3001 Data Engineering Jobs - Page 30

About The Role 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 : Alteryx 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 for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. 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.- Lead data solution architecture design.- Implement data governance policies and procedures.- Optimize data storage and retrieval processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Alteryx.- Strong understanding of data modeling and database design.- Experience with data integration tools and techniques.- Knowledge of data warehousing concepts.- Hands-on experience with SQL and scripting languages. Additional Information:- The candidate should have a minimum of 5 years of experience in Alteryx.- This position is based at our Mumbai office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Engineering Good to have skills : NAMinimum 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, and ensuring that applications function seamlessly to support business operations. You will engage in problem-solving activities, contribute to key decisions, and manage the development process to deliver high-quality applications that align with organizational goals. 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 Data Engineering.- Strong understanding of data modeling and ETL processes.- Experience with cloud platforms such as AWS or Azure.- Familiarity with data warehousing concepts and technologies.- Ability to work with big data technologies like Hadoop or Spark. Additional Information:- The candidate should have minimum 5 years of experience in Data Engineering.- This position is based at our Coimbatore office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will collaborate with teams to ensure successful project delivery and contribute to key decisions. Work on client projects to deliver AWS, PySpark, Databricks based Data engineering & Analytics solutions. Build and operate very large data warehouses or data lakes. ETL optimization, designing, coding, & tuning big data processes using Apache Spark. Build data pipelines & applications to stream and process datasets at low latencies. Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data. Technical Experience:Minimum of 5 years of experience in Databricks engineering solutions on AWS Cloud platforms using PySpark, Databricks SQL, Data pipelines using Delta Lake.Minimum of 5 years of experience years of experience in ETL, Big Data/Hadoop and data warehouse architecture & delivery. Minimum of 2 years of experience years in real time streaming using Kafka/KinesisMinimum 4 year of Experience in one or more programming languages Python, Java, Scala.Experience using airflow for the data pipelines in min 1 project.1 years of experience developing CICD pipelines using GIT, Jenkins, Docker, Kubernetes, Shell Scripting, Terraform Educational Qualification:Bachelor of Engineering / Bachelor of Technology Additional Information:A Client facing skills:solid experience working in client facing environments, to be able to build trusted relationships with client stakeholders.Good critical thinking and problem-solving abilities Health care knowledge Good Communication Skills The candidate should have a minimum of 12 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role 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 : Snowflake Data Warehouse, PySpark, Core Banking Good to have skills : AWS BigDataMinimum 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 processing workflow. 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 processing workflows to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Core Banking, PySpark.- Good To Have Skills: Experience with AWS BigData.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud-based data storage solutions and architectures. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

So, what’s the role all about? The Prompt Engineer optimizes prompts to generative AI models across NiCE's Illuminate applications. As part of the Illuminate Research team, the Prompt Engineer works with several groups in the business to help our applications deliver the highest quality customer experience. The Prompt Engineer partners with global development teams to help diagnose and resolve prompt-based issues. This includes helping to define and execute tests for LLM-based systems that are difficult to evaluate with traditional test automation tools. The Prompt Engineer also helps educate the development teams on advances in prompt engineering and helps update production prompts to evolving industry best practices. How will you make an impact? Regularly review production metrics and specific problem cases to find opportunities for improvement. Help diagnose and resolve issues with production prompts in English. Refine prompts to generative AI systems to achieve customer goals. Collect and present quantitative analysis on solution success. Work with application developers to implement new production monitoring tools and metrics. Work with architects and Product Managers to implement prompts to support new features. Meet regularly with teams working in United States Mountain and Pacific time zones (UTC-7:00 and UTC-8:00). Review new prompts and prompt changes with Machine Learning Engineers. Consult with Machine Learning Engineers for more challenging problems. Stay informed about new advances in prompt engineering. Have you got what it takes? Fluent in written and spoken English. BS in technology-related field such as computer science, business intelligence/analytics, or finance. 5- 7 years' work experience in a technology-related industry or position. Familiarity with best practices in prompt engineering, to include differences in prompts between major LLM vendors. Ability to develop and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to internal and external stakeholders. Experience with Python and at least one web app framework for prototyping, e.g., Streamlit or Flask. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7815 Reporting into: Tech Manager Role Type: Individual Contributor

About The Role 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 : Informatica Data Quality Good to have skills : NAMinimum 3 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 effectively migrate and deploy data across various systems. You will collaborate with team members to enhance data workflows and contribute to the overall efficiency of data management practices within the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of data architecture to support data initiatives.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica Data Quality.- Strong understanding of data integration techniques and ETL processes.- Experience with data quality assessment and improvement methodologies.- Familiarity with data governance principles and best practices.- Ability to work with large datasets and perform data cleansing. Additional Information:- The candidate should have minimum 3 years of experience in Informatica Data Quality.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

6 months-3 yrs of IT experience Knowledge on Bigquery, SQL Or similar tools Aware of ETL and Data warehouse concepts Good oral and written communication skills Great team player and able to work efficiently with minimal supervision Should have good knowledge of Java or python to conduct data cleansing Preferred: Good communication and problem-solving skills Experience on Spring Boot would be an added advantage Apache Beam developer with Google Cloud BigTable and Google BigQuery is desirable Experience in Google Cloud Platform (GCP) Skills in writing batch and stream processing jobs using Apache Beam Framework (Dataflow) Knowledge of Microservices, Pub/Sub, Cloud Run, Cloud Function Roles and Responsibilities Develop high performance and scalable solutions using GCP that extract, transform, and load big data. Designing and building production-grade data solutions from ingestion to consumption using Java / Python Design and optimize data models on GCP cloud using GCP data stores such as BigQuery Optimizing data pipelines for performance and cost for large scale data lakes. Writing complex, highly-optimized queries across large data sets and to create data processing layers. Closely interact with Data Engineers to identify right tools to deliver product features by performing POC Collaborative team player that interacts with business, BAs and other Data/ML engineers Research new use cases for existing data.

We're seeking a skilled Software Engineer with expertise in Python and it would be nice to have experience of working on Large Language Models (LLM) to join our team. Desired Skills and Experience Essential skills Minimum of a bachelors degree in a technical or quantitative field with strong academic background Demonstrated ability to implement data engineering pipelines and real-time applications in python (C++ is a plus) Proficiency with object oriented programming in python is a must Experience with Linux/Unix shell/ scripting languages and Git is a must Experience with python based tools like Jupyter notebook, coding standards like pep8 is a plus Strong problem-solving skills and understanding of data structures and algorithms Experience with large-scale data processing and pipeline development Understanding of various LLM frameworks and experience with prompt engineering using Python or other scripting languages Nice to have Knowledge of natural language processing (NLP) concepts, familiarity with integrating and leveraging LLM APIs for various applications Key Responsibilities Design, develop, and maintain projects using Python along with operational support Transform a wide range of structured and unstructured data into standardized outputs for quantitative analysis and financial engineering Participate in code reviews, ensure coding standards, and contribute to the improvement of the codebase Develop the utility tools that can further automate the software development, testing and deployment workflow Collaborate with internal and external cross-functional teams Key Metrics Python Behavioral Competencies Good communication (verbal and written), critical thinking, and attention to detail

Design and optimize data pipelines for financial datasets. Manage data storage and querying using MongoDB and Elasticsearch/OpenSearch. Deploy cloud-native solutions on AWS (S3, Lambda, Glue, Athena etc). Write efficient Python code for data processing and integration. Integrate AI/ML models into pipelines for analytics. Implement CI/CD, automation, and monitoring using DevOps/DataOps. Optimize data systems for performance and cost. Collaborate with stakeholders to deliver tailored solutions. Criteria - 4 to 8 years in data engineering, 3+ in financial data. Expert in Python, MongoDB, Elasticsearch/OpenSearch. Strong AWS experience. Knowledge of AI/ML frameworks and integration. Proficient in DevOps/DataOps (CI/CD, Docker). Strong problem-solving and communication skills. Bachelors/Masters in Computer Science or related field.

Designation / Position : Data Engineer SAP BW/4HANA Work Experience Required : 5-10 years Job Location(s) : Remote Industry Type : IT / Software / SAP Services Functional Area : Data Engineering / SAP BW/4HANA / Automation Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or related field Responsibilities : - Design, develop, and maintain high-performance data solutions within the SAP BW/4HANA environment, ensuring data quality and integrity. - Utilize ABAP and AMDP to develop efficient data extraction, transformation, and loading (ETL) processes within SAP BW/4HANA. - Optimize existing data models, data flows, and query performance in SAP BW/4HANA. - Implement and manage data automation workflows using tools such as Automic or similar scheduling platforms. - Support and troubleshoot data pipelines, which may include integration with Hadoop-based systems and other data sources. - Collaborate effectively with international team members across different time zones, participating in meetings and sharing knowledge. - Actively participate in all phases of the project lifecycle, from requirements gathering and design to development, testing, and deployment, utilizing tools like Micro Focus ALM and MF Service Manager for project tracking and issue management. - Write clear and concise technical documentation for developed data solutions and processes. - Work with File Transfer Protocols (e.g., SFTP, FTP) to manage data exchange with various systems. - Utilize collaboration tools such as Jira and Confluence for task management, knowledge sharing, and documentation. - Ensure adherence to data governance policies and standards. - Proactively identify and resolve performance bottlenecks and data quality issues within the SAP BW/4HANA system. - Stay up-to-date with the latest advancements in SAP BW/4HANA, data engineering technologies, and automation tools. - Contribute to the continuous improvement of our data engineering processes and methodologies. Technical Skills : - SAP BW/4HANA : Extensive hands-on experience in designing, developing, and administering SAP BW/4HANA systems, including data modeling (LSA++, virtual data models), data extraction from various sources (SAP and non-SAP), transformations, and loading processes. - ABAP for BW/4HANA : Strong proficiency in ABAP programming, specifically for developing routines, transformations, and other custom logic within SAP BW/4HANA. - AMDP : Solid experience in developing and optimizing data transformations using ABAP Managed Database Procedures (AMDP) for performance enhancement. - Data Engineering Principles : Strong understanding of data warehousing concepts, data modeling techniques, ETL/ELT processes, and data quality principles. - Automation Tools : Hands-on experience with automation tools, preferably Automic, for scheduling and managing data workflows. - Hadoop (Beneficial) : Familiarity with Hadoop ecosystems and technologies (e.g., HDFS, Hive, Spark) and experience integrating with SAP BW/4HANA is a plus. - File Transfer Protocols : Experience working with various file transfer protocols (e.g., SFTP, FTP, HTTPS) for data exchange. - SQL : Strong SQL skills for data querying and analysis. - SAP BW Query Designer and BEx Analyzer (Beneficial) : Experience with SAP BW Query Designer and BEx Analyzer for creating and troubleshooting reports is a plus. - SAP HANA (Underlying Database) : Good understanding of SAP HANA as the underlying database for SAP BW/4HANA. Functional Skills : - Strong analytical and problem-solving skills with the ability to translate business requirements into technical data solutions. - Excellent communication skills, both written and verbal, with the ability to effectively communicate with technical and non-technical stakeholders in an international setting. - Proven ability to collaborate effectively within a geographically distributed team. - Experience working with project management tools like Micro Focus ALM and MF Service Manager for issue tracking and project lifecycle management. - Familiarity with collaboration tools such as Jira and Confluence. - Ability to work independently and manage tasks effectively in a remote environment. - Adaptability to different cultural norms and communication styles within a global team. Qualifications : - Bachelors or Masters Degree in Computer Science, Information Technology, Data Science, or a related field. - 5-10 years of professional experience as a Data Engineer with a focus on SAP BW/4HANA. - Proven track record of successful implementation and support of SAP BW/4HANA data solutions. - Strong understanding of data warehousing principles and best practices. - Excellent communication and collaboration skills in an international environment. Bonus Points : - SAP BW/4HANA certification. - Experience with other data warehousing technologies. - Knowledge of SAP Analytics Cloud (SAC) and its integration with SAP BW/4HANA. - Experience with agile development methodologies

Designation / Position : Data Engineer SAP BW/4HANA Work Experience Required : 5-10 years Job Location(s) : Remote Industry Type : IT / Software / SAP Services Functional Area : Data Engineering / SAP BW/4HANA / Automation Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or related field Responsibilities : - Design, develop, and maintain high-performance data solutions within the SAP BW/4HANA environment, ensuring data quality and integrity. - Utilize ABAP and AMDP to develop efficient data extraction, transformation, and loading (ETL) processes within SAP BW/4HANA. - Optimize existing data models, data flows, and query performance in SAP BW/4HANA. - Implement and manage data automation workflows using tools such as Automic or similar scheduling platforms. - Support and troubleshoot data pipelines, which may include integration with Hadoop-based systems and other data sources. - Collaborate effectively with international team members across different time zones, participating in meetings and sharing knowledge. - Actively participate in all phases of the project lifecycle, from requirements gathering and design to development, testing, and deployment, utilizing tools like Micro Focus ALM and MF Service Manager for project tracking and issue management. - Write clear and concise technical documentation for developed data solutions and processes. - Work with File Transfer Protocols (e.g., SFTP, FTP) to manage data exchange with various systems. - Utilize collaboration tools such as Jira and Confluence for task management, knowledge sharing, and documentation. - Ensure adherence to data governance policies and standards. - Proactively identify and resolve performance bottlenecks and data quality issues within the SAP BW/4HANA system. - Stay up-to-date with the latest advancements in SAP BW/4HANA, data engineering technologies, and automation tools. - Contribute to the continuous improvement of our data engineering processes and methodologies. Technical Skills : - SAP BW/4HANA : Extensive hands-on experience in designing, developing, and administering SAP BW/4HANA systems, including data modeling (LSA++, virtual data models), data extraction from various sources (SAP and non-SAP), transformations, and loading processes. - ABAP for BW/4HANA : Strong proficiency in ABAP programming, specifically for developing routines, transformations, and other custom logic within SAP BW/4HANA. - AMDP : Solid experience in developing and optimizing data transformations using ABAP Managed Database Procedures (AMDP) for performance enhancement. - Data Engineering Principles : Strong understanding of data warehousing concepts, data modeling techniques, ETL/ELT processes, and data quality principles. - Automation Tools : Hands-on experience with automation tools, preferably Automic, for scheduling and managing data workflows. - Hadoop (Beneficial) : Familiarity with Hadoop ecosystems and technologies (e.g., HDFS, Hive, Spark) and experience integrating with SAP BW/4HANA is a plus. - File Transfer Protocols : Experience working with various file transfer protocols (e.g., SFTP, FTP, HTTPS) for data exchange. - SQL : Strong SQL skills for data querying and analysis. - SAP BW Query Designer and BEx Analyzer (Beneficial) : Experience with SAP BW Query Designer and BEx Analyzer for creating and troubleshooting reports is a plus. - SAP HANA (Underlying Database) : Good understanding of SAP HANA as the underlying database for SAP BW/4HANA. Functional Skills : - Strong analytical and problem-solving skills with the ability to translate business requirements into technical data solutions. - Excellent communication skills, both written and verbal, with the ability to effectively communicate with technical and non-technical stakeholders in an international setting. - Proven ability to collaborate effectively within a geographically distributed team. - Experience working with project management tools like Micro Focus ALM and MF Service Manager for issue tracking and project lifecycle management. - Familiarity with collaboration tools such as Jira and Confluence. - Ability to work independently and manage tasks effectively in a remote environment. - Adaptability to different cultural norms and communication styles within a global team. Qualifications : - Bachelors or Masters Degree in Computer Science, Information Technology, Data Science, or a related field. - 5-10 years of professional experience as a Data Engineer with a focus on SAP BW/4HANA. - Proven track record of successful implementation and support of SAP BW/4HANA data solutions. - Strong understanding of data warehousing principles and best practices. - Excellent communication and collaboration skills in an international environment. Bonus Points : - SAP BW/4HANA certification. - Experience with other data warehousing technologies. - Knowledge of SAP Analytics Cloud (SAC) and its integration with SAP BW/4HANA. - Experience with agile development methodologies

We are specifically looking for candidates with strong SQL skills, along with experience in Snowflake or Looker

Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or related field Responsibilities : - Design, develop, and maintain high-performance data solutions within the SAP BW/4HANA environment, ensuring data quality and integrity. - Utilize ABAP and AMDP to develop efficient data extraction, transformation, and loading (ETL) processes within SAP BW/4HANA. - Optimize existing data models, data flows, and query performance in SAP BW/4HANA. - Implement and manage data automation workflows using tools such as Automic or similar scheduling platforms. - Support and troubleshoot data pipelines, which may include integration with Hadoop-based systems and other data sources. - Collaborate effectively with international team members across different time zones, participating in meetings and sharing knowledge. - Actively participate in all phases of the project lifecycle, from requirements gathering and design to development, testing, and deployment, utilizing tools like Micro Focus ALM and MF Service Manager for project tracking and issue management. - Write clear and concise technical documentation for developed data solutions and processes. - Work with File Transfer Protocols (e.g., SFTP, FTP) to manage data exchange with various systems. - Utilize collaboration tools such as Jira and Confluence for task management, knowledge sharing, and documentation. - Ensure adherence to data governance policies and standards. - Proactively identify and resolve performance bottlenecks and data quality issues within the SAP BW/4HANA system. - Stay up-to-date with the latest advancements in SAP BW/4HANA, data engineering technologies, and automation tools. - Contribute to the continuous improvement of our data engineering processes and methodologies. Technical Skills : - SAP BW/4HANA : Extensive hands-on experience in designing, developing, and administering SAP BW/4HANA systems, including data modeling (LSA++, virtual data models), data extraction from various sources (SAP and non-SAP), transformations, and loading processes. - ABAP for BW/4HANA : Strong proficiency in ABAP programming, specifically for developing routines, transformations, and other custom logic within SAP BW/4HANA. - AMDP : Solid experience in developing and optimizing data transformations using ABAP Managed Database Procedures (AMDP) for performance enhancement. - Data Engineering Principles : Strong understanding of data warehousing concepts, data modeling techniques, ETL/ELT processes, and data quality principles. - Automation Tools : Hands-on experience with automation tools, preferably Automic, for scheduling and managing data workflows. - Hadoop (Beneficial) : Familiarity with Hadoop ecosystems and technologies (e.g., HDFS, Hive, Spark) and experience integrating with SAP BW/4HANA is a plus. - File Transfer Protocols : Experience working with various file transfer protocols (e.g., SFTP, FTP, HTTPS) for data exchange. - SQL : Strong SQL skills for data querying and analysis. - SAP BW Query Designer and BEx Analyzer (Beneficial) : Experience with SAP BW Query Designer and BEx Analyzer for creating and troubleshooting reports is a plus. - SAP HANA (Underlying Database) : Good understanding of SAP HANA as the underlying database for SAP BW/4HANA. Functional Skills : - Strong analytical and problem-solving skills with the ability to translate business requirements into technical data solutions. - Excellent communication skills, both written and verbal, with the ability to effectively communicate with technical and non-technical stakeholders in an international setting. - Proven ability to collaborate effectively within a geographically distributed team. - Experience working with project management tools like Micro Focus ALM and MF Service Manager for issue tracking and project lifecycle management. - Familiarity with collaboration tools such as Jira and Confluence. - Ability to work independently and manage tasks effectively in a remote environment. - Adaptability to different cultural norms and communication styles within a global team. Qualifications : - Bachelors or Masters Degree in Computer Science, Information Technology, Data Science, or a related field. - 5-10 years of professional experience as a Data Engineer with a focus on SAP BW/4HANA. - Proven track record of successful implementation and support of SAP BW/4HANA data solutions. - Strong understanding of data warehousing principles and best practices. - Excellent communication and collaboration skills in an international environment. Bonus Points : - SAP BW/4HANA certification. - Experience with other data warehousing technologies. - Knowledge of SAP Analytics Cloud (SAC) and its integration with SAP BW/4HANA. - Experience with agile development methodologies.

Designation / Position : Data Engineer SAP BW/4HANA Work Experience Required : 5-10 years Job Location(s) : Remote Industry Type : IT / Software / SAP Services Functional Area : Data Engineering / SAP BW/4HANA / Automation Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or related field Responsibilities : - Design, develop, and maintain high-performance data solutions within the SAP BW/4HANA environment, ensuring data quality and integrity. - Utilize ABAP and AMDP to develop efficient data extraction, transformation, and loading (ETL) processes within SAP BW/4HANA. - Optimize existing data models, data flows, and query performance in SAP BW/4HANA. - Implement and manage data automation workflows using tools such as Automic or similar scheduling platforms. - Support and troubleshoot data pipelines, which may include integration with Hadoop-based systems and other data sources. - Collaborate effectively with international team members across different time zones, participating in meetings and sharing knowledge. - Actively participate in all phases of the project lifecycle, from requirements gathering and design to development, testing, and deployment, utilizing tools like Micro Focus ALM and MF Service Manager for project tracking and issue management. - Write clear and concise technical documentation for developed data solutions and processes. - Work with File Transfer Protocols (e.g., SFTP, FTP) to manage data exchange with various systems. - Utilize collaboration tools such as Jira and Confluence for task management, knowledge sharing, and documentation. - Ensure adherence to data governance policies and standards. - Proactively identify and resolve performance bottlenecks and data quality issues within the SAP BW/4HANA system. - Stay up-to-date with the latest advancements in SAP BW/4HANA, data engineering technologies, and automation tools. - Contribute to the continuous improvement of our data engineering processes and methodologies. Technical Skills : - SAP BW/4HANA : Extensive hands-on experience in designing, developing, and administering SAP BW/4HANA systems, including data modeling (LSA++, virtual data models), data extraction from various sources (SAP and non-SAP), transformations, and loading processes. - ABAP for BW/4HANA : Strong proficiency in ABAP programming, specifically for developing routines, transformations, and other custom logic within SAP BW/4HANA. - AMDP : Solid experience in developing and optimizing data transformations using ABAP Managed Database Procedures (AMDP) for performance enhancement. - Data Engineering Principles : Strong understanding of data warehousing concepts, data modeling techniques, ETL/ELT processes, and data quality principles. - Automation Tools : Hands-on experience with automation tools, preferably Automic, for scheduling and managing data workflows. - Hadoop (Beneficial) : Familiarity with Hadoop ecosystems and technologies (e.g., HDFS, Hive, Spark) and experience integrating with SAP BW/4HANA is a plus. - File Transfer Protocols : Experience working with various file transfer protocols (e.g., SFTP, FTP, HTTPS) for data exchange. - SQL : Strong SQL skills for data querying and analysis. - SAP BW Query Designer and BEx Analyzer (Beneficial) : Experience with SAP BW Query Designer and BEx Analyzer for creating and troubleshooting reports is a plus. - SAP HANA (Underlying Database) : Good understanding of SAP HANA as the underlying database for SAP BW/4HANA. Functional Skills : - Strong analytical and problem-solving skills with the ability to translate business requirements into technical data solutions. - Excellent communication skills, both written and verbal, with the ability to effectively communicate with technical and non-technical stakeholders in an international setting. - Proven ability to collaborate effectively within a geographically distributed team. - Experience working with project management tools like Micro Focus ALM and MF Service Manager for issue tracking and project lifecycle management. - Familiarity with collaboration tools such as Jira and Confluence. - Ability to work independently and manage tasks effectively in a remote environment. - Adaptability to different cultural norms and communication styles within a global team. Qualifications : - Bachelors or Masters Degree in Computer Science, Information Technology, Data Science, or a related field. - 5-10 years of professional experience as a Data Engineer with a focus on SAP BW/4HANA. - Proven track record of successful implementation and support of SAP BW/4HANA data solutions. - Strong understanding of data warehousing principles and best practices. - Excellent communication and collaboration skills in an international environment. Bonus Points : - SAP BW/4HANA certification. - Experience with other data warehousing technologies. - Knowledge of SAP Analytics Cloud (SAC) and its integration with SAP BW/4HANA. - Experience with agile development methodologies

Designation / Position : Data Engineer SAP BW/4HANA Work Experience Required : 5-10 years Job Location(s) : Remote Industry Type : IT / Software / SAP Services Functional Area : Data Engineering / SAP BW/4HANA / Automation Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or related field Responsibilities : - Design, develop, and maintain high-performance data solutions within the SAP BW/4HANA environment, ensuring data quality and integrity. - Utilize ABAP and AMDP to develop efficient data extraction, transformation, and loading (ETL) processes within SAP BW/4HANA. - Optimize existing data models, data flows, and query performance in SAP BW/4HANA. - Implement and manage data automation workflows using tools such as Automic or similar scheduling platforms. - Support and troubleshoot data pipelines, which may include integration with Hadoop-based systems and other data sources. - Collaborate effectively with international team members across different time zones, participating in meetings and sharing knowledge. - Actively participate in all phases of the project lifecycle, from requirements gathering and design to development, testing, and deployment, utilizing tools like Micro Focus ALM and MF Service Manager for project tracking and issue management. - Write clear and concise technical documentation for developed data solutions and processes. - Work with File Transfer Protocols (e.g., SFTP, FTP) to manage data exchange with various systems. - Utilize collaboration tools such as Jira and Confluence for task management, knowledge sharing, and documentation. - Ensure adherence to data governance policies and standards. - Proactively identify and resolve performance bottlenecks and data quality issues within the SAP BW/4HANA system. - Stay up-to-date with the latest advancements in SAP BW/4HANA, data engineering technologies, and automation tools. - Contribute to the continuous improvement of our data engineering processes and methodologies. Technical Skills : - SAP BW/4HANA : Extensive hands-on experience in designing, developing, and administering SAP BW/4HANA systems, including data modeling (LSA++, virtual data models), data extraction from various sources (SAP and non-SAP), transformations, and loading processes. - ABAP for BW/4HANA : Strong proficiency in ABAP programming, specifically for developing routines, transformations, and other custom logic within SAP BW/4HANA. - AMDP : Solid experience in developing and optimizing data transformations using ABAP Managed Database Procedures (AMDP) for performance enhancement. - Data Engineering Principles : Strong understanding of data warehousing concepts, data modeling techniques, ETL/ELT processes, and data quality principles. - Automation Tools : Hands-on experience with automation tools, preferably Automic, for scheduling and managing data workflows. - Hadoop (Beneficial) : Familiarity with Hadoop ecosystems and technologies (e.g., HDFS, Hive, Spark) and experience integrating with SAP BW/4HANA is a plus. - File Transfer Protocols : Experience working with various file transfer protocols (e.g., SFTP, FTP, HTTPS) for data exchange. - SQL : Strong SQL skills for data querying and analysis. - SAP BW Query Designer and BEx Analyzer (Beneficial) : Experience with SAP BW Query Designer and BEx Analyzer for creating and troubleshooting reports is a plus. - SAP HANA (Underlying Database) : Good understanding of SAP HANA as the underlying database for SAP BW/4HANA. Functional Skills : - Strong analytical and problem-solving skills with the ability to translate business requirements into technical data solutions. - Excellent communication skills, both written and verbal, with the ability to effectively communicate with technical and non-technical stakeholders in an international setting. - Proven ability to collaborate effectively within a geographically distributed team. - Experience working with project management tools like Micro Focus ALM and MF Service Manager for issue tracking and project lifecycle management. - Familiarity with collaboration tools such as Jira and Confluence. - Ability to work independently and manage tasks effectively in a remote environment. - Adaptability to different cultural norms and communication styles within a global team. Qualifications : - Bachelors or Masters Degree in Computer Science, Information Technology, Data Science, or a related field. - 5-10 years of professional experience as a Data Engineer with a focus on SAP BW/4HANA. - Proven track record of successful implementation and support of SAP BW/4HANA data solutions. - Strong understanding of data warehousing principles and best practices. - Excellent communication and collaboration skills in an international environment. Bonus Points : - SAP BW/4HANA certification. - Experience with other data warehousing technologies. - Knowledge of SAP Analytics Cloud (SAC) and its integration with SAP BW/4HANA. - Experience with agile development methodologies

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips. As an AWS Data Engineer at Kyndryl, you will be responsible for designing, building, and maintaining scalable, secure, and high-performing data pipelines using AWS cloud-native services. This role requires extensive hands-on experience with both real-time and batch data processing, expertise in cloud-based ETL/ELT architectures, and a commitment to delivering clean, reliable, and well-modeled datasets. Key Responsibilities: Design and develop scalable, secure, and fault-tolerant data pipelines utilizing AWS services such as Glue, Lambda, Kinesis, S3, EMR, Step Functions, and Athena. Create and maintain ETL/ELT workflows to support both structured and unstructured data ingestion from various sources, including RDBMS, APIs, SFTP, and Streaming. Optimize data pipelines for performance, scalability, and cost-efficiency. Develop and manage data models, data lakes, and data warehouses on AWS platforms (e.g., Redshift, Lake Formation). Collaborate with DevOps teams to implement CI/CD and infrastructure as code (IaC) for data pipelines using CloudFormation or Terraform. Ensure data quality, validation, lineage, and governance through tools such as AWS Glue Data Catalog and AWS Lake Formation. Work in concert with data scientists, analysts, and application teams to deliver data-driven solutions. Monitor, troubleshoot, and resolve issues in production pipelines. Stay abreast of AWS advancements and recommend improvements where applicable. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience Bachelor’s or master’s degree in computer science, Engineering, or a related field Over 8 years of experience in data engineering More than 3 years of experience with the AWS data ecosystem Strong experience with Java, Pyspark, SQL, and Python Proficiency in AWS services: Glue, S3, Redshift, EMR, Lambda, Kinesis, CloudWatch, Athena, Step Functions Familiarity with data modelling concepts, dimensional models, and data lake architectures Experience with CI/CD, GitHub Actions, CloudFormation/Terraform Understanding of data governance, privacy, and security best practices Strong problem-solving and communication skills Preferred Skills and Experience Experience working as a Data Engineer and/or in cloud modernization. Experience with AWS Lake Formation and Data Catalog for metadata management. Knowledge of Databricks, Snowflake, or BigQuery for data analytics. AWS Certified Data Engineer or AWS Certified Solutions Architect is a plus. Strong problem-solving and analytical thinking. Excellent communication and collaboration abilities. Ability to work independently and in agile teams. A proactive approach to identifying and addressing challenges in data workflows. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Job Title: Data Engineer Experience: 1 - 4 Years Location: Bangalore About the Role We are looking for a hands-on, action-oriented Data Engineer who thrives on execution. This role is perfect for someone who enjoys rolling up their sleeves, building robust data pipelines, and delivering solutions that directly impact the business. If you prefer doing over discussing, and value outcomes over process, we want you on our team. Key Responsibilities- Build, deploy, and manage data pipelines using Python and PySpark Develop and optimize ETL/ELT processes to support data integration across systems Work directly with GCP and AWS services to implement scalable cloud-based data solutions Own data workflows end-to-end from ingestion to transformation to storage Continuously monitor and improve pipeline reliability, speed, and data quality Use GenAI and automation tools to speed up development and reduce manual effort Proactively debug, troubleshoot, and resolve data engineering issues Ensure data is available and trustworthy for analytics and downstream systems Deliver high-quality code and documentation with a bias for action Required Skills: Qualifications- Strong proficiency in Python and PySpark Working experience with cloud platforms like GCP and/or AWS Solid understanding of ETL/ELT, data warehouse and data lake concepts. Proficient in working with relational databases—preferably PostgreSQL and MySQL—as well as non-relational databases, with a focus on MongoDB. Driven by delivery and results — you get things done efficiently Self-starter attitude with minimal need for hand-holding Excitement for automating work using GenAI or scripting tools Familiarity with SCD, CDC, Real-time Streaming vs Batch-processing. Nice to Have Experience with CI/CD pipelines and Docker Understanding of data governance and observability Prior experience in fast-paced, execution-heavy teams Why Join Us? High-impact role where execution speed is valued and recognized Freedom to build, ship, and iterate without red tape Work with a lean, high-performing data team Opportunities to innovate with Generative AI tools Fast learning environment and ownership from day one Regards, Aayushi Agrawal

Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or related field Responsibilities : - Design, develop, and maintain high-performance data solutions within the SAP BW/4HANA environment, ensuring data quality and integrity. - Utilize ABAP and AMDP to develop efficient data extraction, transformation, and loading (ETL) processes within SAP BW/4HANA. - Optimize existing data models, data flows, and query performance in SAP BW/4HANA. - Implement and manage data automation workflows using tools such as Automic or similar scheduling platforms. - Support and troubleshoot data pipelines, which may include integration with Hadoop-based systems and other data sources. - Collaborate effectively with international team members across different time zones, participating in meetings and sharing knowledge. - Actively participate in all phases of the project lifecycle, from requirements gathering and design to development, testing, and deployment, utilizing tools like Micro Focus ALM and MF Service Manager for project tracking and issue management. - Write clear and concise technical documentation for developed data solutions and processes. - Work with File Transfer Protocols (e.g., SFTP, FTP) to manage data exchange with various systems. - Utilize collaboration tools such as Jira and Confluence for task management, knowledge sharing, and documentation. - Ensure adherence to data governance policies and standards. - Proactively identify and resolve performance bottlenecks and data quality issues within the SAP BW/4HANA system. - Stay up-to-date with the latest advancements in SAP BW/4HANA, data engineering technologies, and automation tools. - Contribute to the continuous improvement of our data engineering processes and methodologies. Technical Skills : - SAP BW/4HANA : Extensive hands-on experience in designing, developing, and administering SAP BW/4HANA systems, including data modeling (LSA++, virtual data models), data extraction from various sources (SAP and non-SAP), transformations, and loading processes. - ABAP for BW/4HANA : Strong proficiency in ABAP programming, specifically for developing routines, transformations, and other custom logic within SAP BW/4HANA. - AMDP : Solid experience in developing and optimizing data transformations using ABAP Managed Database Procedures (AMDP) for performance enhancement. - Data Engineering Principles : Strong understanding of data warehousing concepts, data modeling techniques, ETL/ELT processes, and data quality principles. - Automation Tools : Hands-on experience with automation tools, preferably Automic, for scheduling and managing data workflows. - Hadoop (Beneficial) : Familiarity with Hadoop ecosystems and technologies (e.g., HDFS, Hive, Spark) and experience integrating with SAP BW/4HANA is a plus. - File Transfer Protocols : Experience working with various file transfer protocols (e.g., SFTP, FTP, HTTPS) for data exchange. - SQL : Strong SQL skills for data querying and analysis. - SAP BW Query Designer and BEx Analyzer (Beneficial) : Experience with SAP BW Query Designer and BEx Analyzer for creating and troubleshooting reports is a plus. - SAP HANA (Underlying Database) : Good understanding of SAP HANA as the underlying database for SAP BW/4HANA. Functional Skills : - Strong analytical and problem-solving skills with the ability to translate business requirements into technical data solutions. - Excellent communication skills, both written and verbal, with the ability to effectively communicate with technical and non-technical stakeholders in an international setting. - Proven ability to collaborate effectively within a geographically distributed team. - Experience working with project management tools like Micro Focus ALM and MF Service Manager for issue tracking and project lifecycle management. - Familiarity with collaboration tools such as Jira and Confluence. - Ability to work independently and manage tasks effectively in a remote environment. - Adaptability to different cultural norms and communication styles within a global team. Qualifications : - Bachelors or Masters Degree in Computer Science, Information Technology, Data Science, or a related field. - 5-10 years of professional experience as a Data Engineer with a focus on SAP BW/4HANA. - Proven track record of successful implementation and support of SAP BW/4HANA data solutions. - Strong understanding of data warehousing principles and best practices. - Excellent communication and collaboration skills in an international environment. Bonus Points : - SAP BW/4HANA certification. - Experience with other data warehousing technologies. - Knowledge of SAP Analytics Cloud (SAC) and its integration with SAP BW/4HANA. - Experience with agile development methodologies

Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or related field Responsibilities : - Design, develop, and maintain high-performance data solutions within the SAP BW/4HANA environment, ensuring data quality and integrity. - Utilize ABAP and AMDP to develop efficient data extraction, transformation, and loading (ETL) processes within SAP BW/4HANA. - Optimize existing data models, data flows, and query performance in SAP BW/4HANA. - Implement and manage data automation workflows using tools such as Automic or similar scheduling platforms. - Support and troubleshoot data pipelines, which may include integration with Hadoop-based systems and other data sources. - Collaborate effectively with international team members across different time zones, participating in meetings and sharing knowledge. - Actively participate in all phases of the project lifecycle, from requirements gathering and design to development, testing, and deployment, utilizing tools like Micro Focus ALM and MF Service Manager for project tracking and issue management. - Write clear and concise technical documentation for developed data solutions and processes. - Work with File Transfer Protocols (e.g., SFTP, FTP) to manage data exchange with various systems. - Utilize collaboration tools such as Jira and Confluence for task management, knowledge sharing, and documentation. - Ensure adherence to data governance policies and standards. - Proactively identify and resolve performance bottlenecks and data quality issues within the SAP BW/4HANA system. - Stay up-to-date with the latest advancements in SAP BW/4HANA, data engineering technologies, and automation tools. - Contribute to the continuous improvement of our data engineering processes and methodologies. Technical Skills : - SAP BW/4HANA : Extensive hands-on experience in designing, developing, and administering SAP BW/4HANA systems, including data modeling (LSA++, virtual data models), data extraction from various sources (SAP and non-SAP), transformations, and loading processes. - ABAP for BW/4HANA : Strong proficiency in ABAP programming, specifically for developing routines, transformations, and other custom logic within SAP BW/4HANA. - AMDP : Solid experience in developing and optimizing data transformations using ABAP Managed Database Procedures (AMDP) for performance enhancement. - Data Engineering Principles : Strong understanding of data warehousing concepts, data modeling techniques, ETL/ELT processes, and data quality principles. - Automation Tools : Hands-on experience with automation tools, preferably Automic, for scheduling and managing data workflows. - Hadoop (Beneficial) : Familiarity with Hadoop ecosystems and technologies (e.g., HDFS, Hive, Spark) and experience integrating with SAP BW/4HANA is a plus. - File Transfer Protocols : Experience working with various file transfer protocols (e.g., SFTP, FTP, HTTPS) for data exchange. - SQL : Strong SQL skills for data querying and analysis. - SAP BW Query Designer and BEx Analyzer (Beneficial) : Experience with SAP BW Query Designer and BEx Analyzer for creating and troubleshooting reports is a plus. - SAP HANA (Underlying Database) : Good understanding of SAP HANA as the underlying database for SAP BW/4HANA. Functional Skills : - Strong analytical and problem-solving skills with the ability to translate business requirements into technical data solutions. - Excellent communication skills, both written and verbal, with the ability to effectively communicate with technical and non-technical stakeholders in an international setting. - Proven ability to collaborate effectively within a geographically distributed team. - Experience working with project management tools like Micro Focus ALM and MF Service Manager for issue tracking and project lifecycle management. - Familiarity with collaboration tools such as Jira and Confluence. - Ability to work independently and manage tasks effectively in a remote environment. - Adaptability to different cultural norms and communication styles within a global team. Qualifications : - Bachelors or Masters Degree in Computer Science, Information Technology, Data Science, or a related field. - 5-10 years of professional experience as a Data Engineer with a focus on SAP BW/4HANA. - Proven track record of successful implementation and support of SAP BW/4HANA data solutions. - Strong understanding of data warehousing principles and best practices. - Excellent communication and collaboration skills in an international environment. Bonus Points : - SAP BW/4HANA certification. - Experience with other data warehousing technologies. - Knowledge of SAP Analytics Cloud (SAC) and its integration with SAP BW/4HANA. - Experience with agile development methodologies

Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or related field Responsibilities : - Design, develop, and maintain high-performance data solutions within the SAP BW/4HANA environment, ensuring data quality and integrity. - Utilize ABAP and AMDP to develop efficient data extraction, transformation, and loading (ETL) processes within SAP BW/4HANA. - Optimize existing data models, data flows, and query performance in SAP BW/4HANA. - Implement and manage data automation workflows using tools such as Automic or similar scheduling platforms. - Support and troubleshoot data pipelines, which may include integration with Hadoop-based systems and other data sources. - Collaborate effectively with international team members across different time zones, participating in meetings and sharing knowledge. - Actively participate in all phases of the project lifecycle, from requirements gathering and design to development, testing, and deployment, utilizing tools like Micro Focus ALM and MF Service Manager for project tracking and issue management. - Write clear and concise technical documentation for developed data solutions and processes. - Work with File Transfer Protocols (e.g., SFTP, FTP) to manage data exchange with various systems. - Utilize collaboration tools such as Jira and Confluence for task management, knowledge sharing, and documentation. - Ensure adherence to data governance policies and standards. - Proactively identify and resolve performance bottlenecks and data quality issues within the SAP BW/4HANA system. - Stay up-to-date with the latest advancements in SAP BW/4HANA, data engineering technologies, and automation tools. - Contribute to the continuous improvement of our data engineering processes and methodologies. Technical Skills : - SAP BW/4HANA : Extensive hands-on experience in designing, developing, and administering SAP BW/4HANA systems, including data modeling (LSA++, virtual data models), data extraction from various sources (SAP and non-SAP), transformations, and loading processes. - ABAP for BW/4HANA : Strong proficiency in ABAP programming, specifically for developing routines, transformations, and other custom logic within SAP BW/4HANA. - AMDP : Solid experience in developing and optimizing data transformations using ABAP Managed Database Procedures (AMDP) for performance enhancement. - Data Engineering Principles : Strong understanding of data warehousing concepts, data modeling techniques, ETL/ELT processes, and data quality principles. - Automation Tools : Hands-on experience with automation tools, preferably Automic, for scheduling and managing data workflows. - Hadoop (Beneficial) : Familiarity with Hadoop ecosystems and technologies (e.g., HDFS, Hive, Spark) and experience integrating with SAP BW/4HANA is a plus. - File Transfer Protocols : Experience working with various file transfer protocols (e.g., SFTP, FTP, HTTPS) for data exchange. - SQL : Strong SQL skills for data querying and analysis. - SAP BW Query Designer and BEx Analyzer (Beneficial) : Experience with SAP BW Query Designer and BEx Analyzer for creating and troubleshooting reports is a plus. - SAP HANA (Underlying Database) : Good understanding of SAP HANA as the underlying database for SAP BW/4HANA. Functional Skills : - Strong analytical and problem-solving skills with the ability to translate business requirements into technical data solutions. - Excellent communication skills, both written and verbal, with the ability to effectively communicate with technical and non-technical stakeholders in an international setting. - Proven ability to collaborate effectively within a geographically distributed team. - Experience working with project management tools like Micro Focus ALM and MF Service Manager for issue tracking and project lifecycle management. - Familiarity with collaboration tools such as Jira and Confluence. - Ability to work independently and manage tasks effectively in a remote environment. - Adaptability to different cultural norms and communication styles within a global team. Qualifications : - Bachelors or Masters Degree in Computer Science, Information Technology, Data Science, or a related field. - 5-10 years of professional experience as a Data Engineer with a focus on SAP BW/4HANA. - Proven track record of successful implementation and support of SAP BW/4HANA data solutions. - Strong understanding of data warehousing principles and best practices. - Excellent communication and collaboration skills in an international environment. Bonus Points : - SAP BW/4HANA certification. - Experience with other data warehousing technologies. - Knowledge of SAP Analytics Cloud (SAC) and its integration with SAP BW/4HANA. - Experience with agile development methodologies

USEReady helps businesses to be self-reliant on data. Growing over 3000% since inception, USEReady achieved #113 rank in Inc 500 2015 and honoured top 100 companies in North America 2015 by Red Herring. USEReady is built on strong entrepreneurial spirit with unprecedented opportunities for career growth. At USEReady, we believe in achieving career growth while improving our individual competencies. If you desire to be part of a team that believes in mutual success and inspiration, you are welcome to apply. USEReady is a data and analytics firm that provides the strategies, tools, capability, and capacity that businesses need to turn their data into a competitive advantage. USEReady partners with cloud and data ecosystem leaders like Tableau, Salesforce, Snowflake and Amazon Web Services, and has been named Tableau partner of the year multiple times. We have been nominated and won several awards along this journey. Check us out at www.useready.com Role Overview: We are seeking a seasoned Delivery Manager with 20+ years of experience in IT services and at least a decade leading enterprise-scale data and analytics initiatives. The ideal candidate has a proven track record of managing large, distributed teams across Data Engineering, Data Science, BI/Analytics, Cloud, and DevOps, and delivering complex programs with strategic client engagement. This is a leadership role requiring strong operational control, client relationship management, and a deep understanding of the data ecosystem. Key Responsibilities: Lead delivery across a portfolio of large-scale, multi-stream data projects with global clients. Serve as a strategic advisor to CXOs and senior stakeholders, aligning data programs with business objectives. Oversee project governance, execution frameworks, delivery health, and budget adherence. Manage and mentor delivery leads, architects, and senior technical staff across geographies. Collaborate with cross-functional teams to ensure seamless delivery: Data Engineering, BI, AI/ML, Cloud, and DevOps. Drive continuous improvement, innovation, and operational excellence across delivery operations. Support pre-sales, RFPs, and account growth in collaboration with sales and solutioning teams. Mitigate delivery risks, resolve escalations, and ensure client satisfaction at all levels. Required Experience: 15+ years of experience in IT services with at least 10+ years in delivery leadership roles. Any domain expertise in major industry verticals like Finance, Healthcare, Manufacturing, Oil Gas, will be a huge plus. Proven expertise managing end-to-end delivery of complex data and analytics programs. Strong understanding of: Data Engineering (ETL/ELT, Data Lakes/Warehouses, DataOps) Data Science & AI/ML (model development and operationalization) BI/Visualization (Power BI, Tableau, Looker) Cloud & DevOps (AWS, Azure, GCP, IaC, CI/CD pipelines) Experience with global delivery models, distributed agile teams, and enterprise transformation. Excellent communication, negotiation, and stakeholder management skills. PMP, SAFe, ITIL, or other delivery/process certifications preferred. Preferred Qualifications: Executive presence with experience reporting to or working with senior client leadership (CIOs, CDOs, CTOs). Strong business acumen with an ability to connect data initiatives to measurable business value. What We Offer: Leadership role in a rapidly growing, innovation-driven analytics company. Opportunity to lead strategic programs for global enterprise clients. Competitive compensation, executive perks, and performance incentives. Culture of empowerment, collaboration, and continuous learning.

Job Title: Data Engineer Overview: As a Senior Data Engineer, you will play a pivotal role in designing, implementing, and maintaining the data infrastructure of our organization. You will be responsible for developing robust data pipelines, optimizing data workflows, and ensuring the reliability and scalability of our data systems. Collaboration with cross-functional teams including data scientists, software engineers, and business analysts will be essential to drive data-driven decision-making and support various business initiatives. Responsibilities: 1. Data Pipeline Development: - Design, build, and maintain scalable data pipelines to ingest, process, and transform large volumes of structured and unstructured data from diverse sources. - Implement efficient ETL (Extract, Transform, Load) processes to ensure timely and accurate data delivery to downstream systems. - Optimize data workflows for performance, reliability, and cost-effectiveness, leveraging technologies such as Apache Spark, Kafka, or similar distributed computing frameworks. 2. Data Modeling and Architecture: - Develop and maintain data models, schemas, and metadata to support analytical and reporting requirements. - Design and optimize data storage solutions including relational databases, NoSQL databases, data lakes, and data warehouses. - Collaborate with data architects and infrastructure teams to ensure alignment with overall data architecture and best practices. 3. Data Quality and Governance: - Implement data quality checks and validation processes to ensure data accuracy, consistency, and completeness. - Establish and enforce data governance policies, standards, and procedures to maintain data integrity and compliance with regulatory requirements. - Monitor data pipelines and proactively identify and resolve data quality issues or anomalies. 4. Performance Tuning and Optimization: - Identify performance bottlenecks in data processing and storage systems and implement optimizations to improve throughput, latency, and resource utilization. - Conduct capacity planning and scalability assessments to support growing data volumes and user demands. - Collaborate with infrastructure teams to fine-tune hardware configurations and cloud resources for optimal performance. 5. Collaboration and Communication: - Work closely with cross-functional teams including data scientists, software engineers, business analysts, and product managers to understand data requirements and deliver data solutions that meet business needs. - Communicate effectively with stakeholders to gather requirements, provide project updates, and present insights derived from data analysis. - Mentor junior data engineers and provide technical guidance and support as needed. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 9+ years of experience in data engineering roles, with a proven track record of designing and implementing data solutions at scale. - Proficiency in programming languages such as Python, Java, or Scala, with experience in building data pipelines using frameworks like Apache Spark, Apache Beam, or similar. - Strong SQL skills and experience working with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). - Hands-on experience with cloud platforms such as AWS, GCP, or Azure, including services like S3, EC2, EMR, Dataflow, BigQuery, or equivalent. - Solid understanding of data modeling concepts, data warehousing principles, and ETL best practices. - Familiarity with data governance frameworks, data quality tools, and regulatory requirements (e.g., GDPR, HIPAA). - Excellent problem-solving skills and the ability to work effectively in a fast-paced, dynamic environment. - Strong communication and collaboration skills, with the ability to interact with stakeholders at all levels of the organization. Additional Preferred Skills: - Experience with containerization and orchestration tools such as Docker, Kubernetes. - Knowledge of stream processing frameworks like Apache Kafka, Apache Flink, or similar. - Familiarity with machine learning and data science concepts. - Certification in relevant technologies or cloud platforms (e.g., AWS Certified Big Data - Specialty, Google Professional Data Engineer).

Position Overview We are seeking a skilled and motivated Data Engineer to join our dynamic team at Palantir Foundry in Bangalore . As a Data Engineer, you will play a crucial role in designing, building, and maintaining robust data pipelines and architectures that support our data-driven decision-making processes. This is an exciting opportunity for individuals with a passion for data engineering and a desire to work with cutting-edge technologies. Key Responsibilities Design, develop, and maintain scalable data pipelines to process large volumes of data efficiently. Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions. Implement data integration processes using Palantir Foundry and other relevant tools. Optimize data storage and retrieval processes to enhance performance and reduce costs. Ensure data quality and integrity through rigorous testing and validation procedures. Monitor and troubleshoot data pipeline performance, implementing improvements as necessary. Stay updated with the latest industry trends and technologies in data engineering. Qualifications The ideal candidate will possess the following qualifications: Experience: 5 to 10 years of relevant work experience in data engineering or a related field. Technical Skills: Proficiency in Python and Apache Spark for data processing and analysis. Familiarity with Palantir Foundry: Experience working with Palantir Foundry is highly desirable. Data Engineering Expertise: Strong understanding of data modeling, ETL processes, and data warehousing concepts. Problem-Solving Skills: Ability to analyze complex data challenges and develop effective solutions. Team Player: Excellent collaboration and communication skills to work effectively within a team environment. This is a full-time position with a day schedule and requires on-site work in our Bangalore office. We offer a competitive annual salary of 20,00,000 and the opportunity to be part of a forward-thinking organization that values innovation and excellence. If you are passionate about data engineering and eager to contribute to impactful projects, we encourage you to apply for this exciting opportunity. Join us in shaping the future of data at Palantir Foundry!

Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or related field Responsibilities : - Design, develop, and maintain high-performance data solutions within the SAP BW/4HANA environment, ensuring data quality and integrity. - Utilize ABAP and AMDP to develop efficient data extraction, transformation, and loading (ETL) processes within SAP BW/4HANA. - Optimize existing data models, data flows, and query performance in SAP BW/4HANA. - Implement and manage data automation workflows using tools such as Automic or similar scheduling platforms. - Support and troubleshoot data pipelines, which may include integration with Hadoop-based systems and other data sources. - Collaborate effectively with international team members across different time zones, participating in meetings and sharing knowledge. - Actively participate in all phases of the project lifecycle, from requirements gathering and design to development, testing, and deployment, utilizing tools like Micro Focus ALM and MF Service Manager for project tracking and issue management. - Write clear and concise technical documentation for developed data solutions and processes. - Work with File Transfer Protocols (e.g., SFTP, FTP) to manage data exchange with various systems. - Utilize collaboration tools such as Jira and Confluence for task management, knowledge sharing, and documentation. - Ensure adherence to data governance policies and standards. - Proactively identify and resolve performance bottlenecks and data quality issues within the SAP BW/4HANA system. - Stay up-to-date with the latest advancements in SAP BW/4HANA, data engineering technologies, and automation tools. - Contribute to the continuous improvement of our data engineering processes and methodologies. Technical Skills : - SAP BW/4HANA : Extensive hands-on experience in designing, developing, and administering SAP BW/4HANA systems, including data modeling (LSA++, virtual data models), data extraction from various sources (SAP and non-SAP), transformations, and loading processes. - ABAP for BW/4HANA : Strong proficiency in ABAP programming, specifically for developing routines, transformations, and other custom logic within SAP BW/4HANA. - AMDP : Solid experience in developing and optimizing data transformations using ABAP Managed Database Procedures (AMDP) for performance enhancement. - Data Engineering Principles : Strong understanding of data warehousing concepts, data modeling techniques, ETL/ELT processes, and data quality principles. - Automation Tools : Hands-on experience with automation tools, preferably Automic, for scheduling and managing data workflows. - Hadoop (Beneficial) : Familiarity with Hadoop ecosystems and technologies (e.g., HDFS, Hive, Spark) and experience integrating with SAP BW/4HANA is a plus. - File Transfer Protocols : Experience working with various file transfer protocols (e.g., SFTP, FTP, HTTPS) for data exchange. - SQL : Strong SQL skills for data querying and analysis. - SAP BW Query Designer and BEx Analyzer (Beneficial) : Experience with SAP BW Query Designer and BEx Analyzer for creating and troubleshooting reports is a plus. - SAP HANA (Underlying Database) : Good understanding of SAP HANA as the underlying database for SAP BW/4HANA. Functional Skills : - Strong analytical and problem-solving skills with the ability to translate business requirements into technical data solutions. - Excellent communication skills, both written and verbal, with the ability to effectively communicate with technical and non-technical stakeholders in an international setting. - Proven ability to collaborate effectively within a geographically distributed team. - Experience working with project management tools like Micro Focus ALM and MF Service Manager for issue tracking and project lifecycle management. - Familiarity with collaboration tools such as Jira and Confluence. - Ability to work independently and manage tasks effectively in a remote environment. - Adaptability to different cultural norms and communication styles within a global team. Qualifications : - Bachelors or Masters Degree in Computer Science, Information Technology, Data Science, or a related field. - 5-10 years of professional experience as a Data Engineer with a focus on SAP BW/4HANA. - Proven track record of successful implementation and support of SAP BW/4HANA data solutions. - Strong understanding of data warehousing principles and best practices. - Excellent communication and collaboration skills in an international environment. Bonus Points : - SAP BW/4HANA certification. - Experience with other data warehousing technologies. - Knowledge of SAP Analytics Cloud (SAC) and its integration with SAP BW/4HANA. - Experience with agile development methodologies

Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or related field Responsibilities : - Design, develop, and maintain high-performance data solutions within the SAP BW/4HANA environment, ensuring data quality and integrity. - Utilize ABAP and AMDP to develop efficient data extraction, transformation, and loading (ETL) processes within SAP BW/4HANA. - Optimize existing data models, data flows, and query performance in SAP BW/4HANA. - Implement and manage data automation workflows using tools such as Automic or similar scheduling platforms. - Support and troubleshoot data pipelines, which may include integration with Hadoop-based systems and other data sources. - Collaborate effectively with international team members across different time zones, participating in meetings and sharing knowledge. - Actively participate in all phases of the project lifecycle, from requirements gathering and design to development, testing, and deployment, utilizing tools like Micro Focus ALM and MF Service Manager for project tracking and issue management. - Write clear and concise technical documentation for developed data solutions and processes. - Work with File Transfer Protocols (e.g., SFTP, FTP) to manage data exchange with various systems. - Utilize collaboration tools such as Jira and Confluence for task management, knowledge sharing, and documentation. - Ensure adherence to data governance policies and standards. - Proactively identify and resolve performance bottlenecks and data quality issues within the SAP BW/4HANA system. - Stay up-to-date with the latest advancements in SAP BW/4HANA, data engineering technologies, and automation tools. - Contribute to the continuous improvement of our data engineering processes and methodologies. Technical Skills : - SAP BW/4HANA : Extensive hands-on experience in designing, developing, and administering SAP BW/4HANA systems, including data modeling (LSA++, virtual data models), data extraction from various sources (SAP and non-SAP), transformations, and loading processes. - ABAP for BW/4HANA : Strong proficiency in ABAP programming, specifically for developing routines, transformations, and other custom logic within SAP BW/4HANA. - AMDP : Solid experience in developing and optimizing data transformations using ABAP Managed Database Procedures (AMDP) for performance enhancement. - Data Engineering Principles : Strong understanding of data warehousing concepts, data modeling techniques, ETL/ELT processes, and data quality principles. - Automation Tools : Hands-on experience with automation tools, preferably Automic, for scheduling and managing data workflows. - Hadoop (Beneficial) : Familiarity with Hadoop ecosystems and technologies (e.g., HDFS, Hive, Spark) and experience integrating with SAP BW/4HANA is a plus. - File Transfer Protocols : Experience working with various file transfer protocols (e.g., SFTP, FTP, HTTPS) for data exchange. - SQL : Strong SQL skills for data querying and analysis. - SAP BW Query Designer and BEx Analyzer (Beneficial) : Experience with SAP BW Query Designer and BEx Analyzer for creating and troubleshooting reports is a plus. - SAP HANA (Underlying Database) : Good understanding of SAP HANA as the underlying database for SAP BW/4HANA. Functional Skills : - Strong analytical and problem-solving skills with the ability to translate business requirements into technical data solutions. - Excellent communication skills, both written and verbal, with the ability to effectively communicate with technical and non-technical stakeholders in an international setting. - Proven ability to collaborate effectively within a geographically distributed team. - Experience working with project management tools like Micro Focus ALM and MF Service Manager for issue tracking and project lifecycle management. - Familiarity with collaboration tools such as Jira and Confluence. - Ability to work independently and manage tasks effectively in a remote environment. - Adaptability to different cultural norms and communication styles within a global team. Qualifications : - Bachelors or Masters Degree in Computer Science, Information Technology, Data Science, or a related field. - 5-10 years of professional experience as a Data Engineer with a focus on SAP BW/4HANA. - Proven track record of successful implementation and support of SAP BW/4HANA data solutions. - Strong understanding of data warehousing principles and best practices. - Excellent communication and collaboration skills in an international environment. Bonus Points : - SAP BW/4HANA certification. - Experience with other data warehousing technologies. - Knowledge of SAP Analytics Cloud (SAC) and its integration with SAP BW/4HANA. - Experience with agile development methodologies