analyst requirements into technical codeCreate interactive and insightful dashboards and reports using Power BI, connecting to various data sources and implementing DAX calculations.Design and build complete ETL/Azure Data Factory processes moving and transforming data for ODS, Staging, and Data WarehousingDesign and development of solutions in Data Bricks, Scala, Spark, SQL to process and analyze large datasets, perform data transformations, and build data models.Design SQL Schema, Database Schema, Stored procedures, function, and T-SQL queries. Skills And Attributes For Success Collaborating with other members of the engagement team to plan the engagement and develop work program timelines, risk assessments and other documents/templates.Able to manage Senior stakeholders.Experience in leading teams to execute high quality deliverables within stipulated timeline.Skills in PowerBI, Azure Data Factory, Databricks, Azure Synapse, Data Modelling, DAX, Power Query, Microsoft FabricStrong proficiency in Power BI, including data modelling, DAX, and creating interactive visualizations.Solid experience with Azure Databricks, including working with Spark, PySpark (or Scala), and optimizing big data processing.Good understanding of various Azure services relevant to data engineering, such as Azure Blob Storage, ADLS Gen2, Azure SQL Database/Synapse AnalyticsStrong SQL Skills and experience with of one of the following: Oracle, SQL, Azure SQL.Good to have experience in SSAS or Azure SSAS and Agile Project Management.Basic Knowledge on Azure Machine Learning services.Excellent Written and Communication Skills and ability to deliver technical demonstrationsQuick learner with “can do” attitudeDemonstrating and applying strong project management skills, inspiring teamwork and responsibility with engagement team members To qualify for the role, you must have A bachelor's or master's degree A minimum of 4-7 years of experience, preferably background in a professional services firm.Excellent communication skills with consulting experience preferred Ideally, you’ll also have Analytical ability to manage multiple projects and prioritize tasks into manageable work products.Can operate independently or with minimum supervision What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues aroundOpportunities to develop new skills and progress your careerThe freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

We are seeking a highly skilled Power BI Expert with over 5 years of experience in business intelligence and data analytics. The ideal candidate will have expertise in Azure, Data Factory, Microsoft Fabric, and Data Warehousing. Required Candidate profile Experience with Power BI, Azure, Data Warehousing, and related technologies Proficiency in DAX, Power Query, SQL, and data visualization best practices Degree in Computer Science, Data Analytic.

KDataScience (USA & INDIA) is looking for Senior Power BI Developer to join our dynamic team and embark on a rewarding career journey Power BI Solution Development:Design, develop, and implement Power BI dashboards and reports that meet business needs Create visually appealing and user-friendly reports for various stakeholders Optimize Power BI data models for performance and efficiency Data Modeling and Transformation:Work with stakeholders to understand data requirements and design appropriate data models Perform data cleansing, transformation, and integration to ensure accurate and reliable reporting Implement best practices for data modeling and establish data governance standards Data Integration:Integrate Power BI with various data sources, including databases, APIs, and other data repositories Collaborate with data engineers to ensure seamless data flow between systems Implement ETL processes to extract, transform, and load data into Power BI Performance Monitoring and Optimization:Monitor the performance of Power BI reports and dashboards and implement optimizations as needed Identify and resolve data-related issues affecting reporting accuracy and reliability Provide recommendations for infrastructure improvements to enhance performance Collaboration and Training:Collaborate with cross-functional teams, including data analysts, business users, and IT, to gather requirements Conduct training sessions for end-users and team members on Power BI best practices and usage Stay informed about the latest Power BI features and updates

KDataScience (USA & INDIA) is looking for Senior Power BI Consultant to join our dynamic team and embark on a rewarding career journey Gathering and analyzing data from multiple sources to create data models and visualizations. Designing and implementing reports, dashboards, and interactive data visualizations. Integrating Power BI with other tools and platforms, such as Microsoft Excel, SQL Server, and SharePoint. Collaborating with stakeholders to understand their business requirements and provide appropriate BI solutions. Performing data quality checks and ensuring data accuracy. Maintaining and updating existing reports and dashboards. Troubleshooting and resolving technical issues related to Power BI. Staying current with the latest Power BI features and technologies, and making recommendations for improvements.

Seeking a Data Analyst with expertise in Power BI to support our digital initiatives in KPI dashboarding through a templated reporting approach. This role involves facilitating data discovery workshops, performing data cleansing and transformation, and contextualizing data from multiple enterprise systems to deliver insightful and standardized performance dashboards. RESPONSIBILITIES: • Conduct data discovery workshops with business and technical stakeholders to identify KPI requirements and data sources. • Interpret data, analyze results using statistical techniques to develop the KPIs • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality • Identify, analyze, and interpret trends or patterns in complex datasets • Cleanse, transform, and integrate data from multiple systems used for processes and operational. Perform data observation and profiling to assess quality, completeness, and consistency of source data. • Generate reports as required and present findings to aid decision-making to prepare the datasets. Contextualize data to align with business processes and operational hierarchies (e.g., asset-level, business unit, site-level views). • Work closely with IT, data engineering, and business teams to ensure seamless data flow and transformation. • Identify and Validate data mappings and calculation logic for key metrics and ensure alignment with approved definitions. • Prepare and maintain documentation of datasets whit respective systems and KPIs. • Identify and suggest opportunities for automation, improved visualization, or enhanced insights in reporting processes. • Develop and maintain standardized Power BI dashboards as per business KPIs. • Work closely with Power BI developer to deploy interactive Power BI dashboards and reports based on business requirements. • Familiarity with Microsoft Power Platform (Power Automate, Power Apps) is a plus. • Analyse existing SQL queries for performance improvements. • Proficiency in writing complex queries on various structured databases • Develop the connector, gateways to integrate the data from source applications. QUALIFICATIONS: • Bachelor’s degree in computer science, Information Systems, Engineering, or a related field. • 8+ years of experience in developing Power BI reports and dashboards in a corporate or industrial setting. • Expertise and Certified in Python, Design Patterns, Data Engineering, NumPy, pandas, OCR, Tableau etc. • Certification in Microsoft Power BI or related data analytics platforms. • Strong understanding of data modelling (Star/Snowflake schema), Power Query (M), and DAX. • Experience in connecting Power BI to various data sources like SQL Server, Oracle, SharePoint, Excel, or REST APIs. • Familiarity with Microsoft Power Platform (Power Automate, Power Apps) is a plus. • Understanding of engineering project workflows or EPC business environments is highly desirable.