8555 Data Modeling Jobs - Page 14

Career Category Information Systems Job Description Join Amgen s Mission of Serving Patients At Amgen, if you feel like you re part of something bigger, it s because you are. Our shared mission to serve patients living with serious illnesses drives all that we do. Since 1980, we ve helped pioneer the world of biotech in our fight against the world s toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease we reach millions of patients each year. As a member of the Amgen team, you ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Principal Data Engineer What you will do Let s do this. Let s change the world. Role Description: We are seeking a seasoned Principal Data Engineer to lead the design, development, and implementation of our data strategy. The ideal candidate possesses a deep understanding of data engineering principles, coupled with strong leadership and problem-solving skills. As a Principal Data Engineer, you will architect and oversee the development of robust data platforms, while mentoring and guiding a team of data engineers. Roles & Responsibilities: Possesses strong rapid prototyping skills and can quickly translate concepts into working code. Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and standard methodologies. Design, develop, and implement robust data architectures and platforms to support business objectives. Oversee the development and optimization of data pipelines, and data integration solutions. Establish and maintain data governance policies and standards to ensure data quality, security, and compliance. Architect and manage cloud-based data solutions, demonstrating AWS or other preferred platforms. Lead and motivate a strong data engineering team to deliver exceptional results. Identify, analyze, and resolve complex data-related challenges. Collaborate closely with business collaborators to understand data requirements and translate them into technical solutions. Stay abreast of emerging data technologies and explore opportunities for innovation. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree / Masters degree / Bachelors degree and 12 to 17 years of experience in Computer Science, IT or related field of experience Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies. Proficient on experience in Python, PySpark, SQL. Handon experience with bid data ETL performance tuning. Proven ability to lead and develop strong data engineering teams. Strong problem-solving, analytical, and critical thinking skills to address complex data challenges. Preferred Qualifications: Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with Apache Spark, Apache Airflow Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc. ), CI/CD (Jenkins, Maven etc. ), automated unit testing, and Dev Ops Experienced with AWS, GCP or Azure cloud services Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers. amgen. com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .

Career Category Information Systems Job Description Join Amgen s Mission of Serving Patients At Amgen, if you feel like you re part of something bigger, it s because you are. Our shared mission to serve patients living with serious illnesses drives all that we do. Since 1980, we ve helped pioneer the world of biotech in our fight against the world s toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease we reach millions of patients each year. As a member of the Amgen team, you ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. What you will do As a Data Engineer, you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree / Bachelors degree and 5 to 9 years of Computer Science, IT or related field experience. Must-Have Skills: Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), Snowflake, workflow orchestration, performance tuning on big data processing Proficiency in data analysis tools (eg. SQL) Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Proven ability to optimize query performance on big data platforms Preferred Qualifications: Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing Knowledge of Python/R, Databricks, SageMaker, cloud data platforms Strong knowledge on Oracle / SQL Server, Stored Procedure, PL/SQL, Knowledge on LINUX OS Knowledge on Data visualization and analytics tools like Spotfire, PowerBI Strong understanding of data governance frameworks, tools, and best practices. Knowledge of data protection regulations and compliance requirements (e. g. , GDPR, CCPA) Professional Certifications: Databricks Certificate preferred AWS Data Engineer/Architect Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers. amgen. com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .

As a data engineer, you will be responsible for delivering data intelligence solutions to our customers all around the globe, based on an innovative product, which provides insights into the performance of their material handling systems. You will be working on implementing and deploying the product as well as designing solutions to fit it to our customer needs. You will work together with an energetic and multidisciplinary team to build end-to-end data ingestion pipelines and implement and deploy dashboards. Your tasks and responsibilities You will design and implement data & dashboarding solutions to maximize customer value. You will deploy and automate the data pipelines and dashboards to enable further project implementation. You embrace working in an international , diverse team, with an open and respectful atmosphere. You leverage data by making it available for other teams within our department as well to enable our platform vision . Communicate and work closely with other groups within Vanderlande and the project team. You enjoy an independent and self-reliant way of working with a proactive style of communication to take ownership to provide the best possible solution. You will be part of an agile team that encourages you to speak up freely about improvements, concerns, and blockages. As part of Scrum methodology , you will independently create stories and participate in the refinement process. You collect feedback and always search for opportunities to improve the existing standardized product. Execute projects from conception through client handover with a positive contribution on technical performance and the organization. You will take the lead in communication with different stakeholders that are involved in the projects that are being deployed. Your p rofile Bachelor's or master's degree in computer science, IT, or equivalent and a minimum of 6 + years of experience building and deploying complex data pipelines and data solutions. Experience developing end to end data pipelines using technologies like Databricks . E xperience with visualization software, preferably Splunk (or else PowerBI , Tableau, or similar). Strong experience with SQL & Python, with hands-on experience in data modeling . Hands-on experience with programming in Python or Java , and proficiency in Test-Driven Development using pytest . Experience with P yspark or S park SQL to deal with distributed data. Experience with d ata s chemas ( e.g. JSON/XML/Avro) . Experience in d eploying services as containers ( e.g. Docker , Podman ) . Experience in w orking with cloud services (preferably with Azure) . Experience with s treaming and/or batch storage ( e.g. Kafka, Oracle) is a plus . Experience in creating API s is a plus . Experience in guiding, motivating and training engineers. Experience in data quality management and monitoring is a plus. Strong communication skills in English. Skilled at breaking down large problems into smaller, manageable parts.

Role Overview: Skyhigh Security is hiring a Business Intelligence Developer to join our Engineering Excellence organization. Reporting to the VP of Engineering Excellence, youll play a key role in helping the company measure, visualize, and optimize software delivery performance by integrating data from across the engineering toolchain and building actionable, insightful dashboards. About the Role Skyhigh Security is hiring a Business Intelligence Developer to join our Engineering Excellence organization. Reporting to the VP of Engineering Excellence , youll play a key role in helping the company measure, visualize, and optimize software delivery performance by integrating data from across the engineering toolchain and building actionable, insightful dashboards. Working alongside engineering teams, DevOps, and engineering-quality leaders, youll design and implement dashboards that surface DORA metrics and other critical indicators of engineering velocity, quality, and stability. Your work will provide engineering leaders and teams with the visibility they need to drive continuous improvement, reduce bottlenecks, and increase delivery confidence. This role combines deep technical BI skills with an understanding of software development workflows . You will own the integration of data from tools like Jira, GitHub, Jenkins, and CI/CD pipelines , and apply your expertise in SQL, Python, and visualization tools to transform raw data into insights that matter. Responsibilities: Design and build dashboards that track DORA metrics and other Agile delivery KPIs. Integrate data from developer tools (e.g., Jira, GitHub, CI/CD platforms) via APIs, webhooks, and ETL pipelines. Define data models and transformations to support clear, reliable visualizations. Partner with engineering leaders to define metric strategies aligned to business and technical outcomes. Ensure reporting solutions are scalable, accurate, and tailored to various stakeholder needs. Requirements: Strong skills in SQL and Python for data processing and integration. Hands-on experience with Tableau , EazyBI , Power BI , or similar tools. Deep understanding of DORA metrics , Agile metrics, and engineering performance indicators. Familiarity with toolchain APIs (e.g., Jira, GitHub, Jenkins, ArgoCD) and ETL practices. Strong data modeling and storytelling skills with a focus on clarity and actionability.

Job Title: Data Engineer Job Type: Full-time Department: Data Engineering / Data Science Reports To: Data Engineering Manager / Chief Data Officer About the Role: We are looking for a talented Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines and systems that process and store large volumes of data. You will collaborate closely with data scientists, analysts, and business stakeholders to deliver high-quality, actionable data solutions. This role requires a strong background in data engineering, database technologies, and cloud platforms, along with the ability to work in an Agile environment to drive data initiatives forward. Responsibilities: Design, build, and maintain scalable and efficient data pipelines that move, transform, and store large datasets. Develop and optimize ETL processes using tools such as Apache Spark , Apache Kafka , or AWS Glue . Work with SQL and NoSQL databases to ensure the availability, consistency, and reliability of data. Collaborate with data scientists and analysts to ensure data requirements and quality standards are met. Design and implement data models, schemas, and architectures for data lakes and data warehouses. Automate manual data processes to improve efficiency and data processing speed. Ensure data security, privacy, and compliance with industry standards and regulations. Continuously evaluate and integrate new tools and technologies to enhance data engineering processes. Troubleshoot and resolve data quality and performance issues. Participate in code reviews and contribute to a culture of best practices in data engineering. Requirements: 3-10 years of experience as a Data Engineer or in a similar role. Strong proficiency in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra). Experience with big data technologies such as Apache Hadoop , Spark , Hive , and Kafka . Hands-on experience with cloud platforms like AWS , Azure , or Google Cloud . Proficiency in Python , Java , or Scala for data processing and scripting. Familiarity with data warehousing concepts, tools, and technologies (e.g., Snowflake , Redshift , BigQuery ). Experience working with data modeling, data lakes, and data pipelines. Solid understanding of data governance, data privacy, and security best practices. Strong problem-solving and debugging skills. Ability to work in an Agile development environment. Excellent communication skills and the ability to work cross-functionally.

Job Title: Data Engineer Job Type: Full-time Department: Data Engineering / Data Science Reports To: Data Engineering Manager / Chief Data Officer About the Role: We are looking for a talented Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines and systems that process and store large volumes of data. You will collaborate closely with data scientists, analysts, and business stakeholders to deliver high-quality, actionable data solutions. This role requires a strong background in data engineering, database technologies, and cloud platforms, along with the ability to work in an Agile environment to drive data initiatives forward. Responsibilities: Design, build, and maintain scalable and efficient data pipelines that move, transform, and store large datasets. Develop and optimize ETL processes using tools such as Apache Spark , Apache Kafka , or AWS Glue . Work with SQL and NoSQL databases to ensure the availability, consistency, and reliability of data. Collaborate with data scientists and analysts to ensure data requirements and quality standards are met. Design and implement data models, schemas, and architectures for data lakes and data warehouses. Automate manual data processes to improve efficiency and data processing speed. Ensure data security, privacy, and compliance with industry standards and regulations. Continuously evaluate and integrate new tools and technologies to enhance data engineering processes. Troubleshoot and resolve data quality and performance issues. Participate in code reviews and contribute to a culture of best practices in data engineering. Requirements: 3-10 years of experience as a Data Engineer or in a similar role. Strong proficiency in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra). Experience with big data technologies such as Apache Hadoop , Spark , Hive , and Kafka . Hands-on experience with cloud platforms like AWS , Azure , or Google Cloud . Proficiency in Python , Java , or Scala for data processing and scripting. Familiarity with data warehousing concepts, tools, and technologies (e.g., Snowflake , Redshift , BigQuery ). Experience working with data modeling, data lakes, and data pipelines. Solid understanding of data governance, data privacy, and security best practices. Strong problem-solving and debugging skills. Ability to work in an Agile development environment. Excellent communication skills and the ability to work cross-functionally.

Job Title: Data Engineer Job Type: Full-time Department: Data Engineering / Data Science Reports To: Data Engineering Manager / Chief Data Officer About the Role: We are looking for a talented Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines and systems that process and store large volumes of data. You will collaborate closely with data scientists, analysts, and business stakeholders to deliver high-quality, actionable data solutions. This role requires a strong background in data engineering, database technologies, and cloud platforms, along with the ability to work in an Agile environment to drive data initiatives forward. Responsibilities: Design, build, and maintain scalable and efficient data pipelines that move, transform, and store large datasets. Develop and optimize ETL processes using tools such as Apache Spark , Apache Kafka , or AWS Glue . Work with SQL and NoSQL databases to ensure the availability, consistency, and reliability of data. Collaborate with data scientists and analysts to ensure data requirements and quality standards are met. Design and implement data models, schemas, and architectures for data lakes and data warehouses. Automate manual data processes to improve efficiency and data processing speed. Ensure data security, privacy, and compliance with industry standards and regulations. Continuously evaluate and integrate new tools and technologies to enhance data engineering processes. Troubleshoot and resolve data quality and performance issues. Participate in code reviews and contribute to a culture of best practices in data engineering. Requirements: 3-10 years of experience as a Data Engineer or in a similar role. Strong proficiency in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra). Experience with big data technologies such as Apache Hadoop , Spark , Hive , and Kafka . Hands-on experience with cloud platforms like AWS , Azure , or Google Cloud . Proficiency in Python , Java , or Scala for data processing and scripting. Familiarity with data warehousing concepts, tools, and technologies (e.g., Snowflake , Redshift , BigQuery ). Experience working with data modeling, data lakes, and data pipelines. Solid understanding of data governance, data privacy, and security best practices. Strong problem-solving and debugging skills. Ability to work in an Agile development environment. Excellent communication skills and the ability to work cross-functionally.

About Protiviti India Protiviti India is a global business consulting firm dedicated to helping leaders confidently face the future. Operating in over 25 countries with more than 90 offices worldwide, we are supported by over 11,000 professionals globally and achieved a global revenue of $2.10 billion as of January 2024. As a wholly-owned subsidiary of Robert Half (NYSE: RHI), we deliver deep expertise across various solutions including Internal Audit & Financial Advisory, Technology & Digital, Financial Services - Risk, Business Performance Improvement, and Managed Business Services. With a strong and growing presence across major Indian cities, Protiviti India prides itself on being a genuinely independent firm with proven methodologies and experienced professionals. Our vision is to bring confidence in a dynamic world, guided by values like integrity, innovation, and collaboration. We also maintain a strong partnership with the Confederation of Indian Industry (CII). We are currently expanding our Enterprise Application Services (EAS) within the Technology & Digital solution area, where we are proud to be a diamond-level partner for SAP Labs and globally ranked as the 11th preferred partner for SAP, with an ambitious goal to reach the top 5. About the Role: Senior SAP Analytics Cloud (SAC) Planning Consultant We are seeking a highly skilled and experienced Senior SAP Analytics Cloud (SAC) Planning Consultant to join our team in Hyderabad . This role is ideal for a professional with 4-6 years of experience in Enterprise Performance Management (EPM) and financial planning solutions. The successful candidate will play a key role in the design, development, and implementation of SAC Planning models to drive enterprise-wide forecasting, budgeting, and what-if analysis. The ideal candidate will possess a strong understanding of financial planning processes and SAC's capabilities, along with collaborative abilities to work with stakeholders and contribute to project success. Key Responsibilities: Participate in the end-to-end implementation of SAP Analytics Cloud (SAC) Planning solutions, including design, development, deployment, and support. Design and develop interactive dashboards, stories, and visualizations using SAP Analytics Cloud. Develop robust data models within SAC, utilizing live or imported data connections (SAP HANA, BW, S/4HANA, etc.). Integrate SAC with SAP and non-SAP data sources using connectors, OData services, and APIs. Optimize dashboards for performance, responsiveness, and usability across various devices. Implement planning models, input forms, and contribute to predictive features within SAC Planning. Contribute to defining architecture and best practices for model building, data actions, multi-actions, allocations, predictive forecasting, and value driver trees. Collaborate effectively with finance, supply chain, and sales teams to gather requirements and translate them into scalable planning models. Integrate SAC Planning with SAP S/4HANA, BW/4HANA, HANA views, or other external systems. Support performance optimization of stories, models, and planning workflows for maximum efficiency. Leverage SACs capabilities such as charts, tables, KPIs, input controls, linked analysis, calculated measures, restricted measures, hierarchies, parameters, and formulas effectively. Connect to other cloud/on-premises data sources via OData, REST APIs, or SAP Cloud Connector. Required Qualifications & Skills: 4-6 years of experience in Enterprise Performance Management (EPM), with a strong focus on financial planning solutions. Good understanding and hands-on experience in SAP Analytics Cloud (SAC) Planning. Strong experience in model building, data actions, multi-actions, and exposure to predictive forecasting and value driver trees. Experience in integrating SAC with SAP S/4HANA, BW/4HANA, HANA views, or other external systems. Solid financial planning knowledge, with experience in budgeting, forecasting, and what-if analysis processes. Ability to contribute to performance optimization in SAC stories, models, and planning workflows. Strong experience in dashboard design, data modeling, and SAC scripting. Proficiency in connecting SAC to SAP BW, S/4HANA, or SAP HANA. Clear understanding of business processes in domains such as finance, sales, logistics, HR, etc. Preferred Qualifications: Experience in SAC advanced features, such as predictive forecasting, allocations, and multi-actions. Exposure to SAP BW/4HANA, SAP S/4HANA, and integrating external systems into SAC Planning models. Certification in SAP Analytics Cloud or related EPM tools. Familiarity with tools like SAP Solution Manager, JIRA, and ServiceNow. Soft Skills: Excellent communication skills to effectively collaborate with teams and stakeholders. Strong analytical skills, with the ability to translate requirements into actionable solutions. Ability to collaborate effectively with cross-functional teams in a fast-paced environment. Adaptable, proactive, and solution-oriented mindset with a focus on continuous improvement.

Role & responsibilities Design, develop, and deploy Power BI solutions and dashboards. Gather and analyze business requirements to translate them into effective reporting solutions. Create and manage data models, perform DAX queries, and design data visualizations. Ensure data accuracy and integrity in reports and dashboards. Troubleshoot data issues and optimize report performance. Collaborate with stakeholders to define KPIs and reporting metrics. Maintain documentation and conduct knowledge sharing sessions as required. Preferred candidate profile Strong expertise in Power BI (Power BI Desktop, Power BI Service, DAX). Working knowledge of Windows Operating System. Experience with data transformation using Power Query and connecting to various data sources. Preferred Skills Basic understanding of SQL, Excel, and data warehousing concepts. Familiarity with other BI tools or scripting languages is a plus.

POSITION OVERVIEW: We are seeking an experienced and highly skilled Data Engineer with deep expertise in Microsoft Fabric , MS-SQL, data warehouse architecture design , and SAP data integration. The ideal candidate will be responsible for designing, building, and optimizing data pipelines and architectures to support our enterprise data strategy. The candidate will work closely with cross-functional teams to ingest, transform, and make data (from SAP and other systems) available in our Microsoft Azure environment, enabling robust analytics and business intelligence. KEY ROLES & RESPONSIBILITIES : Spearhead the design, development, deployment, testing, and management of strategic data architecture, leveraging cutting-edge technology stacks on cloud, on-prem and hybrid environments Design and implement an end-to-end data architecture within Microsoft Fabric / SQL, including Azure Synapse Analytics (incl. Data warehousing). This would also encompass a Data Mesh Architecture. Develop and manage robust data pipelines to extract, load, and transform data from SAP systems (e.g., ECC, S/4HANA, BW). Perform data modeling and schema design for enterprise data warehouses in Microsoft Fabric. Ensure data quality, security, and compliance standards are met throughout the data lifecycle. Enforce Data Security measures, strategies, protocols, and technologies ensuring adherence to security and compliance requirements Collaborate with BI, analytics, and business teams to understand data requirements and deliver trusted datasets. Monitor and optimize performance of data processes and infrastructure. Document technical solutions and develop reusable frameworks and tools for data ingestion and transformation. Establish and maintain robust knowledge management structures, encompassing Data Architecture, Data Policies, Platform Usage Policies, Development Rules, and more, ensuring adherence to best practices, regulatory compliance, and optimization across all data processes Implement microservices, APIs and event-driven architecture to enable agility and scalability. Create and maintain architectural documentation, diagrams, policies, standards, conventions, rules and frameworks to effective knowledge sharing and handover. Monitor and optimize the performance, scalability, and reliability of the data architecture and pipelines. Track data consumption and usage patterns to ensure that infrastructure investment is effectively leveraged through automated alert-driven tracking. KEY COMPETENCIES: Microsoft Certified: Fabric Analytics Engineer Associate or equivalent certificate for MS SQL. Prior experience working in cloud environments (Azure preferred). Understanding of SAP data structures and SAP integration tools like SAP Data Services, SAP Landscape Transformation (SLT), or RFC/BAPI connectors. Experience with DevOps practices and version control (e.g., Git). Deep understanding of SAP architecture, data models, security principles, and platform best practices. Strong analytical skills with the ability to translate business needs into technical solutions. Experience with project coordination, vendor management, and Agile or hybrid project delivery methodologies. Excellent communication, stakeholder management, and documentation skills. Strong understanding of data warehouse architecture and dimensional modeling. Excellent problem-solving and communication skills. QUALIFICATIONS / EXPERIENCE / SKILLS Qualifications : Bachelors degree in Computer Science, Information Systems, or a related field. Certifications such as SQL, Administrator, Advanced Administrator, are preferred. Expertise in data transformation using SQL, PySpark, and/or other ETL tools. Strong knowledge of data governance, security, and lineage in enterprise environments. Advanced knowledge in SQL, database procedures/packages and dimensional modeling Proficiency in Python, and/or Data Analysis Expressions (DAX) (Preferred, not mandatory) Familiarity with PowerBI for downstream reporting (Preferred, not mandatory). Experience : • 10 years of experience as a Data Engineer or in a similar role. Skills: Hands-on experience with Microsoft SQL (MS-SQL), Microsoft Fabric including Synapse (Data Warehousing, Notebooks, Spark) Experience integrating and extracting data from SAP systems, such as: o SAP ECC or S/4HANA SAP BW o SAP Core Data Services (CDS) Views or OData Services Knowledge of Data Protection laws across countries (Preferred, not mandatory)

About Protiviti India Protiviti India is a global business consulting firm dedicated to helping leaders confidently face the future. Operating in over 25 countries with more than 90 offices worldwide, we are supported by over 11,000 professionals globally and achieved a global revenue of $2.10 billion as of January 2024. As a wholly-owned subsidiary of Robert Half (NYSE: RHI), we deliver deep expertise across various solutions including Internal Audit & Financial Advisory, Technology & Digital, Financial Services - Risk, Business Performance Improvement, and Managed Business Services. With a strong and growing presence across major Indian cities, Protiviti India prides itself on being a genuinely independent firm with proven methodologies and experienced professionals. Our vision is to bring confidence in a dynamic world, guided by values like integrity, innovation, and collaboration. We also maintain a strong partnership with the Confederation of Indian Industry (CII). We are currently expanding our Enterprise Application Services (EAS) within the Technology & Digital solution area, where we are proud to be a diamond-level partner for SAP Labs and globally ranked as the 11th preferred partner for SAP, with an ambitious goal to reach the top 5. About the Role: SAP Analytics Cloud (SAC) Planning Consultant We are seeking a highly skilled and experienced SAP Analytics Cloud (SAC) Planning Consultant to join our team as a Technical Consultant. This pivotal role requires 10+ years of experience in Enterprise Performance Management (EPM) and financial planning solutions. The successful candidate will be instrumental in leading the design, architecture, and implementation of SAC Planning models to drive enterprise-wide forecasting, budgeting, and what-if analysis. The ideal candidate will possess deep expertise in financial planning processes and SAC's advanced capabilities, coupled with strong leadership abilities to guide global stakeholders and junior consultants. Key Responsibilities: Lead end-to-end implementation of SAP Analytics Cloud (SAC) Planning solutions, encompassing design, development, deployment, and support. Design and develop interactive dashboards, stories, and visualizations using SAP Analytics Cloud. Develop robust data models within SAC, utilizing live or imported data connections (SAP HANA, BW, S/4HANA, etc.). Integrate SAC with SAP and non-SAP data sources using connectors, OData services, and APIs. Optimize dashboards for performance, responsiveness, and usability across various devices. Implement planning models, input forms, and predictive features within SAC Planning. Define architecture and best practices for model building, data actions, multi-actions, allocations, predictive forecasting, and value driver trees. Collaborate extensively with finance, supply chain, and sales teams to gather requirements and translate them into scalable planning models. Integrate SAC Planning with SAP S/4HANA, BW/4HANA, HANA views, or other external systems. Drive performance optimization of stories, models, and planning workflows for maximum efficiency. Leverage SACs capabilities such as charts, tables, KPIs, input controls, linked analysis, calculated measures, restricted measures, hierarchies, parameters, and formulas effectively. Connect to other cloud/on-premises data sources via OData, REST APIs, or SAP Cloud Connector. Required Qualifications & Skills: 10+ years of experience in Enterprise Performance Management (EPM), with a strong focus on financial planning solutions. Deep understanding and extensive hands-on experience in SAP Analytics Cloud (SAC) Planning. Strong experience in model building, data actions, multi-actions, predictive forecasting, and value driver trees. Expertise in integrating SAC with SAP S/4HANA, BW/4HANA, HANA views, or other external systems. Strong financial planning knowledge, with proven experience in budgeting, forecasting, and what-if analysis processes. Ability to optimize performance in SAC stories, models, and planning workflows. Strong expertise in dashboard design, data modeling, and SAC scripting. Proficiency in connecting SAC to SAP BW, S/4HANA, or SAP HANA. Clear understanding of business processes in domains such as finance, sales, logistics, HR, etc. Preferred Qualifications: Experience in SAC advanced features, such as predictive forecasting, allocations, and multi-actions. Exposure to SAP BW/4HANA, SAP S/4HANA, and integrating external systems into SAC Planning models. Certification in SAP Analytics Cloud or related EPM tools. Familiarity with tools like SAP Solution Manager, JIRA, and ServiceNow. Soft Skills: Excellent communication skills to effectively manage teams and global stakeholders. Strong analytical skills, with the ability to translate complex requirements into actionable solutions. Ability to collaborate effectively with cross-functional teams and manage expectations in a fast-paced environment. Adaptable, proactive, and solution-oriented mindset with a focus on continuous improvement.

Requirement : Data Architect & Business Intelligence Experience: 5+ Years Location: Gurgaon Preferred: Immediate Joiners Job Summary: We are looking for a Data Architect & Business Intelligence Expert who will be responsible for designing and implementing enterprise-level data architecture solutions. The ideal candidate will have extensive experience in data warehousing, data modeling, and BI frameworks , with a strong focus on Salesforce, Informatica, DBT, IICS, and Snowflake . Key Responsibilities: Design and implement scalable and efficient data architecture solutions for enterprise applications. Develop and maintain robust data models that support business intelligence and analytics. Build data warehouses to support structured and unstructured data storage needs. Optimize data pipelines, ETL processes, and real-time data processing. Work with business stakeholders to define data strategies that support analytics and reporting. Ensure seamless integration of Salesforce, Informatica, DBT, IICS, and Snowflake into the data ecosystem. Establish and enforce data governance, security policies, and best practices . Conduct performance tuning and optimization for large-scale databases and data processing systems. Provide technical leadership and mentorship to development teams. Key Skills & Requirements: Strong experience in data architecture, data warehousing, and data modeling . Hands-on expertise with Salesforce, Informatica, DBT, IICS, and Snowflake . Deep understanding of ETL pipelines, real-time data streaming, and cloud-based data solutions . Experience in designing scalable, high-performance, and secure data environments . Ability to work with big data frameworks and BI tools for reporting and visualization. Strong analytical, problem-solving, and communication skills.

Role Overview: Skyhigh Security is seeking a Principal Data Engineer to design and build scalable Big Data solutions. You'll leverage your deep expertise in Java and Big Data architecture to process massive datasets and shape our security offerings. Extensive experience with distributed systems, cloud platforms, and a passion for data quality, apply now to join our innovative team and make a global impact in cybersecurity! Our Engineering team is driving the future of cloud securitydeveloping one of the worlds largest, most resilient cloud-native data platforms. At Skyhigh Security, were enabling enterprises to protect their data with deep intelligence and dynamic enforcement across hybrid and multi-cloud environments. As we continue to grow, were looking for a Principal Data Engineer to help us scale our platform, integrate advanced AI/ML workflows, and lead the evolution of our secure data infrastructure. Responsibilities: As a Principal Data Engineer, you will be responsible for: Leading the design and implementation of high-scale, cloud-native data pipelines for real-time and batch workloads. Collaborating with product managers, architects, and backend teams to translate business needs into secure and scalable data solutions. Integrating big data frameworks (like Spark, Kafka, Flink) with cloud-native services (AWS/GCP/Azure) to support security analytics use cases. Driving CI/CD best practices, infrastructure automation, and performance tuning across distributed environments. Evaluating and piloting the use of AI/LLM technologies in data pipelines (e.g., anomaly detection, metadata enrichment, automation). Evaluate and integrate LLM-based automation and AI-enhanced observability into engineering workflows. Ensure data security and privacy compliance. Mentoring engineers, ensuring high engineering standards, and promoting technical excellence across teams. What Were Looking For (Minimum Qualifications) 10+ years of experience in big data architecture and engineering, including deep proficiency with the AWS cloud platform. Expertise in distributed systems and frameworks such as Apache Spark, Scala, Kafka, Flink, and Elasticsearch, with experience building production-grade data pipelines. Strong programming skills in Java for building scalable data applications. Hands-on experience with ETL tools and orchestration systems. Solid understanding of data modeling across both relational (PostgreSQL, MySQL) and NoSQL (HBase) databases and performance tuning. What Will Make You Stand Out (Preferred Qualifications) Experience integrating AI/ML or LLM frameworks (e.g., LangChain, LlamaIndex) into data workflows. Experience implementing CI/CD pipelines with Kubernetes, Docker, and Terraform. Knowledge of modern data warehousing (e.g., BigQuery, Snowflake) and data governance principles (GDPR, HIPAA). Strong ability to translate business goals into technical architecture and mentor teams through delivery. Familiarity with visualization tools (Tableau, Power BI) to communicate data insights, even if not a primary responsibility. #LI-MS1

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. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and reports using various tools and technologies. Analyze large datasets to extract insights and trends, and provide recommendations to stakeholders. Design and implement process improvements to increase efficiency and productivity. Provide expert-level support for data analysis and reporting, ensuring high-quality results. Stay up-to-date with industry trends and emerging technologies to continuously improve skills and knowledge. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Proficiency in data modeling, reporting, and visualization tools. Strong communication and collaboration skills, with the ability to work effectively with diverse teams. Ability to manage multiple priorities and deadlines in a fast-paced environment. Strong attention to detail, with a focus on delivering high-quality results.

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. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and reports using various tools and technologies. Analyze large datasets to extract insights and trends, and provide recommendations to stakeholders. Design and implement process improvements to increase efficiency and productivity. Provide expert-level support for data analysis and reporting, ensuring high-quality results. Stay up-to-date with industry trends and emerging technologies to continuously improve skills and knowledge. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Proficiency in data modeling, reporting, and visualization tools. Strong communication and collaboration skills, with the ability to work effectively with diverse teams. Ability to manage multiple priorities and deadlines in a fast-paced environment. Strong attention to detail, with a focus on delivering high-quality results.

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. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and reports using various tools and technologies. Analyze large datasets to extract insights and trends, and provide recommendations to stakeholders. Design and implement process improvements to increase efficiency and productivity. Provide expert-level support for data analysis and reporting, ensuring high-quality results. Stay up-to-date with industry trends and emerging technologies to continuously improve skills and knowledge. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Proficiency in data modeling, reporting, and visualization tools. Strong communication and collaboration skills, with the ability to work effectively with diverse teams. Ability to manage multiple priorities and deadlines in a fast-paced environment. Strong attention to detail, with a focus on delivering high-quality results.

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. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and reports using various tools and technologies. Analyze large datasets to extract insights and trends, and provide recommendations to stakeholders. Design and implement process improvements to increase efficiency and productivity. Provide expert-level support for data analysis and reporting, ensuring high-quality results. Stay up-to-date with industry trends and emerging technologies to continuously improve skills and knowledge. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Proficiency in data modeling, reporting, and visualization tools. Strong communication and collaboration skills, with the ability to work effectively with diverse teams. Ability to manage multiple priorities and deadlines in a fast-paced environment. Strong attention to detail, with a focus on delivering high-quality results.

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. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and reports using various tools and technologies. Analyze large datasets to extract insights and trends, and provide recommendations to stakeholders. Design and implement process improvements to increase efficiency and productivity. Provide expert-level support for data analysis and reporting, ensuring high-quality results. Stay up-to-date with industry trends and emerging technologies to continuously improve skills and knowledge. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Proficiency in data modeling, reporting, and visualization tools. Strong communication and collaboration skills, with the ability to work effectively with diverse teams. Ability to manage multiple priorities and deadlines in a fast-paced environment. Strong attention to detail, with a focus on delivering high-quality results.

Job Title: ETL Lead Job Type: Fulltime Location: Hyderabad / Work from office Experience: 8+ Years No of positions: 1 Job Summary: We are looking for an experienced ETL Lead to manage and deliver enterprise-grade data integration solutions using Azure Data Factory (ADF), SSIS, SQL Querying, Azure SQL, Azure Data Lake, and preferably Azure Databricks. The role includes leading a team, building scalable ETL pipelines, and ensuring data quality and performance through efficient CI/CD practices. Key Responsibilities: Lead a team of engineers and manage ETL project lifecycles. Design, develop, and optimize ETL workflows using ADF and SSIS. Write complex SQL queries and perform performance tuning. Integrate data from varied sources into Azure SQL and Data Lake. Implement CI/CD pipelines for automated deployment and testing. Collaborate with stakeholders to translate business needs into technical solutions. Maintain documentation and enforce best practices. Requirements: 8+ years in ETL development and data integration. Strong expertise in ADF, SSIS, SQL Querying, Azure SQL, Azure Data Lake. Experience with CI/CD tools (e.g., Azure DevOps, Git). Exposure to Azure Databricks is a plus. Solid understanding of data warehousing and data modelling.

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. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and reports using various tools and technologies. Analyze large datasets to extract insights and trends, and provide recommendations to stakeholders. Design and implement process improvements to increase efficiency and productivity. Provide expert-level support for data analysis and reporting, ensuring high-quality results. Stay up-to-date with industry trends and emerging technologies to continuously improve skills and knowledge. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Proficiency in data modeling, reporting, and visualization tools. Strong communication and collaboration skills, with the ability to work effectively with diverse teams. Ability to manage multiple priorities and deadlines in a fast-paced environment. Strong attention to detail, with a focus on delivering high-quality results.

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. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and reports using various tools and technologies. Analyze large datasets to extract insights and trends, and provide recommendations to stakeholders. Design and implement process improvements to increase efficiency and productivity. Provide expert-level support for data analysis and reporting, ensuring high-quality results. Stay up-to-date with industry trends and emerging technologies to continuously improve skills and knowledge. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Proficiency in data modeling, reporting, and visualization tools. Strong communication and collaboration skills, with the ability to work effectively with diverse teams. Ability to manage multiple priorities and deadlines in a fast-paced environment. Strong attention to detail, with a focus on delivering high-quality results.

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. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and reports using various tools and technologies. Analyze large datasets to extract insights and trends, and provide recommendations to stakeholders. Design and implement process improvements to increase efficiency and productivity. Provide expert-level support for data analysis and reporting, ensuring high-quality results. Stay up-to-date with industry trends and emerging technologies to continuously improve skills and knowledge. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Proficiency in data modeling, reporting, and visualization tools. Strong communication and collaboration skills, with the ability to work effectively with diverse teams. Ability to manage multiple priorities and deadlines in a fast-paced environment. Strong attention to detail, with a focus on delivering high-quality results.

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. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and reports using various tools and technologies. Analyze large datasets to extract insights and trends, and provide recommendations to stakeholders. Design and implement process improvements to increase efficiency and productivity. Provide expert-level support for data analysis and reporting, ensuring high-quality results. Stay up-to-date with industry trends and emerging technologies to continuously improve skills and knowledge. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Proficiency in data modeling, reporting, and visualization tools. Strong communication and collaboration skills, with the ability to work effectively with diverse teams. Ability to manage multiple priorities and deadlines in a fast-paced environment. Strong attention to detail, with a focus on delivering high-quality results.

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. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and reports using various tools and technologies. Analyze large datasets to extract insights and trends, and provide recommendations to stakeholders. Design and implement process improvements to increase efficiency and productivity. Provide expert-level support for data analysis and reporting, ensuring high-quality results. Stay up-to-date with industry trends and emerging technologies to continuously improve skills and knowledge. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Proficiency in data modeling, reporting, and visualization tools. Strong communication and collaboration skills, with the ability to work effectively with diverse teams. Ability to manage multiple priorities and deadlines in a fast-paced environment. Strong attention to detail, with a focus on delivering high-quality results.

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. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and reports using various tools and technologies. Analyze large datasets to extract insights and trends, and provide recommendations to stakeholders. Design and implement process improvements to increase efficiency and productivity. Provide expert-level support for data analysis and reporting, ensuring high-quality results. Stay up-to-date with industry trends and emerging technologies to continuously improve skills and knowledge. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Proficiency in data modeling, reporting, and visualization tools. Strong communication and collaboration skills, with the ability to work effectively with diverse teams. Ability to manage multiple priorities and deadlines in a fast-paced environment. Strong attention to detail, with a focus on delivering high-quality results.