537 Etl Processes Jobs

Responsibilities: Design, develop, and maintain ETL jobs using SAP Data Services (BODS) to extract, transform, and load data from SAP and non-SAP systems. Perform data profiling, cleansing, and validation to ensure data accuracy and consistency. Support data migration and data integration projects involving SAP ECC, S/4HANA, and cloud-based targets (e.g., AWS Redshift, S3). Collaborate with functional teams and business stakeholders to gather data requirements and translate them into technical solutions. Monitor, troubleshoot, and optimize BODS job performance, ensuring timely and accurate data loads. Participate in unit testing, integration testing, and UAT support for ETL solutions. Create and maintain comprehensive documentation of ETL processes, data flows, and error handling routines. Work closely with senior consultants and architects for design reviews and best practices implementation. Skills & Qualifications: 3-6 years of hands-on experience in SAP Data Services (BODS) development and job management. Solid understanding of ETL processes, data warehousing concepts, and data quality management. Strong SQL skills with experience in database tuning (Oracle, SQL Server, or HANA). Experience in extracting data from SAP modules (ECC/S/4HANA) using IDOCs, RFCs, or extractors. Basic understanding or exposure to SAP BW/BW/4HANA data models, InfoProviders, and data flows (Good to Have). Familiarity with job scheduling tools (Control-M, AutoSys) is desirable. Exposure to cloud environments (AWS S3, Redshift, Azure) is an advantage. Strong analytical, problem-solving, and communication skills. Bachelor s degree in Computer Science, Information Systems, Engineering, or a related field. Business Skills Excellent oral and written communication skills, the ability to communicate with others clearly and concisely. Experience with Microsoft Office suite including Word, Excel, PowerPoint. Understands business processes for focus areas or modules. Ability to do research and perform detailed tasks. Strong analytical skills. Consulting Skills Aptitude for working in a team environment; problem-solving skills, creative thinking, communicating clearly and empathetically, strong time management, and ability to collaborate with all levels of staff. Learn/understand consulting soft skills necessary on engagements, as well as with team collaborative initiatives. Strong presentation skills. General Skills/Tasks Understands client s business and technical environment. Assists the project team efforts in documenting the developing solutions for client situations. Assists team effort in preparing and developing solution documentation for projects. Completes assignments within the budget, meets project deadlines, makes and keeps sensible commitments to the team. Meets billing efficiency targets, complies with all administrative responsibilities in a timely and effective manner. Learn to understand and adhere to project and organization guidelines with all administrative responsibilities in a timely and effective manner. Keeps manager apprised of workload direction and concerns. Learn to analyse and develop reliable solutions that produce efficient and effective outcomes. Develop a deeper understanding of SAP methodologies, tools, standards, and techniques. Assists with project documentation, and demonstrates effective organizational skills, with minimal supervision. Adopt learning quality standards and correctly prioritizes own activities following the project plan. Provides project team and leaders with updates on the progress and difficulties encountered, and provides value-added insight and understanding, for future program development.

Responsibilities Designing and implementing SAP HANA solutions based on business requirements. Optimizing existing HANA models for performance and efficiency. Collaborating with cross-functional teams to gather requirements and deliver solutions. Providing technical support and troubleshooting for SAP HANA applications. Developing and maintaining documentation for SAP HANA architecture and processes. Conducting performance tuning and optimization of HANA databases. Skills and Qualifications 4-12 years of experience in SAP HANA development and implementation. Strong understanding of SAP HANA architecture and data modeling concepts. Experience with SQL and SQLScript for data manipulation and reporting. Knowledge of ETL processes and tools related to SAP HANA. Familiarity with SAP BW and SAP BusinessObjects is a plus. Strong problem-solving skills and ability to work under pressure. Excellent communication and interpersonal skills.

You are an experienced Senior Data Analyst with a minimum of 7-8 years of experience in data analysis roles, specifically with significant exposure to Snowflake. Your primary responsibilities will include querying and analyzing data stored in Snowflake databases to derive meaningful insights for supporting business decision-making. You will also be responsible for developing and maintaining data models and schema designs within Snowflake to facilitate efficient data analysis. In addition, you will create and maintain data visualizations and dashboards using tools like Tableau or Power BI, leveraging Snowflake as the underlying data source. Collaboration with business stakeholders to understand data requirements and translate them into analytical solutions is a key aspect of this role. You will also perform data validation, quality assurance, and data cleansing activities within Snowflake databases. Furthermore, you will support the implementation and enhancement of ETL processes and data pipelines to ensure data accuracy and completeness. A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field is required. Certifications in data analytics, data visualization, or cloud platforms are desirable but not mandatory. Your primary skills should encompass a strong proficiency in querying and analyzing data using Snowflake SQL and DBT. You must have a solid understanding of data modeling and schema design within Snowflake environments. Experience in data visualization and reporting tools such as Power BI, Tableau, or Looker is essential for analyzing and presenting insights derived from Snowflake. Familiarity with ETL processes and data pipeline development is also crucial, along with a proven track record of using Snowflake for complex data analysis and reporting tasks. Strong problem-solving and analytical skills, including the ability to derive actionable insights from data, are key requirements. Experience with programming languages like Python or R for data manipulation and analysis is a plus. Secondary skills that would be beneficial for this role include knowledge of cloud platforms and services such as AWS, Azure, or GCP. Excellent communication and presentation skills, strong attention to detail, and a proactive approach to problem-solving are also important. The ability to work collaboratively in a team environment is essential for success in this position. This role is for a Senior Data Analyst specializing in Snowflake, based in either Trivandrum or Bangalore. The working hours are 8 hours per day from 12:00 PM to 9:00 PM, with a few hours of overlap during the EST time zone for mandatory meetings. The close date for applications is 18-04-2025.,

As a Data Engineer at Bridgnext, you will be responsible for working on internal and customer-based projects. Your primary focus will be on ensuring the quality of the code and providing optimal solutions to meet client requirements while anticipating their future needs based on market understanding. Your experience with Hadoop projects, including data processing and representation using various AWS services, will be valuable in this role. You should have at least 4 years of experience in data engineering, with a specialization in big data technologies such as Spark and Kafka. A minimum of 2 years of hands-on experience with Databricks is essential for this position. A strong understanding of data architecture, ETL processes, and data warehousing is necessary, along with proficiency in programming languages like Python or Java. Experience with cloud platforms such as AWS, Azure, and GCP, as well as familiarity with big data tools, will be beneficial. Excellent communication, interpersonal, and leadership skills are required to effectively collaborate with team members and clients. You should be able to work in a fast-paced environment, managing multiple priorities efficiently. In addition to technical skills, you should possess solid written, verbal, and presentation communication abilities. Being a strong team player while also capable of working independently is crucial. Maintaining composure in various situations, collaborative nature, high standards of professionalism, and consistently delivering high-quality results are expected from you. Your self-sufficiency and openness to creative solutions will be key in addressing any challenges that may arise in the role.,

You are a strategic thinker passionate about driving solutions in BI and Analytics (Alteryx, SQL, Tableau), and you have found the right team. As a Business Intelligence Developer Associate within our Asset and Wealth Management Finance Transformation and Analytics team, you will be tasked with defining, refining, and achieving set objectives for our firm on a daily basis. You will be responsible for designing the technical and information architecture for the MIS (DataMarts) and Reporting Environments. Additionally, you will support the MIS team in query optimization and deployment of BI technologies, including but not limited to Alteryx, Tableau, MS SQL Server (T-SQL programming), SSIS, and SSRS. You will scope, prioritize, and coordinate activities with the product owners, design and develop complex queries for data inputs, and work on agile improvements by sharing experiences and knowledge with the team. Furthermore, you will advocate and steer the team to implement CI/CD (DevOps) workflow and design and develop complex dashboards from large and/or different data sets. The ideal candidate for this position will be highly skilled in reporting methodologies, data manipulation & analytics tools, and have expertise in the visualization and presentation of enterprise data. Required qualifications, capabilities, and skills include a Bachelor's Degree in MIS, Computer Science, or Engineering. A different field of study with significant professional experience in BI Development is also acceptable. Strong DW-BI skills are required with a minimum of 7 years of experience in Data warehouse and visualization. You should have strong work experience in data wrangling tools like Alteryx and working proficiency in Data Visualizations Tools, including but not limited to Alteryx, Tableau, MS SQL Server (SSIS, SSRS). Working knowledge in querying data from databases such as MS SQL Server, Snowflake, Databricks, etc., is essential. You must have a strong knowledge of designing database architecture, building scalable visualization solutions, and the ability to write complicated yet efficient SQL queries and stored procedures. Experience in building end-to-end ETL processes, working with multiple data sources, handling large volumes of data, and converting data into information is required. Experience in the end-to-end implementation of Business Intelligence (BI) reports & dashboards, as well as good communication and analytical skills, are also necessary. Preferred qualifications, capabilities, and skills include exposure to Data Science and allied technologies like Python, R, etc. Exposure to automation tools like UIPath, Blue Prism, Power Automate, etc., working knowledge of CI/CD workflows and automated deployment, and experience with scheduling tools like Control M are considered advantageous.,

As a Business Intelligence Specialist at Adobe, you will have the opportunity to work closely with Business analysts to understand design specifications and translate requirements into technical models, dashboards, reports, and applications. Your role will involve collaborating with business users to cater to their ad-hoc requests and deliver scalable solutions on MSBI platforms. You will be responsible for system integration of data sources, creating technical documents, and ensuring data and code quality through standard methodologies and processes. To succeed in this role, you should have at least 3 years of experience in SSIS, SSAS, Data Warehousing, Data Analysis, and Business Intelligence. You should also possess advanced proficiency in Data Warehousing tools and technologies, including databases, SSIS, and SSAS, along with in-depth understanding of Data Warehousing principles and Dimensional Modeling techniques. Hands-on experience in ETL processes, database optimization, and query tuning is essential. Familiarity with cloud platforms such as Azure and AWS, as well as Python or PySpark and Databricks, would be beneficial. Experience in creating interactive dashboards using Power BI is an added advantage. In addition to technical skills, strong problem-solving and analytical abilities, quick learning capabilities, and excellent communication and presentation skills are important for this role. A Bachelor's degree in Computer Science, Information Technology, or an equivalent technical discipline is required. At Adobe, we value a free and open marketplace for all employees and provide internal growth opportunities for your career development. We encourage creativity, curiosity, and continuous learning as part of your career journey. To prepare for internal opportunities, update your Resume/CV and Workday profile, explore the Internal Mobility page on Inside Adobe, and check out tips to help you prep for interviews. The Talent Team will reach out to you within 2 weeks of applying for a role via Workday, and if you move forward in the interview process, inform your manager for support in your career growth. Join Adobe to work in an exceptional environment with colleagues committed to helping each other grow through ongoing feedback. If you are looking to make an impact and grow your career, Adobe is the place for you. Discover more about employee experiences on the Adobe Life blog and explore the meaningful benefits we offer. For any accommodation needs during the application process, please contact accommodations@adobe.com.,

Be a part of a dynamic team and excel in an environment that values diversity and creativity. Continue to sharpen your skills and ambition while pushing the industry forward. As a Data Architect at JPMorgan Chase within the Employee Platforms, you serve as a seasoned member of a team to develop high-quality data architecture solutions for various software applications and platforms. By incorporating leading best practices and collaborating with teams of architects, you are an integral part of carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. In this role, you will be responsible for designing and implementing data models that support our organization's data strategy. You will work closely with Data Product Managers, Engineering teams, and Data Governance teams to ensure the delivery of high-quality data products that meet business needs and adhere to best practices. Job responsibilities include: - Executing data architecture solutions and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions and break down problems. - Collaborating with Data Product Managers to understand business requirements and translate them into data modeling specifications. Conducting interviews and workshops with stakeholders to gather detailed data requirements. - Creating and maintaining data dictionaries, entity-relationship diagrams, and other documentation to support data models. - Producing secure and high-quality production code and maintaining algorithms that run synchronously with appropriate systems. - Evaluating data architecture designs and providing feedback on recommendations. - Representing the team in architectural governance bodies. - Leading the data architecture team in evaluating new technologies to modernize the architecture using existing data standards and frameworks. - Gathering, analyzing, synthesizing, and developing visualizations and reporting from large, diverse data sets in service of continuous improvement of data frameworks, applications, and systems. - Proactively identifying hidden problems and patterns in data and using these insights to drive improvements to coding hygiene and system architecture. - Contributing to data architecture communities of practice and events that explore new and emerging technologies. Required qualifications, capabilities, and skills: - Formal training or certification in Data Architecture and 3+ years of applied experience. - Hands-on experience in data platforms, cloud services (e.g., AWS, Azure, or Google Cloud), and big data technologies. - Strong understanding of database management systems, data warehousing, and ETL processes. - Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. - Knowledge of data governance principles and best practices. - Ability to evaluate current technologies to recommend ways to optimize data architecture. - Hands-on practical experience in system design, application development, testing, and operational stability. - Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming and database querying languages. - Overall knowledge of the Software Development Life Cycle. - Solid understanding of agile methodologies such as continuous integration and delivery, application resiliency, and security. - Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills: - Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud). - Familiarity with big data technologies (e.g., Hadoop, Spark). - Certification in data modeling or data architecture.,

You will be responsible for designing, developing, and optimizing interactive dashboards using Looker and LookML. This includes building LookML models, explores, and derived tables to meet business intelligence needs. You will create efficient data models and queries using BigQuery and collaborate with data engineers, analysts, and business teams to translate requirements into actionable insights. Implementing security and governance policies within Looker to ensure data integrity and controlled access will also be part of your role. Additionally, you will leverage GCP services to build scalable and reliable data solutions and optimize dashboard performance using best practices in aggregation and visualization. Maintaining, auditing, and enhancing existing Looker dashboards, reports, and LookML assets, as well as documenting dashboards, data sources, and processes for scalability and ease of maintenance, are critical tasks. You will also support legacy implementations and facilitate smooth transitions, build new dashboards and visualizations based on evolving business requirements, and work closely with data engineering teams to define and validate data pipelines for timely and accurate data delivery. To qualify for this role, you should have at least 6 years of experience in data visualization and BI, particularly using Looker and LookML. Strong SQL skills with experience optimizing queries for BigQuery are required, along with proficiency in Google Cloud Platform (GCP) and related data services. An in-depth understanding of data modeling, ETL processes, and database structures is essential, as well as familiarity with data governance, security, and role-based access in Looker. Experience with BI lifecycle management, strong communication and collaboration skills, good storytelling and user-centric design abilities, and exposure to the media industry (OTT, DTH, Web) handling large datasets are also necessary. Knowledge of other BI tools like Tableau, Power BI, or Data Studio is a plus, and experience with Python or other scripting languages for automation and data transformation is desirable. Exposure to machine learning or predictive analytics is considered an advantage.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As a T24 BA_Data Migration - Senior Manager, you will lead the end-to-end analysis and execution of data migration initiatives across complex enterprise systems. This role demands deep expertise in data migration strategies, strong analytical capabilities, and a proven ability to work with cross-functional teams, including IT, business stakeholders, and data architects. You will be responsible for defining migration requirements, leading data mapping and reconciliation efforts, ensuring data integrity, and supporting transformation programs from legacy systems to modern platforms. As a senior leader, you will also play a critical role in stakeholder engagement, risk mitigation, and aligning data migration efforts with broader business objectives. The ideal candidate should be well versed in Technical aspects of the product and experienced in Data Migration activities. They should have a good understanding of the T24 architecture, administration, configuration, and data structure. Additionally, the candidate should have design and development experience in Infobasic, Core Java, EJB, and J2EE Enterprise, as well as working experience and/or knowledge of INFORMATICA. In-depth experience in End-to-End Migration tasks, right from Migration strategy, ETL process, and data reconciliation is required. Experience in relational or hierarchical databases including Oracle, DB2, Postgres, MySQL, and MSSQL is a must. Other mandatory requirements include the willingness to work out of the client location in Chennai for 5 days a week. The candidate should possess an MBA/MCA/BE/B.Tech or equivalent with a sound industry experience of 9 to 12 years. Your client responsibilities will involve working as a team lead in one or more T24 projects, interface and communicate with onsite coordinators, completion of assigned tasks on time, regular status reporting to the lead and manager, and interface with customer representatives as needed. You should be ready to travel to customer locations on a need basis. Your people responsibilities will include building a quality culture, managing the performance management for direct reportees, fostering teamwork, leading by example, training and mentoring project resources, and participating in the organization-wide people initiatives. Preferred skills include database administration, performance tuning, and prior client-facing experience. EY exists to build a better working world, helping to create long-term value for clients, people, and society, and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a PowerBI Developer, you will be responsible for developing and maintaining scalable data pipelines using Python and PySpark. You will collaborate with data engineers and data scientists to fulfill data processing needs and optimize existing PySpark applications for performance improvements. Writing clean, efficient, and well-documented code following best practices is a crucial part of your role. Additionally, you will participate in design and code reviews, develop and implement ETL processes, and ensure data integrity and quality throughout the data lifecycle. Staying current with the latest industry trends and technologies in big data and cloud computing is essential. The ideal candidate should have a minimum of 6 years of experience in designing and developing advanced Power BI reports and dashboards. Working experience on data modeling, DAX calculations, developing and maintaining data models, creating reports and dashboards, analyzing and visualizing data, ensuring data governance and compliance, as well as troubleshooting and optimizing Power BI solutions. Preferred skills for this role include strong proficiency in Power BI Desktop, DAX, Power Query, and data modeling. Experience in analyzing data, creating visualizations, building interactive dashboards, connecting to various data sources, and transforming data is highly valued. Excellent communication and collaboration skills are necessary to work effectively with stakeholders. Familiarity with SQL, data warehousing concepts, and experience with UI/UX development would be beneficial.,

The Data Science and Engineering Specialist role requires 7-12 years of total experience and is based in Chennai on a permanent hire basis. As a Data Science and Engineering Specialist, you will utilize data science techniques and engineering principles to develop and optimize data-driven solutions. Your role will involve combining analytical skills with technical expertise to create innovative models and systems that drive business insights and efficiencies. Your main responsibilities will include developing and implementing data models and algorithms, designing and optimizing data pipelines and workflows, collaborating with cross-functional teams to understand data needs, analyzing large datasets for actionable insights, creating and maintaining documentation for data processes, ensuring data quality and integrity, developing and deploying machine learning models, performing data preprocessing and feature engineering, monitoring and improving data system performance, and staying updated on the latest data science and engineering trends. To succeed in this role, you should have proficiency in data science tools and languages such as Python and R, a strong understanding of machine learning algorithms, expertise in data engineering and ETL processes, excellent problem-solving and analytical skills, the ability to work with large and complex datasets, strong communication and collaboration abilities, knowledge of cloud platforms and big data technologies, experience with data visualization tools, an understanding of software development principles, and the ability to translate business requirements into technical solutions. If you are interested in this opportunity, please share the following details to akshay.ganar@atos.net: - Total IT Experience - Experience in Data Science - Experience in Python, R programming - Current CTC - Expected CTC - Notice Period/LWD - Offer if any - Current Location - Preferred Location Once your profile is shortlisted, you will be contacted for further discussions.,

As a Global Data Steward at Axalta's facility in Gurugram, Haryana, you will play a crucial role in ensuring the smooth operation of business processes by managing master data objects such as creation, update, obsolescence, reactivation, and accurate data maintenance in the system. Your responsibilities will include collaborating with business teams to clarify requests, maintaining data quality, testing data creations/updates, and mentoring team members. You will be required to work on daily business requests within defined SLA timelines and engage in additional tasks/projects that may involve multiple team interactions. To excel in this role, you should have hands-on experience in master data creation and maintenance, particularly in areas such as Material, Vendor, Pricing, Customer, PIRs, Source List, and BOM data. Proficiency in SAP toolsets related to data management, data extraction programs, ETL processes, data quality maintenance, and cleansing is essential. Knowledge of Request Management tools like SNOW and Remedy, as well as understanding key database concepts and data models, will be beneficial. An ideal candidate for this position would possess professional experience of 5-6 years, with expertise in Data Management Processes, SAP modules (MM/PP or OTC), and IT tools. Strong communication skills, stakeholder alignment, and the ability to interact with international colleagues are crucial. Additionally, you should demonstrate a strong ownership focus, drive to excel, and the ability to resolve conflicts, collaborate, and work effectively as a team player. Flexibility to work in shifts is also required for this role. Axalta, a leading company in the coatings industry, operates in two segments - Performance Coatings and Mobility Coatings, serving various end markets across the globe. With a commitment to sustainability and carbon neutrality, Axalta aims to deliver innovative solutions that protect and enhance products while contributing to a more sustainable future. Join us in our mission to optimize businesses and achieve common goals across diverse geographies and industries.,

About Invenio Invenio is the largest independent global SAP solutions provider serving the public sector, as well as offering specialist skills in media and entertainment. We bring deep expertise combined with advanced technologies to enable organizations to modernize so they can operate at the speed of today's business. We understand the complexities of international businesses and public sector organizations, working with stakeholders to drive change and create agile organizations of tomorrow using the technologies of today. Learn more at www.invenio-solutions.com. Role - SAP BO BW Senior Consultant Location - Delhi/Mumbai/Pune/Noida/Hyderabad Responsibilities Document all technical and functional specifications for implemented solutions. Proficient in BW/B4H & ABAP/CDS with experience in the areas of Analysis, Design, Development. Collaborate with clients to gather business requirements and translate them into BI/BW technical solutions. Interact with key stakeholders/support members in different areas of BW. Provide technical solutions to fulfill business requests using SAP's BW. Design, develop, configure, migrate, test and implement SAP BW 7.x data warehousing solutions using SAP BW, BW/4HANA, and related tools. Ensure data accuracy, integrity, and consistency in the SAP landscape. Optimize performance of queries, reports, and data models for better efficiency. Manage delivery of services against agreed SLAs as well as manage escalations both internally and externally. Understand client business requirements, processes, objectives, and possess the ability to develop necessary product adjustments to fulfill clients" needs. Develop process chains to load and monitor data loading. Provide technical guidance and mentorship to junior consultants and team members. Design and build data flows including Info Objects, Advanced Datastore Objects (ADSO), Composite Providers, Transformations, DTPs, and Data Sources. Conduct requirement gathering sessions and provide a design thinking approach. Work closely with clients to understand their business needs and provide tailored solutions. Build and maintain strong relationships with key stakeholders, ensuring satisfaction and trust. Manage and mentor a team of consultants, ensuring high-quality delivery and skill development. Facilitate knowledge sharing and promote the adoption of new tools and methodologies within the team. Act as an escalation point for technical and functional challenges. Well experienced in handling P1 and P2 situations. Skills & Qualifications Bachelor's Degree in IT or equivalent 6 to 8 years of experience in one or more SAP modules. At least four full life cycle SAP BW implementations and at least two with BI 7.x experience (from Blueprint/Explore through Go-Live). Ability to use Service Marketplace to create tickets, research notes, review release notes and solution roadmaps as well as provide guidance to customers on release strategy. Exposure to other SAP modules and integration points. Strong understanding of SAP BW architecture, including BW on HANA, BW/4HANA, and SAP S/4HANA integration. Knowledge of SAP ECC, S/4HANA, and other SAP modules. Proficiency in SAP BI tools such as SAP BusinessObjects, SAP Lumira, and SAP Analytics Cloud. Experience with data modeling, ETL processes, and SQL. Certifications in SAP Certified Application Associate - SAP Business Warehouse (BW), SAP Certified Application Associate - SAP HANA. Should be well-versed to get the data through different extraction methods. Flexible to work in shifts based on the project requirement. Strong skills in SAP BI/BW, BW/4HANA, and BW on HANA development and production support experience. Excellent communication, client management, and stakeholder engagement abilities. Extensively worked on BW user exits, start routines, end routines with expertise in ABAP/4. Extensively worked on standard data source enhancements and info provider enhancements. In-depth knowledge and understanding of SAP BI Tools such as Web Intelligence, Analysis for Office, Query Designer. Has end-to-end experience: can independently investigate issues from Data Source/Extractor to BI Report level problem-solving skills. Has end-to-end Development experience: can build extractors, model within SAP BW, and develop Reporting solutions, including troubleshooting development issues. Business Skills Excellent oral and written communication skills, the ability to communicate with others clearly and concisely. Understands business processes for focus areas or modules. Ability to do research and perform detailed tasks. Strong analytical skills. Understands business functionality related to SAP module/application as well as can identify and understand touchpoints between modules. Understands how to solve detailed SAP problems. Understands and can explain best business practices, especially those that SAP enables. Consulting Skills Aptitude for working in a team environment; problem-solving skills, creative thinking, communicating clearly and empathetically, strong time management, and the ability to collaborate with all levels of staff. Learn/understand consulting soft skills necessary on engagements, as well as with team collaborative initiatives. Ability to interpret requirements and apply SAP best practices. Strong presentation skills. General Skills/Tasks Understands clients" business and technical environment. Assists the project team efforts in documenting the developing solutions for client situations. Assists team effort in preparing and developing solution documentation for projects. Learn to understand and adhere to project and organization guidelines with all administrative responsibilities in a timely and effective manner. Keeps the manager apprised of workload direction and concerns. Learn to analyze and develop reliable solutions that produce efficient and effective outcomes. Develop a deeper understanding of SAP methodologies, tools, standards, and techniques. Assists with project documentation and demonstrates effective organizational skills, with minimal supervision. Provides project team and leaders with updates on the progress and difficulties encountered, and provides value-added insight and understanding, for future program development. Demonstrate the ability to accomplish project assignments resulting in quality service.,

Job Description Role: Senior Data Analytics Consultant Summary: The Data Analytics Consultant is a high-impact role requiring a convergence of deep analytical expertise, advanced technological adeptness, and exceptional collaborative capabilities. This professional will define and drive data strategies that optimize business outcomes through innovative analytics and predictive modeling. Proficient in SQL, Power BI, Alteryx, the candidate will also be familiar with data modelling, cloud data solutions and data quality management practices. Leadership and stakeholder management skills are pivotal, ensuring that data insights translate into actionable business strategies across the organization. The ideal candidate will possess refined problem-solving skills, advanced technical capabilities, and a track record of strategic impact in data analytics. Work Experience 3+ years of total experience in data analytics, with at least 2 years of extensive hands-on experience in SQL, Alteryx, PowerBI and relational database concepts Expertise in Power BI, including Power Query, Data Modeling, and Visualization. In-depth knowledge of DAX for creating complex calculations, measures, and custom columns. Proven experience with Row Level Security (RLS) in Power BI to control data access based on user roles. Utilize Alteryx to design, develop, and maintain robust data workflows that automate data extraction, transformation, and loading (ETL) processes. Ensure data quality and integrity by implementing data validation and cleansing techniques Must have proficiency in the core concepts of data modeling, including understanding entities, relationships, keys, normalization, and various modeling techniques (e.g., ER diagrams, Star Schema, Snowflake Schema). Basic understanding of cloud technologies Power platform knowledge is an added advantage Programming background is an added advantage Responsibilities Responsibilities Spearhead data analytics initiatives, utilizing advanced data visualization and statistical techniques to unearth insights and streamline opportunities for growth. Architect and ensure precision in data design, metrics, and analytics distributed to interdisciplinary stakeholders. Implementing normalization techniques to streamline data into efficient, non-redundant structures that reduce anomalies. Maintain and customize dashboards and workflows using Power BI, Alteryx Integrate closely with Business Development, Operations, and other teams to have a robust understanding of processes, challenges, and customer needs. Define and visualize key performance indicators (KPIs) to measure and articulate project success and stakeholder engagement. Demonstrated ability to lead projects, influence teams, and mentor junior analysts Qualifications Education: Bachelor&aposs degree (BE/BTECH) in Computer Science, Engineering, Data Science, or related fields. Highly Preferable: Masters degree in data Analytics, Data Science, Statistics, or any relevant certification(s) such as CAP, DASCA, Microsoft Certified: Data Analyst Associate, or equivalent. #KGS Show more Show less

About the Company: Relay Human Cloud is a young & dynamic company that helps some of the top US-based companies to expand their team internationally. Relay is a truly global company having its operations in US, India, Honduras, and Mexico (We are also adding a few more countries soon). Our core focus is to enable companies to connect with the best international talent. Relay helps its clients in majorly following areas: Accounting & Finance, Administration, Operations, Space Planning, Leasing, Data Science, Data Search, Machine Learning and Artificial Intelligence etc. Relay India operates from Ahmedabad and Vadodara offices. The principals and founders of Relay Human Cloud have been focused on delivering high-quality operations in cutting-edge companies for their entire careers. Job Overview: We are looking for a talented and dedicated Yardi Report Developer with strong experience in YSR reporting to work directly with our US-based clients. The Yardi Report Developer will be responsible for designing, developing, and maintaining custom reports and data visualization solutions within the Yardi property management software. This role is critical to our client&aposs ability to provide accurate and actionable insights to support decision-making and enhance their property management operations. Key Responsibilities: Develop and maintain custom YSR reports within the Yardi Voyager property management software. Collaborate with business stakeholders to understand their reporting and data visualization needs. Design and create dynamic and interactive reports and dashboards that provide valuable insights. Troubleshoot and resolve any issues related to report performance or data accuracy. Create and maintain documentation for YSR reports and processes for future reference. Stay up to date with Yardi software updates and new features and implement them as needed. Assist in data extraction, transformation, and loading (ETL) processes to support reporting requirements. Perform Ad-hoc data analysis and reporting tasks as requested by management. Provide training and support to end-users on YSR reporting capabilities and best practices. Qualifications: Proficient in English, as you will be working directly with US-based clients. Bachelor&aposs degree in computer science, Information Technology, or a related field (or equivalent work experience) Experienced in Yardi property management software for 23 years, with expertise in YSR reporting. Strong knowledge of SQL, data modeling, and data warehousing concepts Proficiency in report development tools and technologies, such as Yardi Voyager, YSR, SSRS, Power BI, or similar Excellent problem-solving and analytical skills Detail-oriented with the ability to ensure data accuracy and report quality. Self-motivated and able to work independently or as part of a team. Preferred Qualifications: Experience with real estate or property management industry Knowledge of ETL tools and processes Experience with data visualization best practices Show more Show less

As a Solution Architect at DHL Group, a global logistics provider with a workforce of around 600,000 employees spanning over 220 countries and territories, you will play a pivotal role in designing, implementing, and optimizing analytics, data warehousing, and reporting solutions. Your expertise will be essential in ensuring that all solutions meet business requirements, adhere to performance benchmarks, and align with industry standards. Your responsibilities will include leading the design and implementation of analytics and data warehousing solutions, optimizing data pipelines and integrations for accurate and timely data analysis and reporting, conducting data modeling and design to enhance data quality and consistency, collaborating with project teams to define business requirements, and providing technical guidance to development teams, including coding and solution design. Additionally, you will monitor the performance of BI systems and propose improvements to enhance effectiveness while collaborating with cross-functional teams to drive innovation and enhance the organization's data capabilities. To excel in this role, you should have a minimum of 6 years of experience in IT, with at least 4 years in a solution architect role focused on analytics and data warehousing. Proficiency in data modeling, ETL processes, and analytics tools such as Power BI and Snowflake is required. Experience with cloud platforms like AWS and Azure, as well as familiarity with microservices architecture, will be beneficial. Strong analytical and problem-solving skills, excellent verbal and written communication skills, and the ability to explain complex technical concepts to non-technical stakeholders are essential. Experience working in Agile/Scrum environments with a collaborative approach to project delivery is also preferred. At DHL Group, we offer you the opportunity to join a leading global company, be part of a dynamic team, enjoy flexible working hours and remote work options, thrive in an international environment, and benefit from an attractive compensation and benefits package. Join us, make a positive impact, and build an amazing career with DHL Group.,

NTT DATA is looking for a talented and passionate individual to join as a Salesforce Data Cloud Specialist in Hyderabad, Telangana, India. As a Salesforce Data Cloud Specialist, you will be responsible for managing and optimizing customer data platforms within Salesforce ecosystems. You will work closely with stakeholders to ensure seamless integration and orchestration of data, aligning data models with business requirements to provide actionable insights. Key Responsibilities: - Implement and configure Salesforce Data Cloud to effectively unify and segment customer data. - Design and manage data models that seamlessly integrate with Salesforce platforms, ensuring high-quality data ingestion and transformation. - Collaborate with stakeholders to understand business requirements and translate them into technical solutions. - Build and manage data pipelines to aggregate and cleanse data from multiple sources. - Develop rules for data normalization, identity resolution, and deduplication. - Maintain data compliance, security, and privacy standards. - Collaborate with marketing, sales, and analytics teams to leverage Data Cloud capabilities for improved customer engagement and personalization. - Troubleshoot and optimize Data Cloud performance to ensure timely issue resolution. Required Skills and Qualifications: - Hands-on experience with Salesforce Data Cloud (formerly known as Customer Data Platform). - Proficiency in data modeling, ETL processes, and data integration within Salesforce ecosystems. - Knowledge of Salesforce CRM, Marketing Cloud, and related modules. - Experience with API integrations and data connectors. - Familiarity with identity resolution and customer segmentation techniques. - Strong understanding of data governance, privacy, and compliance requirements. - Analytical mindset with the ability to derive actionable insights from data. - Excellent communication and collaboration skills. Preferred Skills: - Salesforce certifications such as Salesforce Certified Data Cloud Specialist or related certifications. - Hands-on experience with SQL, Python, or other data manipulation tools. - Familiarity with AI/ML models for predictive analytics in customer data. Educational Qualifications: - Bachelors or Masters degree in Computer Science, Information Systems, or a related field. If you are looking to be part of a dynamic and innovative organization, apply now to join NTT DATA and contribute to our mission of helping clients innovate, optimize, and transform for long-term success.,

The role supports the integration, transformation, and delivery of data using tools within the Microsoft Fabric platform. You will collaborate with the data engineering team to provide Data and Insights solutions, ensuring the delivery of high-quality data to enable analytics capabilities within the organization. Your key responsibilities will include assisting in the development and maintenance of ETL pipelines using Azure Data Factory and other Fabric tools. You will work closely with senior engineers and analysts to gather requirements, develop prototypes, and support data integration from various sources. Additionally, you will play a role in developing and maintaining Data Warehouse schemas, contributing to documentation, and participating in testing efforts to uphold data reliability. It is crucial to learn and adhere to data standards and governance practices as directed by the team. Essential skills and experience for this role include a solid understanding of data engineering concepts and data structures, familiarity with Microsoft data tools like Azure Data Factory, OneLake, or Synapse, and knowledge of ETL processes and data pipelines. The ability to work collaboratively in an Agile/Kanban team environment is essential. Possessing a Microsoft certified Fabric DP-600 or DP-700 certification, along with any other relevant Azure Data certification, is advantageous. Desirable skills and experience include familiarity with Medallion Architecture principles, exposure to MS Purview or other data governance tools, understanding of data warehousing and reporting concepts, and an interest or background in retail data domains.,

You will be joining as an Oracle PL/SQL Developer with 2 to 4 years of experience, based in Hyderabad. Your primary responsibilities will include working with Oracle 11g/Oracle 12c, and leveraging advanced PL/SQL skills for package, procedures, functions, triggers, and batch coding. You should also have a strong grasp of performance tuning techniques using SQL Trace, Explain Plan, Indexing, and Hints. To excel in this role, you must possess a Bachelor's degree in Computer Science or a related field, along with at least 2 years of hands-on experience in Oracle PL/SQL development. A solid understanding of relational databases, proficiency in writing and optimizing PL/SQL code, and familiarity with database design and data modeling are essential requirements. Additionally, you should be well-versed in database performance tuning and optimization strategies, database backup and recovery processes, and version control systems like Git or SVN. Knowledge of data integration and ETL processes, along with experience in Agile/Scrum environments, will be advantageous. Strong analytical and problem-solving skills are crucial, along with the ability to collaborate effectively in a team setting. Excellent communication skills, both verbal and written, are highly valued. Certifications in Oracle technologies would be a plus, and familiarity with programming languages such as Java or Python is considered beneficial. If you meet these qualifications and have the required skills in database performance tuning, SQL querying, ETL processes, database design, and PL/SQL development, we encourage you to apply for this exciting opportunity.,

We are seeking a skilled QA / Data Engineer with 3-5 years of experience. As the ideal candidate, you will possess expertise in manual testing and SQL, along with knowledge in automation and performance testing. Your primary responsibility will be to ensure the quality and reliability of our data-driven applications through comprehensive testing and validation. Key Responsibilities: - Utilize extensive experience in manual testing, particularly in data-centric environments. - Demonstrate strong SQL skills for data validation, querying, and testing database functionalities. - Implement data engineering concepts, including ETL processes, data pipelines, and data warehousing. - Work with Geo-Spatial Data to enhance data quality and analysis. - Apply QA methodologies and best practices for software and data testing. - Utilize effective communication skills for seamless collaboration within the team. Desired Skills: - Experience with automation testing tools and frameworks (e.g., Selenium, JUnit) for data pipelines. - Proficiency in performance testing tools (e.g., JMeter, LoadRunner) to evaluate data systems. - Familiarity with data engineering tools and platforms (e.g., Apache Kafka, Apache Spark, Hadoop). - Understanding of cloud-based data solutions (e.g., AWS, Azure, Google Cloud) and their testing methodologies. Qualifications: - Bachelor of Engineering - Bachelor of Technology (B.E./B.Tech.) In this role, you will play a crucial part in ensuring the quality of our data-centric applications by conducting thorough testing and validation processes. Your expertise in manual testing, SQL, ETL processes, data pipelines, data warehousing, and additional skills in automation and performance testing will be key to your success. Join our team in Bengaluru/Gurugram and contribute to the reliability and efficiency of our data-driven solutions.,

As an SME_IMAL with 3-5 years of experience, you will be responsible for demonstrating a strong understanding of IMal functionality and database schema. Your expertise in IMal operations, relational database management systems (RDBMS), SQL, ETL processes, data mapping, and data transformation scripting will be crucial for ensuring data accuracy and consistency. Familiarity with Islamic banking principles and financial operations will also be required for this role. Your role will involve collaborating with stakeholders, facilitating seamless transformations, and ensuring the accuracy and consistency of data. Your contact for further information is 9902084678. Thank you for your interest in this position.,

As a Data Engineer Intern at Uptitude, you will have the exciting opportunity to work on clean and scalable pipelines, applying your passion for data engineering to solve real-world problems. You will thrive in our fast-paced and dynamic start-up environment, based in our vibrant office in Gurugram, India. Uptitude is a forward-thinking consultancy that specializes in providing outstanding data, AI, and business intelligence solutions to clients worldwide. With our headquarters in London, UK, and teams spanning across India and Europe, we are dedicated to empowering businesses with data-driven insights that drive action and growth. Innovation, excellence, and collaboration are the cornerstones of our work at Uptitude. Your role as a Data Engineer will involve designing, developing, and optimizing data pipelines and infrastructure that support analytics, machine learning, and operational reporting. You will collaborate closely with analysts, BI engineers, data scientists, and business stakeholders to enhance our clients" data capabilities. To excel in this role, you should hold a degree in Computer Science, Engineering, or a related field. Proficiency in SQL and a programming language (preferably Python), an interest in data modeling, ETL processes, and cloud platforms (such as AWS, GCP, or Azure), as well as a basic understanding of databases, data types, and data wrangling are essential. A strong attention to detail and a willingness to learn in a fast-paced environment will be key to your success. At Uptitude, we uphold a set of core values that shape our work culture: - Be Awesome: Strive for excellence, continuously improve your skills, and deliver exceptional results. - Step Up: Take ownership of challenges, be proactive, and seek opportunities to contribute beyond your role. - Make a Difference: Embrace innovation, think creatively, and contribute to the success of our clients and the company. - Have Fun: Foster a positive work environment, celebrate achievements, and build strong relationships. We value our employees and offer a competitive benefits package, including a salary commensurate with experience, private health insurance coverage, offsite team-building trips, quarterly outings for unwinding and celebrating achievements, and corporate English lessons with a UK instructor. Join our fast-growing company with a global client base and seize the opportunity to grow and develop your skills in a dynamic and exciting environment. Apply now to be part of a team that is transforming data into opportunity at Uptitude.,

The Director, Business Insights is a key role within the Business Insights Team, which is dedicated to enabling all services to make data-driven decisions and operate efficiently. You will play a crucial role in partnering with leadership across various functions such as Sales, Delivery, Product, Finance, and more to enhance strategic decision-making through data and facts. Your responsibilities will include diagnosing strategic gaps and opportunities within operations and implementing corrective measures. Additionally, you will be involved in building data-driven infrastructure, driving productivity enhancements, and identifying technology solutions to meet business needs. In this role, you will influence decision-making processes within a dedicated function by providing data-driven insights to functional leaders. You will establish measurement frameworks, KPIs, and analysis questions to evaluate the health of the business. Your focus will be on optimizing team members" time on core activities by automating processes, simplifying workflows, and fostering collaboration. You will also lead special projects that require cross-functional collaboration, such as M&A integration and Agile initiatives. Furthermore, you will oversee the development of the Services analytic infrastructure to ensure optimal system configuration and centralized data aggregation. To excel in this position, you should possess excellent problem-solving skills, with an emphasis on scalable and automated frameworks and processes. A deep understanding of the business landscape relevant to the Services function is essential, along with proficiency in managing various data sets and utilizing data analytic tools. Your technical acumen, coupled with a generalist mindset and strong communication skills, will be instrumental in driving success in this role. Prior consulting experience would be advantageous. As a representative of Mastercard, you are expected to prioritize corporate security responsibilities. This includes adhering to security policies, safeguarding the confidentiality and integrity of information accessed, reporting any security violations or breaches, and participating in mandatory security training sessions. Join us in this dynamic role as Director, Business Insights and contribute to the growth and success of our data-driven decision-making processes.,

The BI Developer role involves designing, developing, and maintaining business intelligence solutions to facilitate data-driven decision-making within the organization. You will collaborate with stakeholders to comprehend their requirements and convert them into technical specifications. Your responsibilities will include developing data models, designing ETL processes, and creating reports and dashboards. You will be accountable for: - Designing, developing, and maintaining business intelligence solutions encompassing data models, ETL processes, reports, and dashboards. - Collaborating closely with stakeholders to gather business requirements and translate them into technical specifications. - Creating and managing ETL processes for extracting, transforming, and loading data from diverse sources into the data warehouse. - Building and managing data models to enable efficient querying and analysis of extensive datasets. - Developing and maintaining reports and dashboards utilizing BI tools like Tableau, Power BI. - Monitoring and troubleshooting BI solutions to ensure optimal performance and data accuracy. - Coordinating with data engineers and database administrators to guarantee proper data storage and optimization for reporting and analysis. - Documenting BI solutions, including data dictionaries, technical specifications, and user manuals. - Keeping abreast of industry trends in business intelligence and data analytics. - Collaborating with other developers and stakeholders to align BI solutions with the organization's goals. Requirements: - Bachelor's degree in computer science, information systems, or a related field. - Minimum 4 years of experience in developing business intelligence solutions. - Proficiency in SQL, ETL processes, and data modeling. - Experience with data visualization best practices and techniques. - Strong analytical and problem-solving abilities. - Excellent communication and collaboration skills. - Experience in developing SSRS Power BI Reports and designing Tabular Cube / Multidimensional. Application Question(s): - How many years of hands-on experience do you have with Azure Services like ADF and Synapse - How many years of experience do you have working with Power BI, SQL, and ETL tools This is a full-time, permanent position with benefits including health insurance and provident fund. The work schedule is a fixed day shift from Monday to Friday, to be carried out in person.,

You are a highly skilled and experienced Senior Engineer in Data Science who will be responsible for designing and implementing next-generation data science solutions. Your role will involve shaping the data strategy and driving innovation through advanced analytics and machine learning. In this position, your responsibilities will include providing technical leadership and designing end-to-end data science solutions. This encompasses data acquisition, ingestion, processing, storage, modeling, and deployment. You will also be tasked with developing and maintaining scalable data pipelines and architectures using cloud-based platforms and big data technologies to handle large volumes of data efficiently. Collaboration with stakeholders to define business requirements and translate them into technical specifications is essential. As a Senior Engineer in Data Science, you will select and implement appropriate machine learning algorithms and techniques, staying updated on the latest advancements in AI/ML to solve complex business problems. Building and deploying machine learning models, monitoring and evaluating model performance, and providing technical leadership and mentorship to junior data scientists are also key aspects of this role. Furthermore, you will contribute to the development of data science best practices and standards. To qualify for this position, you should hold a B.Tech/M.Tech/M.Sc (Mathematics/Statistics)/PhD from India or abroad. You are expected to have at least 4+ years of experience in data science and machine learning, with a total of around 7+ years of overall experience. A proven track record of technical leadership and implementing complex data science solutions is required, along with a strong understanding of data warehousing, data modeling, and ETL processes. Expertise in machine learning algorithms and techniques, time series analysis, programming proficiency in Python, knowledge of general data science tools, domain knowledge in Industrial, Manufacturing, and/or Healthcare, proficiency in cloud-based platforms and big data technologies, and excellent communication and collaboration skills are all essential qualifications for this role. Additionally, contributions to open-source projects or publications in relevant fields will be considered an added advantage.,