2243 Database Administration Jobs - Page 41

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-8 years of experience in the IT Services & Consulting industry. Roles and Responsibility Analyze complex data sets to identify trends and patterns, providing insights to stakeholders. Develop and maintain databases and spreadsheets to track key performance indicators. Collaborate with cross-functional teams to design and implement process improvements. Conduct research and analysis on industry trends and best practices to inform business decisions. Prepare reports and presentations to communicate findings and recommendations to senior management. Identify and mitigate risks associated with data analysis and reporting. Job Requirements Strong analytical and problem-solving skills, with attention to detail and accuracy. Excellent communication and interpersonal skills, with the ability to work effectively with diverse stakeholders. Proficiency in Microsoft Office Suite, particularly Excel, Word, and PowerPoint. Experience with data visualization tools such as Tableau or Power BI is an asset. Ability to prioritize multiple tasks and deadlines in a fast-paced environment. Strong organizational and time management skills, with the ability to manage large datasets.

We are looking for a highly skilled and experienced Senior Analyst to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting, with excellent analytical skills and attention to detail. As a Senior Analyst, you will play a key role in driving business growth and improvement. Roles and Responsibility Analyze complex data sets to identify trends and patterns, providing insights to stakeholders. Develop and maintain databases and spreadsheets to track key performance indicators. Collaborate with cross-functional teams to design and implement process improvements. Conduct research and analysis on industry trends and best practices to inform business decisions. Prepare reports and presentations to communicate findings and recommendations to senior management. Identify and mitigate risks associated with data analysis and reporting. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills, with the ability to interpret complex data sets. Proficient in Microsoft Office, particularly Excel, Word, and PowerPoint. Ability to work independently and as part of a team, with strong communication and interpersonal skills. Strong attention to detail and organizational skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Experience with data analysis tools and technologies, such as SQL or Tableau.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Analyze complex data sets to identify trends and patterns, providing insights to stakeholders. Develop and maintain databases and spreadsheets to track key performance indicators. Collaborate with cross-functional teams to design and implement process improvements. Conduct research and analysis on industry trends and best practices to inform business decisions. Prepare reports and presentations to communicate findings and recommendations to senior management. Identify and mitigate risks associated with data analysis and reporting. Job Requirements Strong analytical and problem-solving skills, with attention to detail and accuracy. Excellent communication and interpersonal skills, enabling effective collaboration with stakeholders. Proficiency in Microsoft Office Suite, particularly Excel, Word, and PowerPoint. Ability to work in a fast-paced environment, prioritizing multiple tasks and meeting deadlines. Strong organizational and time management skills, with the ability to manage multiple projects simultaneously. Experience with data analysis tools and technologies, such as SQL or Tableau.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-9 years of experience in the IT Services & Consulting industry. The ideal candidate will have a strong background in analysis and problem-solving, with excellent communication skills. Roles and Responsibility Conduct thorough analysis of complex data sets to identify trends and patterns. Develop and implement effective analytical processes to drive business growth. Collaborate with cross-functional teams to provide insights and recommendations. Design and maintain databases and spreadsheets to track key performance indicators. Create reports and presentations to communicate findings to stakeholders. Stay up-to-date with industry trends and emerging technologies. Job Requirements Strong understanding of analytical principles and methodologies. Proficiency in Microsoft Office Suite, particularly Excel and PowerPoint. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment and meet deadlines. Strong problem-solving and critical thinking skills. Experience with data analysis tools and software is an asset.

Seeking an experienced SAP Basis Consultant with hands-on experience in S/4 HANA environments. The role involves system installations, upgrades, kernel patches, performance tuning, user administration, and transport management. Experience in HANA database administration, system refreshes, and security roles is essential. The consultant will work closely with ABAP and functional teams to ensure seamless operations.

Seeking an experienced SAP Basis Consultant with hands-on experience in S/4 HANA environments. The role involves system installations, upgrades, kernel patches, performance tuning, user administration, and transport management. Experience in HANA database administration, system refreshes, and security roles is essential. The consultant will work closely with ABAP and functional teams to ensure seamless operations.

Seeking an experienced SAP Basis Consultant with hands-on experience in S/4 HANA environments. The role involves system installations, upgrades, kernel patches, performance tuning, user administration, and transport management. Experience in HANA database administration, system refreshes, and security roles is essential. The consultant will work closely with ABAP and functional teams to ensure seamless operations.

Seeking an experienced SAP Basis Consultant with hands-on experience in S/4 HANA environments. The role involves system installations, upgrades, kernel patches, performance tuning, user administration, and transport management. Experience in HANA database administration, system refreshes, and security roles is essential. The consultant will work closely with ABAP and functional teams to ensure seamless operations.

Candidate Profile: Exposure to high availability infrastructure Relevant experience of hosting web sites in windows 2003 server, iis 6.0/7.0 and dotnet 2.0/3.0/4.0 Prefered Sql 2005 with clustering. Candidate with Database administration will be preferred. Candidate must have implementation hands on, support candidates are not stable for this profile. Candidate must have good leadership and decision making capability. Experience on AWS will be a big plus but not mandatory.

As Consultant, you are responsible to develop design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new mobile solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Mandatory Skills: LUW/Unix DB2 DBA, Shell Scripting, Linux and AIX knowledge Secondary Skills: Physical DB2 DBA skills, PL/SQL Knowledge and exposure Expert knowledge of IBM DB2 V11.5 installations, configurations administration in Linux /AIX systems. Expert level knowledge in Database restores including redirected restore backup concepts. Excellent understanding of database performance monitoring techniques, fine tuning and able to perform performance checks query optimization Preferred technical and professional experience Good knowledge of utilities like import, load export under high volume conditions. Ability to tune SQLs using db2advisor db2explain. Ability to troubleshoot database issues using db2diag, db2pd, db2dart, db2top tec

Urgent Requirement!!! Notice Period-Immediate to 15days Location- Bengaluru/Chennai/Pune Experience-5+yrs , all relevant *NOTE- Kindly go through the JD before applying The following are the Key responsibilities for this position: Take ownership of the project and work independently in a collaborative environment. Engaged in the project workshops, collaborating with stakeholders and software developers to design the database schema and data models. Establish security measures for safeguarding private data, including encryption and access controls, and conduct routine database audits to find any possible vulnerabilities. Consistently monitors database performance and identifies bottlenecks that may impact the application's performance and responsiveness. Develop and oversee a strategy for disaster recovery (DRM) to protect prevent data loss in the event of disasters or system failures. Implement data governance procedures and making sure that pertinent data regulations and standards are followed. Understanding the project's data security requirements, encryption techniques, and compliance regulations such as GDPR, CCPA, or HIPAA, and creating a strategy to support the project. Manage and maintain databases, conduct routine maintenance tasks, and ensure data availability and integrity. Collaborate with data analysts to provide them with well-structured data and insights needed for business intelligence and analytics. Creating, implementing, and evaluating database-driven applications while following security and performance best practices. Supporting Azure SQL, NO SQL, and other database needs for the project. Programming skills such as SQL, Python, PowerShell, and others to interact with databases and incorporate them into applications. Conduct continuous R&D to provide the team with innovative database features, capabilities, and applications that will enhance the solutions. Skills and Abilities: Extensive and proven DBA expertise in large-scale SQL Server settings, including Azure managed instance databases. Proficient in delivering high- and low-level design (HLD and LLD) for projects, including ER diagrams, data models, and data pipeline flow. Proficient in the principles of database design, i ncluding managing of high-volume instances of Azure SQL configurations that feature high availability, including the use of database performance optimization and monitoring tools. Exceptional analytical and problem-solving abilities, enabling the rapid identification of the root cause of a problem. Proficiency in creating best practice policies and procedures for data security and integrity, along with the monitoring and restriction of database access. Experience managing data warehouses, data lakes, data bricks , and other cloud-based data storage solutions. Experience in the Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO) of disaster recovery are applied to the management of all database instance. Proficiency with SQL, Python, PowerShell scripting , or related technologies for creating application dashboards for proactive monitoring and authoring automation scripts. Proficiency in overseeing cloud-based data storage systems, including data warehouses, data lakes, and data bricks. Experience with the principles and practices of master-slave replication and database storage engines. Proficiency with container technologies, Docker, Kubernetes, Azure DevOps pipelines, CI/CD, and data pipelines in cloud environments. Strong understanding of database security best practices. Knowledge of Azure cloud infrastructure and its capabilities. Working knowledge of the Agile/Waterfall approach and how data pipeline fits into it. Working knowledge of microservices, monolith architecture, and web apps based on MVC, MVVM, and SPA. Knowledge of security regulations, such as Identity & Access Management (IAM), Customer Identity & Access Management (CIAM), and security authentication technologies. Interested candidates can share thier updated resume with neha.beriwal@sapwood.net along with the following details: Current CTC Expected CTC Notice Period Current and Preferred Location Thanks and Regards Neha Beriwal Sr. Consultant Sapwood Ventures

Join us as a Oracle Associate Service Engineer II at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences You may be assessed on the key critical skills relevant for success in role, such as experience with Oracle DBA, PostgreSQL or MS-SQL, SRE ,ESAAS, DevOps, Kubernetes, CI/CD tools as well as job-specific skillsets To be successful as a Oracle Associate Service Engineer II, you should have experience with: Basic/ Essential Qualifications Experience as a Senior Level Database Administrator, with a focus on Oracle and similar database technologies such as PostgreSQL or MS-SQL Proven track record of implementing and leading SRE practices across large organizations or complex teams Expert-level knowledge of telemetry, monitoring, and platform observability tooling (e g , ESAAS, Grafana, Prometheus,) with experience in customizing and scaling these solutions Experience in implementing modern DevOps and SRE practices in enterprise environments Proven expertise in SQL query optimization and database performance tuning at scale Experience with DevOps automation tools such as Code versioning (git), JIRA, Ansible, Containers and Kubernetes (OpenShift), database CI/CD tools and their implementation Recognized as a Oracle subject matter expert, serving as the technical escalation for complex database issues Proven experience in executing database migration strategies at enterprise-scale Exceptional collaboration skills with executives and cross-functional teams Extensive experience working with large, distributed, high-performance, high-availability databases with 24/7 uptime Expert knowledge of database administration on Oracle Expert in multiple versions of Oracle 11g, 12c, 19c Expert knowledge of RMAN, Dataguard, Database Performance Tuning, OEM, plus third-party products such as Imperva Understand and meet the scale, capacity, security, performance attributes, and requirements of the service and technology stack Responsible for debugging the code in case any bug is reported in the Oracle product and fixing the infrastructure/database related issues Hands-on as DevOps on Ansible, Python, PL SQL coding Focus on resilience, scaling, reliability, uptime, and robustness Strong technical skills in areas such as Oracle system administration, networking, cloud infrastructure, automation, and monitoring tools Expert knowledge of Real Application Cluster with Maximum Availability setup Must exhibit SME expertise in solving database contention, Performance Tuning problems (Slow sql response, slow database responce etc) Database, RAC, OEM, OID installation, configuration and integration Database Upgrade, Migration with ZDLR and Patching Expertize in Goldengate configuration, troubleshooting Database Security policies, fine grained auditing Must have extensive experience as Production support Oracle Database Administrator strong experience in handling large, high volume and high criticality environments Demonstrate extensive expertise in performance tuning including both query and database optimization Knowledge of the ITIL framework, vocabulary and best practices Excellent spoken and written English communication skills Desirable Skillsets/ Good To Have Working experience in a financial environment Cloud experience (AWS, Azure, GCP) Oracle Certified Performance Tuning Expert Oracle 19c, 12c or 11g Oracle Certified Maximum Availability Expert Oracle 19c, 12c or 11g Experience of working in a highly regulated environment and the associated processes and tools Expert in system configuration management tools such as Chef, Ansible for database server configurations Expert expertise with scripting languages (e g PowerShell, Python, Bash) for automation/migration tasks AWS Certified Database Specialty certification is a plus This role will be based out of Pune Purpose of the role To apply software engineering techniques, automation, and best practices in incident response, to ensure the reliability, availability, and scalability of the systems, platforms, and technology through them Accountabilities Availability, performance, and scalability of systems and services through proactive monitoring, maintenance, and capacity planning Resolution, analysis and response to system outages and disruptions, and implement measures to prevent similar incidents from recurring Development of tools and scripts to automate operational processes, reducing manual workload, increasing efficiency, and improving system resilience Monitoring and optimisation of system performance and resource usage, identify and address bottlenecks, and implement best practices for performance tuning Collaboration with development teams to integrate best practices for reliability, scalability, and performance into the software development lifecycle, and work closely with other teams to ensure smooth and efficient operations Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate Will have an impact on the work of related teams within the area Partner with other functions and business areas Takes responsibility for end results of a teams operational processing and activities Escalate breaches of policies / procedure appropriately Take responsibility for embedding new policies/ procedures adopted due to risk mitigation Advise and influence decision making within own area of expertise Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function Make evaluative judgements based on the analysis of factual information, paying attention to detail Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents Guide and persuade team members and communicate complex / sensitive information Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window) Show more Show less

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Is fully competent in it''s own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internal/external client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific project/work area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area. Skills (competencies) Verbal Communication

About Medhavi Skills University Medhavi Skills University (MSU) is a government-notified private skills university established under a State Act in Sikkim, dedicated to promoting quality skill education and entrepreneurship integrated with higher education. As a pioneering institution in the convergence of the skilling ecosystem with higher education, MSU aligns with the National Education Policy, 2020 (NEP 2020). Recognized by the UGC and established in 2021, MSU collaborates with industries and Skill Development Institutes to offer work-integrated courses, embedding on-the-job internships and training within the curriculum. MSU is a recognized Awarding Body under the National Council for Vocational Education & Training (NCVET) and is empaneled with the Directorate General of Training (DGT). As an anchor university partner with the National Skill Development Corporation (NSDC) and the Project Management Unit (PMU) of NSDC International, MSU is committed to preparing youth for the future workspace by co- working with industry partners to design and implement demand-driven programs. For more information, visit https://msu.edu.in/ Role Overview: We are seeking a passionate and experienced Adjunct Faculty member to teach and mentor undergraduate students in the areas of Data Management, Digital Applications, and MIS. The ideal candidate should possess strong academic knowledge and practical industry exposure in database systems, enterprise applications, and data-driven decision-making tools. Key Responsibilities: Deliver engaging lectures, labs, and tutorials on topics including Design and develop mobile applications using native (Kotlin/Swift) or cross-platform frameworks (Flutter/React Native), and Integrate apps with backend services and APIs. Design and assess assignments, practical, and exams aligned with course outcomes. Guide students on projects involving real-world data handling and mobile application. Collaborate with the academic team to update course content as per industry needs. Provide mentorship and support to students in academic and skill development. Stay updated with the latest trends in mobile development technologies. Qualifications & Skills Required: BCA/MSc IT/MCA with Experience in relevant field. Data Collection & Validation: Ensure accurate collection, entry, and validation of institutional or organizational data across departments to maintain data integrity. Database Administration: Manage and maintain databases (SQL, MS Access, etc.), ensuring data security, backup, and efficient retrieval mechanisms. MIS Reporting: Design, develop, and generate regular MIS reports for management, aiding in strategic planning, decision-making, and performance tracking. Digital Application Management: Implement, monitor, and troubleshoot web-based and mobile digital applications used for academic, administrative, or operational workflows. System Integration & Automation: Integrate various data systems (ERP, CRM, LMS, etc.) and automate routine data processing tasks for improved operational efficiency. User Training & Support: Provide technical support and training to staff/users on data systems, dashboards, and digital tools to ensure effective use and adoption. Proven teaching experience or industry background in data systems, MIS, or digital applications. Proficiency in tools like MS Excel, SQL, ERP systems, Power BI, or equivalent platforms. Industry links in the relevant fields What We Offer Being a key player in something potentially massive and world-changing Competitive salary and incentive structure, best in the industry. Opportunities for professional development and growth. A supportive and collaborative work environment. The chance to make a meaningful impact on the careers and lives of working professionals. . Medhavi Skills University is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn t clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firms code of conduct, and independence requirements. Education Degrees/Field of Study required Master of Business Administration, Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Structured Query Language (SQL) Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decisionmaking. These individuals handle data governance, quality control, and data integration to support business operations. In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. s Develop and design custom Collibra workflows that meet business and governance requirements for data product management, access management, data catalog management using Workflow Designer module. Integrate Collibra seamlessly with Azure using out of the box and custom connectors, ensuring optimal performance and scalability. Collaborate with crossfunctional business teams to understand functional data governance workflow requirements and translate them into effective Collibra workflow diagrams. Utilize Groovy scripting to develop the required workflows and enhance Collibra functionalities. Provide technical expertise and guidance on best practices for designing and implementing workflows using Collibra in an Azure services and environment. Conduct thorough testing and validation of workflows to ensure robustness and reliability. Document solutions and create user guides to facilitate smooth adoption and usage by Client teams Coordinate in change management process. Resolve technical issues as required. Support and enhance data management and governance initiatives. Mandatory skill sets Implementation, configuration, maintenance of Collibra environments. Expert in Development of custom workflows on Collibra platform, managing Data catalogues for Azure services, mapping business/technical requirements to Collibra features. Experience in data product management, data sharing, data access using Collibra. Experience in installing Collibra Connectors, running ingestions from a variety of sources especially from Azure ecosystem and handson experience Collibra, its JAVA & REST APIs including ability develop groovy scripts. Experience in Production Rollouts and successful implementation of Collibra features. Complies with security standards and technical Preferred skill sets Certifications in Collibra Years of experience required 58 Education qualification B.Tech / M.Tech / MBA / MCA Education Degrees/Field of Study required Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred Required Skills Collibra Data Governance Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decisionmaking. These individuals handle data governance, quality control, and data integration to support business operations. In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn t clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firms code of conduct, and independence requirements. Education Degrees/Field of Study required Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred Required Skills Informatica Cloud Data Governance & Catalog (CDGC) Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. s We are currently seeking an experienced Agile Coach ( FS domain) for our client for their agile transformation journey. Ideally, the candidate should hold the ICPACC certification and possess a strong background in coaching agile teams, facilitating agile practices, and fostering a culture of continuous improvement. Mandatory skill sets Must have knowledge, skills and experiences ICPACC (ICAgile Certified Professional in Agile Coaching) Proven experience in agile coaching across multiple teams or departments Preferred skill sets Good to have knowledge, skills and experiences Strong facilitation, mentoring, and training skills Excellent communication and interpersonal abilities Years of experience required Experience and Qualifications Experience 10+ Years NP Immediate to 30 days Location Bangalore 3 days / week work from client office Education qualification o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration, Master of Engineering Degrees/Field of Study preferred Required Skills Agile Coaching Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decisionmaking. These individuals handle data governance, quality control, and data integration to support business operations. In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. s Develop and implement data governance solutions using Informatica CDGC. Configure and manage metadata ingestion, lineage, and data cataloging functionalities. Collaborate with data stewards to define and enforce data governance policies and standards. Design and implement data quality rules and metrics to monitor and improve data accuracy. Integrate CDGC with other enterprise systems and data sources for seamless metadata management. Work with business users to capture and maintain business glossaries and data dictionaries. Conduct data profiling and analysis to support data governance initiatives. Provide training and support to users on leveraging CDGC for data governance and cataloging. Participate in solution design reviews, troubleshooting, and performance tuning. Stay updated with the latest trends and best practices in data governance and cataloging. Mandatory skill sets 4+ years of experience in data governance and cataloging, with at least 1 year on the Informatica CDGC platform. Proficiency in configuring and managing Informatica CDGC components. Ability to integrate CDGC with various data sources and enterprise system Experience in debugging issues & applying fixes in Informatica CDGC In depth understanding of Data Management landscape including technology landscape, standards, and best practices prevalent in data governance, metadata management, cataloging, data lineage, data quality, and data privacy. Familiarity with data management principles and practices in DMBOK. Experience in creating frameworks, policies and processes. Strong experimental mindset to drive innovation amidst uncertainty and solving problems. Strong experience in process improvements, handson operational management, and change management. Preferred skill sets Certifications in Data Governance or related fields (e.g., DAMACDMP, DCAM, CDMC) or any Data Governance tool certification Experience in other Data Governance Tool like Collibra, Talend, Microsoft Purview, Atlan, Solidatus etc. Experience in working on RFPs, internal/external POVs, Accelerators and other Years of experience required 47 Education qualification B.Tech / M.Tech / MBA / MCA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Technology Degrees/Field of Study preferred Required Skills Informatica Cloud Data Governance & Catalog (CDGC) Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decisionmaking. These individuals handle data governance, quality control, and data integration to support business operations. In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. s Develop and implement data governance solutions using Informatica CDGC. Configure and manage metadata ingestion, lineage, and data cataloging functionalities. Collaborate with data stewards to define and enforce data governance policies and standards. Design and implement data quality rules and metrics to monitor and improve data accuracy. Integrate CDGC with other enterprise systems and data sources for seamless metadata management. Work with business users to capture and maintain business glossaries and data dictionaries. Conduct data profiling and analysis to support data governance initiatives. Provide training and support to users on leveraging CDGC for data governance and cataloging. Participate in solution design reviews, troubleshooting, and performance tuning. Stay updated with the latest trends and best practices in data governance and cataloging. Mandatory skill sets 6+ years of experience in data governance and cataloging, with at least 1 year on the Informatica CDGC platform. Proficiency in configuring and managing Informatica CDGC components. Ability to integrate CDGC with various data sources and enterprise system Experience in debugging issues & applying fixes in Informatica CDGC In depth understanding of Data Management landscape including technology landscape, standards, and best practices prevalent in data governance, metadata management, cataloging, data lineage, data quality, and data privacy. Familiarity with data management principles and practices in DMBOK. Experience in creating frameworks, policies and processes. Strong experimental mindset to drive innovation amidst uncertainty and solving problems. Strong experience in process improvements, handson operational management, and change management. Preferred skill sets Certifications in Data Governance or related fields (e.g., DAMACDMP, DCAM, CDMC) or any Data Governance tool certification Experience in other Data Governance Tool like Collibra, Talend, Microsoft Purview, Atlan, Solidatus etc. Experience in working on RFPs, internal/external POVs, Accelerators and other Years of experience required 710 Education qualification B.Tech / M.Tech / MBA / MCA Education Degrees/Field of Study required Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred Required Skills Informatica Cloud Data Governance & Catalog (CDGC) Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Coaching and Feedback, Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy {+ 22 more} Travel Requirements Government Clearance Required?

Senior Manager, Data Engineer Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. A n integral part of the company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers . Role Overview: For the Senior Data Engineer role, we are looking for professional with experience in designing, developing, and maintaining data pipelines. We intend to make data reliable, governed, secure and available for analytics within the organization. As part of a team this role will be responsible for data management with a broad range of activities like data ingestion to cloud data lakes and warehouses, quality control, metadata management and orchestration of machine learning models. We are also forward looking and plan to bring innovations like data mesh and data fabric into our ecosystem of tools and processes. What will you do in this role: Design, develop and maintain data pipelines to extract data from a variety of sources and populate data lake and data warehouse. Develop the various data transformation rules and data modeling capabilities. Collaborate with Data Analyst, Data Scientists, Machine Learning Engineers to identify and transform data for ingestion, exploration, and modeling. Work with data governance team and implement data quality checks and maintain data catalogs. Use Orchestration, logging, and monitoring tools to build resilient pipelines. Use test driven development methodology when building ELT/ETL pipelines. Develop pipelines to ingest data into cloud data warehouses. Analyze data using SQL. Use serverless AWS services like Glue, Lambda, Step Functions Use Terraform Code to deploy on AWS. Containerize Python code using Docker. Use Git for version control and understand various branching strategies. Build pipelines to work with large datasets using PySpark Develop proof of concepts using Jupyter Notebooks Work as part of an agile team. Create technical documentation as needed. What Should you have: 4-10 years of relevant experience Good experience with AWS services like S3, ECS, Fargate , Glue, Any AWS developer or architect certification Agile development methodology Step Functions , CloudWatch, Lambda, EMR SQL Proficient in Python, PySpark Good with Git, Docker, Terraform Ability to work in cross functional teams Bachelor s Degree or equivalent experience in a relevant field such as Engineering (preferably computer eng ineers .), Computer Scienc e Our t echnology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation . Who we are: What we look for: Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, S you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs Preferred Skills: Job Posting End Date: 01/31/2025 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities About the Role We are hiring sharp, handson Data Engineers to build scalable data solutions and drive performance across modern data platforms. If you love writing clean code, solving tough data problems, and automating workflows, this role is for you. What you will do Build and manage highperformance data pipelines for batch and near realtime use cases Write optimized, complex SQL queries and stored procedures for analytics and reporting Develop modular Python scripts for automation, file processing, and data transformation using Pandas/NumPy Optimize queries and scripts over largescale datasets (TBs) with a focus on speed and efficiency Build versioned, testable data models using DBT Orchestrate multistep workflows with Apache Airflow Collaborate across teams to convert data needs into robust technical solutions Mandatory skill sets Must have knowledge, skills and experiences 5+ years of handson experience in Data Engineering Strong command over SQL and Python, especially for transformation and automation Deep experience with DBT and Airflow in production environments Solid understanding of ETL/ELT, data modeling, and pipeline performance tuning Strong analytical thinking and debugging skills Preferred skill sets Good to have knowledge, skills and experiences Experience with Teradata and Starburst (Presto/Trino) Familiarity with cloud platforms (Azure/GCP/Snowflake) Exposure to onprem to cloud data migrations Knowledge of Gitbased workflows and CI/CD pipelines Years of experience required Experience 58 years Education qualification o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) Education Degrees/Field of Study required Master of Business Administration, Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Structured Query Language (SQL) Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI & Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. s About the Role We are hiring sharp, handson Data Engineers to build scalable data solutions and drive performance across modern data platforms. If you love writing clean code, solving tough data problems, and automating workflows, this role is for you. What you will do Build and manage highperformance data pipelines for batch and near realtime use cases Write optimized, complex SQL queries and stored procedures for analytics and reporting Develop modular Python scripts for automation, file processing, and data transformation using Pandas/NumPy Optimize queries and scripts over largescale datasets (TBs) with a focus on speed and efficiency Build versioned, testable data models using DBT Orchestrate multistep workflows with Apache Airflow Collaborate across teams to convert data needs into robust technical solutions Mandatory skill sets Must have knowledge, skills and experiences 5+ years of handson experience in Data Engineering Strong command over SQL and Python, especially for transformation and automation Deep experience with DBT and Airflow in production environments Solid understanding of ETL/ELT, data modeling, and pipeline performance tuning Strong analytical thinking and debugging skills Preferred skill sets Good to have knowledge, skills and experiences Experience with Teradata and Starburst (Presto/Trino) Familiarity with cloud platforms (Azure/GCP/Snowflake) Exposure to onprem to cloud data migrations Knowledge of Gitbased workflows and CI/CD pipelines Years of experience required Experience 58 years Education qualification o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration, Bachelor of Technology, Master of Engineering Degrees/Field of Study preferred Required Skills Data Engineering, Python (Programming Language), Structured Query Language (SQL) Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more} No

Not Applicable Specialism Data, Analytics & AI & Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. s About the Role We are hiring sharp, handson Data Engineers to build scalable data solutions and drive performance across modern data platforms. If you love writing clean code, solving tough data problems, and automating workflows, this role is for you. What you will do Build and manage highperformance data pipelines for batch and near realtime use cases Write optimized, complex SQL queries and stored procedures for analytics and reporting Develop modular Python scripts for automation, file processing, and data transformation using Pandas/NumPy Optimize queries and scripts over largescale datasets (TBs) with a focus on speed and efficiency Build versioned, testable data models using DBT Orchestrate multistep workflows with Apache Airflow Collaborate across teams to convert data needs into robust technical solutions Mandatory skill sets Must have knowledge, skills and experiences 5+ years of handson experience in Data Engineering Strong command over SQL and Python, especially for transformation and automation Deep experience with DBT and Airflow in production environments Solid understanding of ETL/ELT, data modeling, and pipeline performance tuning Strong analytical thinking and debugging skills Preferred skill sets Good to have knowledge, skills and experiences Experience with Teradata and Starburst (Presto/Trino) Familiarity with cloud platforms (Azure/GCP/Snowflake) Exposure to onprem to cloud data migrations Knowledge of Gitbased workflows and CI/CD pipelines Years of experience required Experience 58 years Education qualification o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) Education Degrees/Field of Study required Bachelor of Technology, Master of Engineering, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Data Engineering, Python (Programming Language), Structured Query Language (SQL) Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more} No

Not Applicable Specialism Data, Analytics & AI & Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. s About the Role We are hiring sharp, handson Data Engineers to build scalable data solutions and drive performance across modern data platforms. If you love writing clean code, solving tough data problems, and automating workflows, this role is for you. What you will do Build and manage highperformance data pipelines for batch and near realtime use cases Write optimized, complex SQL queries and stored procedures for analytics and reporting Develop modular Python scripts for automation, file processing, and data transformation using Pandas/NumPy Optimize queries and scripts over largescale datasets (TBs) with a focus on speed and efficiency Build versioned, testable data models using DBT Orchestrate multistep workflows with Apache Airflow Collaborate across teams to convert data needs into robust technical solutions Mandatory skill sets Must have knowledge, skills and experiences 5+ years of handson experience in Data Engineering Strong command over SQL and Python, especially for transformation and automation Deep experience with DBT and Airflow in production environments Solid understanding of ETL/ELT, data modeling, and pipeline performance tuning Strong analytical thinking and debugging skills Preferred skill sets Good to have knowledge, skills and experiences Experience with Teradata and Starburst (Presto/Trino) Familiarity with cloud platforms (Azure/GCP/Snowflake) Exposure to onprem to cloud data migrations Knowledge of Gitbased workflows and CI/CD pipelines Years of experience required Experience 58 years Education qualification o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) Education Degrees/Field of Study required Bachelor of Technology, Master of Engineering, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Data Engineering, Python (Programming Language), Structured Query Language (SQL) Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more} No