Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud data storage solutions and data warehousing concepts. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud data storage solutions and data warehousing concepts. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 7.5 years of experience in PySpark.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 7.5 years of experience in PySpark.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud-based data solutions and services. Additional Information:- The candidate should have minimum 7.5 years of experience in PySpark.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud-based data solutions and services. Additional Information:- The candidate should have minimum 7.5 years of experience in PySpark.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and data integration techniques.- Familiarity with cloud platforms such as AWS or Azure for data storage and processing.- Knowledge of data warehousing concepts and best practices. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and data integration techniques.- Familiarity with cloud platforms such as AWS or Azure for data storage and processing.- Knowledge of data warehousing concepts and best practices. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Experience with data pipeline development and management.- Strong understanding of ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud-based data solutions and architectures. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Experience with data pipeline development and management.- Strong understanding of ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud-based data solutions and architectures. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Oracle Business Intelligence Enterprise Edition (OBIEE) Plus Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while ensuring that all development aligns with best practices and organizational standards. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Business Intelligence Enterprise Edition (OBIEE) Plus.- Strong understanding of data modeling and ETL processes.- Experience with dashboard creation and report generation.- Familiarity with SQL and database management.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 7.5 years of experience in Oracle Business Intelligence Enterprise Edition (OBIEE) Plus.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

As an Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s degree in computer science, Supply Chain, Information Systems, or related field. Minimum of 5-7 years of experience in Master Data Management or related field. 3-5 years SAP experience / ERP experience required with strong exposure to at least two of the functional areas described above – Proven experience in leading an MDM team. Strong knowledge of data governance principles, best practices, and technologies. – Experience with data profiling, cleansing, and enrichment tools. Ability to work with cross-functional teams to understand and address their master data needs. Proven ability to build predictive analytics tools using PowerBI, Spotfire or otherwise Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance frameworks and compliance standards.- Ability to troubleshoot and optimize data workflows for efficiency. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance frameworks and compliance standards.- Ability to troubleshoot and optimize data workflows for efficiency. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Your role will require you to analyze requirements, propose solutions, and contribute to the overall strategy of the data platform, making it a dynamic and impactful position within the team. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance frameworks and compliance standards.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Your role will require you to analyze requirements, propose solutions, and contribute to the overall strategy of the data platform, making it a dynamic and impactful position within the team. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance frameworks and compliance standards.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Strong proficiency in Tableau Desktop Strong proficiency in Tableau Server. Strong proficiency in Tableauand SQL. Experience with SQL and data manipulation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4-7 Years. 3 Years + of relevant exp. Goodhands on experience in Tableau. Should be confident in tableau visualization skills Preferred technical and professional experience Effective communication and presentation skills. Industry expertise / specialization

Very good experience on Continuous Flow Graph tool used for point based development. Design, develop, and maintain ETL processes using Ab Initio tools. Write, test, and deploy Ab Initio graphs, scripts, and other necessary components. Troubleshoot and resolve data processing issues and improve performance Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Over all 8 Years and Relevant 5+ years Extract, transform, and load data from various sources into data warehouses, operational data stores, or other target systems. Work with different data formats, including structured, semi-structured, and unstructured data Preferred technical and professional experience Effective communication and presentation skills. Industry expertise / specialization

Dear Candidate, Greetings From Binary Semantics Ltd.!! Immediate Hiring For Sr SSIS Developer - Gurgaon(WFO) About Binary Semantics Ltd. Binary Semantics Limited (BSL) is a ISO 9001: 2015 & ISO 27001:2013 and CMMI Level 3 offshore development and a software services company headquartered in Gurugram. We have strong software engineering and service processes and are providing wide range of services varying from maintenance of existing applications to full life-cycle development of enterprise-wide business applications to the satisfaction of our customers since 1986. Our Robust Processes and Methodologies have been successfully tried and tested for over three decades with our clients. Our portfolio of services includes Application Engineering and Implementation, Product Engineering, Professional Consulting, IoT and Vehicle Telematics, Web Presence Enhancement, Business Intelligence & Analytics services and many more. List of our gold and silver partners and alliances includes Maplesoft, SAS, Microsoft and Oracle. Our practice area includes engineering and automotive manufacturing, personnel & compensation applications, insurance & finance etc. Position – Developer - SSIS Experience – 3-5 years Location – Gurgaon Salary – As per industry standards. Job Description: We are looking for a highly skilled and experienced Senior SSIS Developer to design, develop, deploy, and maintain ETL solutions using Microsoft SQL Server Integration Services (SSIS) . The candidate should have extensive hands-on experience in data migration , data transformation , and integration workflows between multiple systems, including preferred exposure to Oracle Cloud Infrastructure (OCI) . Key Responsibilities: Design, develop, and maintain complex SSIS packages for ETL processes across different environments. Perform end-to-end data migration from legacy systems to modern platforms, ensuring data quality, integrity, and performance. Work closely with business analysts and data architects to understand data integration requirements. Optimize ETL workflows for performance and reliability, including incremental loads, batch processing, and error handling. Schedule and automate SSIS packages using SQL Server Agent or other tools. Conduct root cause analysis and provide solutions for data-related issues in production systems. Develop and maintain technical documentation, including data mapping, transformation logic, and process flow diagrams. Support integration of data between on-premises systems and Oracle Cloud (OCI) using SSIS and/or other middleware tools. Participate in code reviews, unit testing, and deployment support. Education: Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent practical experience). Required Skills: 3+ years of hands-on experience in developing SSIS packages for complex ETL workflows . Strong SQL/T-SQL skills for querying, data manipulation, and performance tuning. Solid understanding of data migration principles , including historical data load, data validation, and reconciliation techniques. Experience in working with various source/target systems like flat files, Excel, Oracle, DB2, SQL Server, etc. Good knowledge of job scheduling and automation techniques. Preferred Skills: Exposure or working experience with Oracle Cloud Infrastructure (OCI) – especially in data transfer, integration, and schema migration. Familiarity with on-premises-to-cloud and cloud-to-cloud data integration patterns. Knowledge of Azure Data Factory, Informatica, or other ETL tools is a plus. Experience in .NET or C# for custom script components in SSIS is advantageous. Understanding of data warehousing and data lake concepts. Interested candidate can share their resume on below mentioned email id with details: juhi.khubchandani@binarysemantics.com Total Exp: Relevant Exp: CTC: ECTC: Notice Period: Location: Regards, Juhi Khubchandani Talent Acquisition Binary Semantics Ltd. Show more Show less

Report and analyze finance and operational data from multiple sources to drive decision-making. Utilize Power BI for data visualization (DAX, M language). Normalize and manage various data sets for accuracy and future impact assessment. Collaborate with teams to enhance dashboard automation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3-5 years of experience in Reporting and data analytics. Advanced Power BI skills. Advanced SQL knowledge Python knowledge for automation is a plus. Strong analytical skills with a focus on data quality. Preferred technical and professional experience Good Communication skills Understand the data model and how the database works (primary + foreign key, relations) Able to read and edit HTML/CSS code Basics of SQL Salesforce Marketing Cloud knowledge

Greetings! TCS India presents excellent opportunities for IT professionals. Mega Walk-in Drive for Bhubaneswar Location Role :- Informatica Developer Experience:- 4-10 years Location:- Bhubaneswar Required Technical Skill Set:- Informatica Powercenter / IISC Date:- Saturday, 21st June, 2025 Time:- 9:30 AM to 11 AM Show more Show less

Greetings! TCS India presents excellent opportunities for IT professionals. Mega Walk-in Drive for Bhubaneswar Location Role :- Informatica Developer Experience:- 4-10 years Location:- Bhubaneswar Required Technical Skill Set:- Informatica Powercenter / IISC Date:- Saturday, 21st June, 2025 Time:- 9:30 AM to 11 AM Show more Show less

Entity: Finance Job Family Group: Business Support Group Job Description: We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat and mobility to millions of people, every day. In India, we operate bp’s FBT, which is a coordinated part of bp. Our people want to play their part in solving the big, sophisticated challenges facing our world today and, guided by our bp values, are working to help meet the world’s need for more energy while lowering carbon emissions. In our offices at Pune, we work in customer service, finance, accounting, procurement, HR services and other enabling functions – providing solutions across all bp. Would you like to discover how our diverse, hardworking people are owning the way in making energy cleaner and better – and how you can play your part in our outstanding team? Join our team, and develop your career in an encouraging, forward-thinking environment! Key Accountabilities Data Quality/Modelling/Design thinking: Demonstrating SAP MDG/ECCs experience the candidate is able to investigate to do root cause analysis for assigned use cases. Also able to work with Azure data lake (via Databricks) using SQL/Python. Data Model (Conceptual and Physical) will be needed to be identified and built that provides automated mechanism to supervise on going DQ issues. Multiple workshops may also be needed to work through various options and identifying the one that is most efficient and effective Works with business (Data Owners/Data Stewards) to profile data for exposing patterns indicating data quality issues. Also is able to identify impact to specific CDEs deemed relevant for each individual business. Identifies financial impacts of Data Quality Issue. Also is able to identify business benefit (quantitative/qualitative) from a remediation standpoint along with leading implementation timelines. Schedules regular working groups with business that have identified DQ issues and ensures progression for RCA/Remediation or for presenting in DGFs Identifies business DQ rules basis which critical metrics/Measures are stood up that champion into the dashboarding/workflows for BAU monitoring. Red flags are raised and investigated Understanding of Data Quality value chain, starting with Critical Data Element concepts, Data Quality Issues, Data Quality important metrics/Measures is needed. Also has experience owing and completing Data Quality Issue assessments to aid improvements to operational process and BAU initiatives Highlights risk/hidden DQ issues to Lead/Manager for further mentorship/customer concern. Interpersonal skills are significant in this role as this is outward facing and focus has to be on clearly articulation messages. Dashboarding & Workflow: Builds and maintains effective analytics and partner concern mechanisms which detect poor data and help business lines drive resolution Support crafting, building and deployment of data quality dashboards via PowerBI Resolves critical issue paths and constructs workflow and alerts which advise process and data owners of unresolved data quality issues Collaborates with IT & analytics teams to drive innovation (AI, ML, cognitive science etc.) DQ Improvement Plans: Creates, embeds and drives business ownership of DQ improvement plans Works with business functions and projects to create data quality improvement plans Sets targets for data improvements .Monitors and intervenes when sufficient progress is not being made Supports initiatives which are driving data clean-up of existing data landscape Project Delivery: Oversees, advises Data Quality Analysts and participates in delivery of data quality activities including profiling, establishing conversion criteria and resolving technical and business DQ issues Owns and develops relevant data quality work products as part of the DAS data change methodology Ensures data quality aspects are delivered as part of Gold and Silver data related change projects Supports the creation of cases with insight into the cost of poor data Crucial Experience and Job Requirements: 11-15 total yrs of experience in Oil & Gas or a Financial Services/Banking industry within Data Management space Experience of working with Data Models/Structures and investigating to design and fine tune them Experience of Data Quality Management i.e. Governance, DQI management (root cause analysis, Remediation /solution identification), Governance Forums (papers production, quorum maintenance, Minutes publication), CDE identification, Data Lineage (identification of authoritative data sources) preferred. Understand of important metrics/Measures needed as well Experience of having worked with senior partners in multiple Data Domain/Business Areas, CDO and Technology. Ability to operate in global teams within multiple time zones Ability to operate in a multifaceted and changing setup and be able to identify priorities. Also ability to operate independently without too much direction Desirable criteria SAP MDG/SAP ECC experience (T codes, Tables structures etc) Azure Data lake /AWS/Data Bricks Crafting dashboards & workflows (powerBI QlikView or Tableau etc.) Crafting analytics and insight in a DQ setting (PowerBI/power Query) Profiling and analysis skills (SAP DI, Informatica or Collibra) Persuading, influencing and communication at a senior level management level. Certification in Data Management, Data Science, Python/R desirable Travel Requirement No travel is expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

Entity: Finance Job Family Group: Business Support Group Job Description: We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat and mobility to millions of people, every day. In India, we operate bp’s FBT, which is a coordinated part of bp. Our people want to play their part in solving the big, sophisticated challenges facing our world today and, guided by our bp values, are working to help meet the world’s need for more energy while lowering carbon emissions. In our offices at Pune, we work in customer service, finance, accounting, procurement, HR services and other enabling functions – providing solutions across all bp. Would you like to discover how our diverse, hardworking people are owning the way in making energy cleaner and better – and how you can play your part in our outstanding team? Join our team, and develop your career in an encouraging, forward-thinking environment! Key Accountabilities Data Quality/Modelling/Design thinking: Demonstrating SAP MDG/ECCs experience the candidate is able to investigate to do root cause analysis for assigned use cases. Also able to work with Azure data lake (via Databricks) using SQL/Python. Data Model (Conceptual and Physical) will be needed to be identified and built that provides automated mechanism to supervise on going DQ issues. Multiple workshops may also be needed to work through various options and identifying the one that is most efficient and effective Works with business (Data Owners/Data Stewards) to profile data for exposing patterns indicating data quality issues. Also is able to identify impact to specific CDEs deemed relevant for each individual business. Identifies financial impacts of Data Quality Issue. Also is able to identify business benefit (quantitative/qualitative) from a remediation standpoint along with leading implementation timelines. Schedules regular working groups with business that have identified DQ issues and ensures progression for RCA/Remediation or for presenting in DGFs Identifies business DQ rules basis which critical metrics/Measures are stood up that champion into the dashboarding/workflows for BAU monitoring. Red flags are raised and investigated Understanding of Data Quality value chain, starting with Critical Data Element concepts, Data Quality Issues, Data Quality important metrics/Measures is needed. Also has experience owing and completing Data Quality Issue assessments to aid improvements to operational process and BAU initiatives Highlights risk/hidden DQ issues to Lead/Manager for further mentorship/customer concern. Interpersonal skills are significant in this role as this is outward facing and focus has to be on clearly articulation messages. Dashboarding & Workflow: Builds and maintains effective analytics and partner concern mechanisms which detect poor data and help business lines drive resolution Support crafting, building and deployment of data quality dashboards via PowerBI Resolves critical issue paths and constructs workflow and alerts which advise process and data owners of unresolved data quality issues Collaborates with IT & analytics teams to drive innovation (AI, ML, cognitive science etc.) DQ Improvement Plans: Creates, embeds and drives business ownership of DQ improvement plans Works with business functions and projects to create data quality improvement plans Sets targets for data improvements .Monitors and intervenes when sufficient progress is not being made Supports initiatives which are driving data clean-up of existing data landscape Project Delivery: Oversees, advises Data Quality Analysts and participates in delivery of data quality activities including profiling, establishing conversion criteria and resolving technical and business DQ issues Owns and develops relevant data quality work products as part of the DAS data change methodology Ensures data quality aspects are delivered as part of Gold and Silver data related change projects Supports the creation of cases with insight into the cost of poor data Crucial Experience and Job Requirements: 11-15 total yrs of experience in Oil & Gas or a Financial Services/Banking industry within Data Management space Experience of working with Data Models/Structures and investigating to design and fine tune them Experience of Data Quality Management i.e. Governance, DQI management (root cause analysis, Remediation /solution identification), Governance Forums (papers production, quorum maintenance, Minutes publication), CDE identification, Data Lineage (identification of authoritative data sources) preferred. Understand of important metrics/Measures needed as well Experience of having worked with senior partners in multiple Data Domain/Business Areas, CDO and Technology. Ability to operate in global teams within multiple time zones Ability to operate in a multifaceted and changing setup and be able to identify priorities. Also ability to operate independently without too much direction Desirable criteria SAP MDG/SAP ECC experience (T codes, Tables structures etc) Azure Data lake /AWS/Data Bricks Crafting dashboards & workflows (powerBI QlikView or Tableau etc.) Crafting analytics and insight in a DQ setting (PowerBI/power Query) Profiling and analysis skills (SAP DI, Informatica or Collibra) Persuading, influencing and communication at a senior level management level. Certification in Data Management, Data Science, Python/R desirable Travel Requirement No travel is expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

Job Description The Data Catalog Specialist is responsible for the design, implementation, and maintenance of the data catalog within the S/4HANA landscape. This role ensures that data assets are well-defined, easily discoverable, and properly governed, enabling data-driven decision-making across the organization. Key Responsibilities: Data Catalog Implementation & Management: Document data elements in scope in pre-defined format Support design and implement the data catalog solution, integrating it with the S/4HANA environment in line with MDLZ strategy. Support configuration and customization of the data catalog tool to meet organizational needs. Metadata Management: Organize and document metadata in line with MDLZ standards and policies. Collaborate with data owners and stewards to capture and curate metadata for S/4HANA data assets. Support implementation of metadata extraction and enrichment processes. Ensure metadata quality and consistency across the data catalog. Data Discovery & Search: Train users to easily discover and understand data assets through the data catalog. Support search functionality optimization and indexing for efficient data discovery. Support development of a user-friendly interface for browsing and exploring the data catalog. Data Governance & Compliance: Support data governance initiatives by maintaining of a central repository for data definitions and lineage. Document quality and business rules and standards for data and support implementation of data quality solution. Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) by documenting data sensitivity and access controls. S/4HANA Integration: Work closely with S/4HANA Finance teams to understand their data requirements and collaborate with other functional teams on requirements for data cataloguing. Support data cataloguing tool integration with S/4HANA data sources, including tables, views, and APIs. Collaboration & Communication: Collaborate with data owners, data stewards, data architects, and business users to ensure the data catalog is aligned with functional requirements Provide training and support to data users on how to use the data catalog effectively. Qualifications: Education: Bachelor's degree in Computer Science, Information Management, or a related field. Experience: 3+ years of experience in data governance, metadata management, or data catalog implementation. Strong understanding of data governance principles and practices. Hands-on experience with data catalog tools (e.g., Alation, Collibra, Informatica Enterprise Data Catalog). Experience with S/4HANA data structures and data flows. Familiarity with data modeling and data warehousing concepts. Skills: Proficiency in SQL and data manipulation languages - preferred Excellent communication and interpersonal skills. Strong analytical and problem-solving abilities. Ability to work independently and as part of a team. Preferred Qualifications : Experience with SAP Information Steward or other SAP data governance tools. Knowledge of SAP Master Data Governance (MDG). Experience with cloud-based data catalog solutions. Certifications in data governance or metadata management. Responsibilities Specific to S/4HANA: Understanding of S/4HANA Data: Possess a strong understanding of the S/4HANA data model, including key tables, business objects, and data relationships. Understanding of SAP Fiori Apps: Knowledge of how data is presented and consumed through SAP Fiori apps. Key Performance Indicators (KPIs): Data catalog adoption rate. Number of data assets documented in the data catalog. Data quality scores for key S/4HANA data elements. Reduction in time spent searching for data. Increased data literacy among business users. No Relocation support available Business Unit Summary Headquartered in Singapore, Mondelēz International’s Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Digital Strategy & Innovation Technology & Digital Show more Show less