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At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Associate Manager - Data Engineering Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors The opportunity We are looking for Associate Manager - Data Engineering. The main purpose of the role is to support cloud and on-prem platform analytics and data engineering projects initiated across engagement teams. The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closelywith technical architects, product and business subject matter experts (SMEs), back-end developersand other solution architects and is also onshore facing. This role will be instrumental in designing, developing, and evolving the modern data warehousing solutions and data integration build-outs using cutting edge tools and platforms for both on-prem and cloud architectures. In this role you will be coming up with design specifications, documentation, and development of data migration mappings and transformations for a modern Data Warehouse set up/data mart creation and define robust ETL processing to collect and scrub both structured and unstructured data providing self-serve capabilities (OLAP) in order to create impactful decision analytics reporting. Discipline Information Management & Analysis Role TypeData Architecture & Engineering A Data Architect And Engineer at EY: Uses agreed-upon methods, processes and technologies to design, build and operate scalable on-premises or cloud data architecture and modelling solutions that facilitate data storage, integration, management, validation and security, supporting the entire data asset lifecycle. Designs, builds and operates data integration solutions that optimize data flows by consolidating disparate data from multiple sources into a single solution. Works with other Information Management & Analysis professionals, the program team, management and stakeholders to design and build analytics solutions in a way that will deliver business value. Skills Cloud Computing, Computational Thinking and Programming, Technical Feasibility Analysis, Data Architecture Design and Modelling, Data Fabric, Data Integration, Data Quality, Data Security, Database Management, Semantic LayerClient Handling & Communication, Problem solving / critical thinking, Systems Thinking, Interest and passion for Technology, Adaptability/Agility, Analytical Thinking, Collaboration Your key responsibilities Evaluating and selecting data warehousing tools for business intelligence, data population, data management, metadata management and warehouse administration for both on-prem and cloud based engagements Strong working knowledge across the technology stack, including ETL, ELT, data analysis, metadata, data quality, audit and design Design, develop, and test in ETL tool environment (GUI/canvas steered tools to create workflows) Experience in design documentation (data mapping, technical specifications, production support, data dictionaries, test cases, etc.) Provides technical guidance to a team of data warehouse and business intelligence developers Coordinate with other technology users to design and implement matters of data governance, data harvesting, cloud implementation strategy, privacy, and security Adhere to ETL/Data Warehouse development Best Practices Responsible for Data orchestration, ingestion, ETL and reporting architecture for both on-prem and cloud (MS Azure/AWS/GCP) Assisting the team with performance tuning for ETL and database processes . Skills and attributes for success Minimum of 7 years of total experience with 3+ years in Data warehousing/ Business Intelligence field Solid hands-on 3+ years of professional experience with creation and implementation of data warehouses on client engagements and helping create enhancements to a data warehouse Strong knowledge of data architecture for staging and reporting schemas, data models and cutover strategies using industry standard tools and technologies Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) Minimum 3+ years experience in Azure database offerings [Relational, NoSQL, Datawarehouse] 2+ years hands-on experience in various Azure services preferred - Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 3 years of hands-on database design, modelling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Minimum of 3 years of hands-on Programming language preferably Python Knowledge and direct experience using business intelligence reporting tools (Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes etc.) Strong creative instincts related to data analysis and visualization. Curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development life cycle (SDLC) and rules of product development, such as installation, upgrade and namespace management Willingness to mentor team members Solid thoughtfulness, technical and problem solving skills Excellent written and verbal communication skills? To qualify for the role, you must have Bachelor's or equivalent degree in computer science, or related field, required. Advanced degree or equivalent business experience preferred Fact steered and thoughtfulness with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 7 to 9 years in a big 4 or technology/ consulting set up Ideally, you'll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-prominent, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations - Argentina, China, India, the Philippines, Poland and the UK - and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We'll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success, as defined by you : We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership : We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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. Data n Analytics - Data Strategy - Manager, Strategy and Transactions EY's Data n Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We're looking for Manager - Data Strategy. The main objective of the role is to develop and articulate a clear and concise data strategy aligned with the overall business strategy. Communicate the data strategy effectively to stakeholders across the organization, ensuring buy-in and alignment. Establish and maintain data governance policies and procedures to ensure data quality, security, and compliance. Oversee data management activities, including data acquisition, integration, transformation, and storage. Develop and implement data quality frameworks and processes.The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also on-shore facing. Discipline: Data Strategy Key Skills Strong understanding of data models (relational, dimensional), data warehousing concepts, and cloud-based data architectures (AWS, Azure, GCP). Proficiency in data analysis techniques (e.g., SQL, Python, R), statistical modeling, and data visualization tools. Familiarity with big data technologies such as Hadoop, Spark, and NoSQL databases. Client Handling and Communication, Problem Solving, Systems thinking, Passion of technology, Adaptability, Agility, Analytical thinking, Collaboration Skills and attributes for success 10-12 years of total experience with 8+ years in Data Strategy and Architecture field Solid hands-on 6+ years of professional experience with designing and architecting of data warehouses/ data lakes on client engagements and helping create enhancements to a data warehouse Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) 5+ years experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ] 5+ years experience in various Azure services preferred - Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 8 years of hands-on database design, modelling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Knowledge and direct experience using business intelligence reporting tools (Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes etc.) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem-solving skills Excellent written and verbal communication skills Strong project and people management skills with experience in serving global clients To qualify for the role, you must have Master's Degree in Computer Science, Business Administration or equivalent work experience. Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 12 to 14 years in a big 4 or technology/ consulting set up Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team Ideally, you'll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Strong experience in SQL server and MS Excel plus atleast one other SQL dialect e.g. MS AccessPostgresqlOracle PLSQLMySQLStrong in Data Structures & Algorithm Experience of interfacing with databases such as Azure databases, SQL server, Oracle, Teradata etc Preferred exposure to JSON, Cloud Foundry, Pivotal, MatLab, Spark, Greenplum, Cassandra, Amazon Web Services, Microsoft Azure, Google Cloud, Informatica, Angular JS, Python, etc. What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations - Argentina, China, India, the Philippines, Poland and the UK - and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We'll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. 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. Data n Analytics - Data Strategy - Manager, Strategy and Transactions EY's Data n Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We're looking for Manager - Data Strategy. The main objective of the role is to develop and articulate a clear and concise data strategy aligned with the overall business strategy. Communicate the data strategy effectively to stakeholders across the organization, ensuring buy-in and alignment. Establish and maintain data governance policies and procedures to ensure data quality, security, and compliance. Oversee data management activities, including data acquisition, integration, transformation, and storage. Develop and implement data quality frameworks and processes.The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closelywith technical architects, product and business subject matter experts (SMEs), back-end developersand other solution architects and is also on-shore facing. Discipline Data Strategy Key Skills Strong understanding of data models (relational, dimensional), data warehousing concepts, and cloud-based data architectures (AWS, Azure, GCP). Proficiency in data analysis techniques (e.g., SQL, Python, R), statistical modeling, and data visualization tools. Familiarity with big data technologies such as Hadoop, Spark, and NoSQL databases. Client Handling and Communication, Problem Solving, Systems thinking, Passion of technology, Adaptability, Agility, Analytical thinking, Collaboration Skills and attributes for success 10-12 years of total experience with 8+ years in Data Strategy and Architecture field Solid hands-on 6+ years of professional experience with designing and architecting of data warehouses/ data lakes on client engagements and helping create enhancements to a data warehouse Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) 5+ years experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ] 5+ years experience in various Azure services preferred - Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 8 years of hands-on database design, modelling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Knowledge and direct experience using business intelligence reporting tools (Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes etc.) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem-solving skills Excellent written and verbal communication skills Strong project and people management skills with experience in serving global clients To qualify for the role, you must have Master's Degree in Computer Science, Business Administration or equivalent work experience. Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 12 to 14 years in a big 4 or technology/ consulting set up Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team Ideally, you'll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Strong experience in SQL server and MS Excel plus atleast one other SQL dialect e.g. MS AccessPostgresqlOracle PLSQLMySQLStrong in Data Structures & Algorithm Experience of interfacing with databases such as Azure databases, SQL server, Oracle, Teradata etc Preferred exposure to JSON, Cloud Foundry, Pivotal, MatLab, Spark, Greenplum, Cassandra, Amazon Web Services, Microsoft Azure, Google Cloud, Informatica, Angular JS, Python, etc. What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations - Argentina, China, India, the Philippines, Poland and the UK - and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We'll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership : We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture : You'll be embraced for who you are and empowered to use your voice to help others find theirs. 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's Data n Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics, and Automation. The assignments cover a wide range of countries and industry sectors. We're looking for a Manager - Data Engineering. The main objective of the role is to support cloud and on-prem platform analytics and data engineering projects initiated across engagement teams. The role will primarily involve conceptualizing, designing, developing, deploying, and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers, and other solution architects and is also on-shore facing. This role will be instrumental in designing, developing, and evolving the modern data warehousing solutions and data integration build-outs using cutting-edge tools and platforms for both on-prem and cloud architectures. In this role, you will be coming up with design specifications, documentation, and development of data migration mappings and transformations for a modern Data Warehouse set up/data mart creation and define robust ETL processing to collect and scrub both structured and unstructured data providing self-serve capabilities (OLAP) in order to create impactful decision analytics reporting. Your key responsibilities include evaluating and selecting data warehousing tools for business intelligence, data population, data management, metadata management, and warehouse administration for both on-prem and cloud-based engagements. You should have a strong working knowledge across the technology stack including ETL, ELT, data analysis, metadata, data quality, audit, and design. Experience in design documentation, providing technical leadership to a team of data warehouse and business intelligence developers, coordinating with other technology users, and adhering to ETL/Data Warehouse development Best Practices is essential. To qualify for the role, you must have a Bachelor's or equivalent degree in computer science, or a related field, required. An advanced degree or equivalent business experience is preferred. You should be fact-driven and analytically minded with excellent attention to details and have relevant work experience of minimum 9 to 11 years in a big 4 or technology/consulting setup. Ideally, you'll also have the ability to think strategically/end-to-end with a result-oriented mindset, build rapport within the firm and win the trust of the clients, willingness to travel extensively and to work on client sites/practice office locations, and experience with Snowflake. What we look for in candidates is a team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of a market-leading, multi-disciplinary team of 1400+ professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries. Working at EY offers support, coaching, and feedback from some of the most engaging colleagues around, opportunities to develop new skills and progress your career, the freedom and flexibility to handle your role in a way that's right for you. 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-Strategy and Transactions - SaT- DnA Manager EY's Data n Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We're looking for Manager - Data Engineering. The main objective of the role is to support cloud and on-prem platform analytics and data engineering projects initiated across engagement teams. The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also on-shore facing. This role will be instrumental in designing, developing, and evolving the modern data warehousing solutions and data integration build-outs using cutting edge tools and platforms for both on-prem and cloud architectures. In this role you will be coming up with design specifications, documentation, and development of data migration mappings and transformations for a modern Data Warehouse set up/data mart creation and define robust ETL processing to collect and scrub both structured and unstructured data providing self-serve capabilities (OLAP) in order to create impactful decision analytics reporting. Your key responsibilities Evaluating and selecting data warehousing tools for business intelligence, data population, data management, metadata management and warehouse administration for both on-prem and cloud based engagements Strong working knowledge across the technology stack including ETL, ELT, data analysis, metadata, data quality, audit and design Design, develop, and test in ETL tool environment (GUI/canvas driven tools to create workflows) Experience in design documentation (data mapping, technical specifications, production support, data dictionaries, test cases, etc.) Provides technical leadership to a team of data warehouse and business intelligence developers Coordinate with other technology users to design and implement matters of data governance, data harvesting, cloud implementation strategy, privacy, and security Adhere to ETL/Data Warehouse development Best Practices Responsible for Data orchestration, ingestion, ETL and reporting architecture for both on-prem and cloud ( MS Azure/AWS/GCP) Assisting the team with performance tuning for ETL and database processes Skills and attributes for success 9-11 years of total experience with 5+ years in Data warehousing/ Business Intelligence field Solid hands-on 5+ years of professional experience with creation and implementation of data warehouses on client engagements and helping create enhancements to a data warehouse Strong knowledge of data architecture for staging and reporting schemas, data models and cutover strategies using industry standard tools and technologies Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) Minimum 3+ years experience in Azure database offerings [ Relational, NoSQL, Datawarehouse] 3+ years hands-on experience in various Azure services preferred - Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 5 years of hands-on database design, modeling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Strong in PySpark, SparkSQL Knowledge and direct experience using business intelligence reporting tools (Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes etc.) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem-solving skills Excellent written and verbal communication skills? To qualify for the role, you must have Bachelor's or equivalent degree in computer science, or related field, required. Advanced degree or equivalent business experience preferred Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 9 to 11 years in a big 4 or technology/ consulting set up Ideally, you'll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Experience with Snowflake What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries 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 around Opportunities to develop new skills and progress your career The 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.

Job Title: Sr Data Engineer Location: Pune Experience: 5+ Years Requirements Skills: Advanced proficiency in Azure Data Factory and related Azure services for designing ETL workflows. Strong understanding of data warehouse design, specifically in the context of Azure Synapse Analytics. Proficient in Python for automating data processing tasks and integrating with APIs as needed. Familiarity with PowerBI for building and maintaining reports and dashboards. Understanding of cloud architecture and capabilities, particularly in a Microsoft Azure environment. Responsibilities: Design, implement, and maintain data pipelines, ensuring data accuracy and consistency. Collaborate with stakeholders in both reporting and analytics to gather requirements and provide insights. Monitor and troubleshoot data pipelines and ETL processes to ensure data quality and operational efficiency. Play an active role in ensuring the smooth transition from SSAS Cubes to the Data Warehouse, ensuring minimal downtime and maintaining current SLAs. Support PowerBI reporting development, with a focus on efficiency and best practices.

About ACA: ACA was founded in 2002 by four former SEC regulators and one former state regulator. The founders recognized the necessity for investment advisers to receive expert guidance on existing and new regulations. Over time, ACA has experienced organic growth and expansion through acquisitions to enhance our GRC business and technology solutions. Our array of services now includes GIPS standards verification, cybersecurity and technology risk, regulatory technology, ESG advisory, AML and financial crimes, financial and regulatory reporting, and Mirabella for establishing EU operations. Position Summary: As an Enterprise Data Manager at ACA, your role involves overseeing the development and utilization of data systems. You will be tasked with finding effective ways to organize, store, and analyze data while prioritizing security and confidentiality. Your strategic planning and supervision will be instrumental in enhancing our operational efficiency and driving business growth in a data-driven environment. Job Duties: - Develop and execute data management strategies aligned with company objectives. - Supervise the collection, storage, management, quality, and security of data. - Ensure data accuracy, accessibility, and minimize redundancy. - Collaborate with IT teams and management to formulate a data strategy meeting industry requirements. - Lead and mentor a team of data professionals. - Contribute to the design and development of the core Enterprise Data Services hub. - Engage directly with internal business stakeholders to elicit requirements and align on solution options. Education, Experience, and Skills: - Bachelor's degree in Computer Science, Data Science, or related field with a minimum of seven (7) years of experience OR a minimum of ten (10) years of relevant industry experience (in the absence of a bachelor's degree). - Proficiency in data modeling practices with a background in building enterprise data solutions. - Experience in designing and constructing reporting and dashboarding solutions. - Familiarity with Microsoft Azure cloud environment and relevant data technologies such as Azure Data Factory, Event Hubs, Synapse, etc. - Eagerness to learn and experiment with new technologies to deliver top-notch solutions. - Strong communication skills to articulate technical topics to business stakeholders. - Experience in extracting and pushing data from diverse APIs, including REST. - Proficiency in utilizing Postman. - Ability to read and write SQL, stored procedures, and functions. - Demonstrated knowledge and experience with Azure Data Factory pipelines. - Proficiency in Azure data landscape. - Familiarity with DAX and M query formations. Preferred Education and Experience: - Hands-on experience with Power BI. - Experience in building SSAS cubes, particularly in tabular modeling. - Knowledge of C#, Python, or other object-oriented programming languages is a plus, currently utilized for writing Azure Functions as required. - Understanding of AI/ML to support long-term strategy. Required Skills and Attributes: - Proficient in Data Modeling. - Hands-on experience with Azure Cloud and pertinent data technologies. - Adept at building reports and dashboards, preferably using Power BI. - Ability to collaborate effectively with all levels of leadership and business partners. - Capable of managing multiple projects simultaneously and adapting swiftly to changing business needs. Why join our team Joining ACA means becoming part of the premier governance, risk, and compliance (GRC) advisor in financial services. Our team comprises former regulators, compliance professionals, legal experts, GIPS standards verifiers, cybersecurity specialists, ESG advisors, and regulatory technology practitioners. We foster an entrepreneurial work environment by providing innovative solutions tailored to our clients" needs. At ACA, we value creative thinking, offer diverse career paths, and emphasize continuous learning through inquiry, curiosity, and transparency. If you are ready to be a part of an award-winning, global team of dedicated and skilled professionals, ACA is the ideal place for you.,

As an Enterprise Architect at ACA, your primary responsibility will be to oversee the development and utilization of data systems. You will play a crucial role in discovering efficient methods to organize, store, and analyze data while ensuring its security and confidentiality. Your strategic planning and oversight will be instrumental in enhancing operational efficiency and driving business growth for a data-driven company like ACA. Key Responsibilities: - Develop and implement data management strategies aligned with company objectives. - Supervise the collection, storage, management, quality, and security of data. - Ensure data accuracy, accessibility, and minimize redundancy. - Collaborate with IT teams and management to devise a data strategy meeting industry standards. - Lead and mentor a team of data professionals. - Contribute to the design and development of the core Enterprise Data Services hub. - Engage directly with internal business stakeholders to elicit requirements and align on solution options. Education, Experience, and Skills: - Bachelor's degree in Computer Science, Data Science, or related field with a minimum of seven (7) years of experience OR at least ten (10) years of relevant industry experience (without a bachelor's degree). - Proficiency in data modeling practices with experience in building enterprise data solutions. - Hands-on experience in designing and constructing reporting and dashboarding solutions. - Familiarity with Microsoft Azure cloud environment and relevant data technologies like Azure Data Factory, Event Hubs, Synapse, etc. - Willingness to explore and adopt new technologies for delivering top-notch solutions. - Strong communication skills to effectively discuss technical matters with business stakeholders. - Experience in extracting and pushing data from various APIs, including REST. - Proficiency in using Postman, SQL, stored procedures, and functions. - Demonstrated expertise in Azure Data Factory pipelines and the Azure data landscape. - Knowledge of DAX and M query formations. Preferred Qualifications: - Prior experience with Power BI. - Proficiency in building SSAS cubes, particularly tabular modeling. - Working knowledge of C#, Python, or other object-oriented programming languages for Azure Functions. - Understanding of AI/ML to support long-term strategy. Required Skills and Attributes: - Proficient in Data Modeling. - Hands-on experience with Azure Cloud and relevant data technologies. - Experience in developing reports and dashboards, preferably using Power BI. - Ability to collaborate effectively with all levels of leadership and business partners. - Comfortable managing multiple projects simultaneously and adaptable to changing business needs. Preferred Licenses and Certifications: - Microsoft Certification in Azure or equivalent. - Certifications in Data Science. - Data Management Certification. Join us at ACA, the leading governance, risk, and compliance (GRC) advisor in financial services, where you will be part of a diverse team of industry experts. We offer an entrepreneurial work environment, innovative solutions, and multiple career paths for personal and professional growth. Embrace continuous learning, transparency, and join our award-winning global team of dedicated professionals at ACA.,