23 Uddi Jobs

1. DB2 UDB Installation & Applying fixpak 2. Excellent knowledge for Performance Tuning 3. Database Sizing and Capacity Planning 4. Database Creation and DBM & DB CFG setting 5. Locking Concept 6. Security & Authentication 7. Well verse with physical & Logical Database partitioning features 8. Strong Knowledge in Database backup & restoration 9. Strong knowledge of db2pd, snapshot monitors & event monitor tool for troubleshooting. 10. Should have in depth knowledge to find the slow response of servers, database etc. 11. Strong communication skills and good follow-ups. 12. Strong knowledge for data movement tools. 13. Good knowledge of federated database. 14. Good knowledge on shell scripting

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 4+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies.

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 7+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies.

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 6+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies.

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 5+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies.

Detailed job description - Skill Set: Technically strong hands-on Self-driven Good client communication skills Able to work independently and good team player Flexible to work in PST hour(overlap for some hours) Past development experience for Cisco client is preferred.

Dear Candidate, We are looking for an experienced Salesforce Developer to design, customize, and develop CRM solutions. If you have expertise in Salesforce Apex, Lightning, and integrations, wed love to hear from you! Key Responsibilities: Develop and maintain custom Salesforce applications and workflows. Configure Salesforce objects, fields, and automation (Flows, Process Builder). Write Apex classes, triggers, and Lightning components. Integrate Salesforce with third-party applications via APIs. Perform Salesforce administration, security setup, and user management. Ensure Salesforce solutions align with business requirements. Required Skills & Qualifications: Hands-on experience with Salesforce development (Apex, Visualforce, LWC). Knowledge of Salesforce data models, security, and permissions. Experience with REST/SOAP APIs for Salesforce integrations. Familiarity with CI/CD tools for Salesforce deployment. Salesforce Developer or Administrator certification is a plus. Soft Skills: Strong problem-solving and debugging skills. Excellent communication and collaboration abilities. Detail-oriented with a proactive mindset. Note: If interested, please share your updated resume and your preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Oracle SOA 12C,Designing and developing Oracle SOA composite applications using BPEL,Integrating applications using Web Services (SOAP/REST) and XML,Oracle SOA Suite 12c, BPEL, XML, and Web Services.

Your Role Good experience in Administering; Maintaining DB2 databases Experience in Install; Upgrade of DB2 UDB and Fix pack on Unix and Windows machineTaking database Backups and recovering the database using db2 Backup; Restore utilities Expertise in database upgradations from older to newer version of LUW databases Experience in Database restores including Redirected restores within production; test and development environment Experience in scheduling Backup scripts using Cron Jobs in Unix Environment and in DB2 UDB Command Line Utilities.Experience in maintenance of databases; performance testing; archiving and troubleshooting. Your Profile 4-12 years of experience on DB2 Database Administration Experience on snapshot/lock wait issuesPreferred to have knowledge on designing Flows; Sub Flows; and Exception handling strategies; Data Weave transformation and Mule Expression Language(MEL) Experience in SQL Tuning using db2advisor and db2explain tools Knowledge on DB2 UDB DBA and in Mule ESB; Cloud hub; Any point Platform is preferredHaving knowledge on DB2 DPF environment is preferred Preferable to have knowledge on moving databases from OS platforms and Moving data from database objects to flat files and loading data from flat files to database objects using Data Movement Utilities like Export & Import What will you love working at Capgemini Keeping up with the latest DB2 features, best practices, and security updates. Clear career progression paths from L2 support to architecture and consulting roles Be part of mission-critical projects that secure and optimize networks for Fortune 500 clients. Thrive in a diverse, inclusive, and respectful environment that values your voice and ideas as well work in agile, cross-functional teams with opportunities to lead and mentor. Location - Bengaluru,Coimbatore,Gurugram,Hyderabad,Noida,Mumbai,Pune,Chennai

OracleSOA,12C,BPEL,XML,Suite12c,Webservices,XSD,WSDL,SOAP,UDDI,WSDL,XSD,Xpath,XSLT,Mulesoft,OIC,Java,sql,pl/sql

Good Understanding of Transport processes (Freight Units, Freight Orders, Freight Settlement Documents, etc..) documents and relevant technical objects BOPF : Report Programming, Enhancing Business Objects PPF: Post processing Framework Enhancing Business object tables, POWL TM Optimiser, FPM (Floor Plan Manager), FBI (FPM BOPF Integration) Linking ECC & TM & EWM Systems SCWM framework for LUW Object-Oriented Programming Forms: Adobe Forms and ArchiveLink Location - Chandigarh,Dadra & Nagar Haveli,Daman,Diu,Goa,Haveli,Hyderabad,Jammu,Lakshadweep,Nagar,New Delhi,Puducherry,Sikkim

DB2 DBA with exp range 6-10 Years detail JD below Daily management, maintenance, monitoring, tuning and support for DB2 v9.0 and V9.5 databases in UNIX environment (RHEL 5.0 to RHEL 7.2) and windows platforms. Perform database software installations including database creation, configuration and applying fix packs and migration of databases as per the Patch Applicability Matrix. Performing weekly offline backups and daily online backups to Disks/TSM and tapes using scripts and manual methods. Responsible for application SQL Query tuning, database parameter tuning, operating system tuning, memory tuning. Database Backup/Recovery on databases and file system backups. Redirect Restore to move application from Development, QA and Production. Implementing purging policies over the database servers as per the customer data retention periods. Installation and configuration of HADR/HACMP on standalone, DB2 pureScale and DPF DB2 servers and performing failover on yearly basis. Efficiently carried out DBA responsibilities in planning DB2 version migration activities, in migration phases and in performing post migration tasks Daily and weekly database Maintenance and data movement activities such as backup, reorgchk, reorg, run stats, export, import, load and all related activities for OLAP database. Provide on-call support in adherence to specific business and customer Service Level Agreements. Managed database instances for Consolidated Online trading system in DB2 UDB in version 9.7/10.1/v10.5/11.1 on AIX 6.1 and Linux (RHEL 7) servers. Managed large, mission-critical databases. Interpreted business requirements and recommended solutions. Installation and configuration of DB2 Database servers for standalone and DPF environments in Linux and AIX operating systems. Performing table space re-balancing for ensuring the equal data distribution across all the data mounts and applying compress methods on tables for storage savings. Designing appropriate Database configuration parameters and tuning buffer pools for better optimised database performance. Separating the file systems enforced the UDB database standard practice and it also simplified table space and file system maintenance Managing DB2 Security by implementing patch management, password management, license management and GSD across all servers. Interact with the System Administrator for database issues including capacity planning, such as installation and configuration of new disks on Unix Systems. Responsible for searching various DB2 Fix Packs for v9.7 and v10.5/11.1 and providing assessment about these Fix Packs to the upper management. Accordingly applying various Fix Packs to v9.7 and v10.5/11.1 database servers. Performing weekly offline and daily online backups and restore functions using Symantec Net Backup. Redirect restored test databases with production databases. Moved databases from one server to another or from existing file systems to new file systems. Daily activities include removing deadlocks, transaction log resolution, bottle necks, dropping & re creating staging tables, optimizing complex queries using explain/db2exfmt. Deployed various scripts on production servers- Backup/Runstats/Log collection/Archive logs/Locking/WLM/Health Check/Audit log /High water mark/Diagnostic log/Transaction log/Migration from 9.7 to 10.5.x/11.x. through script. DB2 pureScale Skills . Backup, restore, and roll forward operations A) Instance monitoring B) Database alert management C) Database storage management D) Access management E) Remote installation and configuration of the Db2 pureScale Feature F) Creation and deletion of computing resources G) Addition and removal of hosts from the cluster manager and shared file system H) Host system maintenance I) Topology changes (add or drop members) J) Topology changes (add or drop CFs) K) Backup, restore, and rollforward operations within Db2 pureScale Feature If you are interested, please Share below details and Updated Resume Matched First Name Last Name Date of Birth Pass Port No and Expiry Date (Mandatory ) Alternate Contact Number Total Experience Relevant Experience Current CTC Expected CTC Current Location Preferred Location Current Organization Payroll Company Notice period Holding any offer

Employee type : C2H Daily management, maintenance, monitoring, tuning and support for DB2 v9.0 and V9.5 databases in UNIX environment (RHEL 5.0 to RHEL 7.2) and windows platforms. Perform database software installations including database creation, configuration and applying fix packs and migration of databases as per the Patch Applicability Matrix. Performing weekly offline backups and daily online backups to Disks/TSM and tapes using scripts and manual methods. Responsible for application SQL Query tuning, database parameter tuning, operating system tuning, memory tuning. Database Backup/Recovery on databases and file system backups. Redirect Restore to move application from Development, QA and Production. Implementing purging policies over the database servers as per the customer data retention periods. Installation and configuration of HADR/HACMP on standalone, DB2 pureScale and DPF DB2 servers and performing failover on yearly basis. Efficiently carried out DBA responsibilities in planning DB2 version migration activities, in migration phases and in performing post migration tasks Daily and weekly database Maintenance and data movement activities such as backup, reorgchk, reorg, run stats, export, import, load and all related activities for OLAP database. Provide on-call support in adherence to specific business and customer Service Level Agreements. Managed database instances for Consolidated Online trading system in DB2 UDB in version 9.7/10.1/v10.5/11.1 on AIX 6.1 and Linux (RHEL 7) servers. Managed large, mission-critical databases. Interpreted business requirements and recommended solutions. Installation and configuration of DB2 Database servers for standalone and DPF environments in Linux and AIX operating systems. Performing table space re-balancing for ensuring the equal data distribution across all the data mounts and applying compress methods on tables for storage savings. Designing appropriate Database configuration parameters and tuning buffer pools for better optimised database performance. Separating the file systems enforced the UDB database standard practice and it also simplified table space and file system maintenance Managing DB2 Security by implementing patch management, password management, license management and GSD across all servers. Interact with the System Administrator for database issues including capacity planning, such as installation and configuration of new disks on Unix Systems. Responsible for searching various DB2 Fix Packs for v9.7 and v10.5/11.1 and providing assessment about these Fix Packs to the upper management. Accordingly applying various Fix Packs to v9.7 and v10.5/11.1 database servers. Performing weekly offline and daily online backups and restore functions using Symantec Net Backup. Redirect restored test databases with production databases. Moved databases from one server to another or from existing file systems to new file systems.. Daily activities include removing deadlocks, transaction log resolution, bottle necks, dropping & re creating staging tables, optimizing complex queries using explain/db2exfmt. Deployed various scripts on production servers- Backup/Runstats/Log collection/Archive logs/Locking/WLM/Health Check/Audit logHigh water mark/Diagnostic log/Transaction log/Migration from 9.7 to 10.5.x/11.x. through script. DB2 pureScale Skills .. Backup, restore, and roll forward operations A) Instance monitoring B) Database alert management C) Database storage management D) Access management E) Remote installation and configuration of the Db2 pureScale Feature F) Creation and deletion of computing resources G) Addition and removal of hosts from the cluster manager and shared file system H) Host system maintenance I) Topology changes (add or drop members) J) Topology changes (add or drop CFs) K) Backup, restore, and rollforward operations within Db2 pureScale Feature

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 4+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

As Consutant, you are responsibe to deveop design of appication, provide reguar support/guidance to project teams on compex coding, issue resoution and execution. Your primary responsibiities incude: Lead the design and construction of new mobie soutions using the atest technoogies, aways ooking to add business vaue and meet user requirements. Strive for continuous improvements by testing the buid soution and working under an agie framework. Discover and impement the atest technoogies trends to maximize and buid creative soutions Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Tota experience of 3-5 years Mandatory Skis: LUW/Unix DB2 DBA ,She Scripting, Linux and AIX knowedge Secondary Skis: Physica DB2 DBA skis, PL/SQL Knowedge and exposure Expert knowedge of IBM DB2 V11.5 instaations, configurations administration in Linux /AIX systems. Expert eve knowedge in Database restores incuding redirected restore backup concepts Preferred technica and professiona experience Good knowedge of utiities ike import, oad export under high voume conditions. Abiity to tune SQLs using db2advisor db2expain. Abiity to troubeshoot database issues using db2diag, db2pd, db2dart, db2top tec

As Consutant, you are responsibe to deveop design of appication, provide reguar support/guidance to project teams on compex coding, issue resoution and execution. Your primary responsibiities incude: Lead the design and construction of new mobie soutions using the atest technoogies, aways ooking to add business vaue and meet user requirements. Strive for continuous improvements by testing the buid soution and working under an agie framework. Discover and impement the atest technoogies trends to maximize and buid creative soutions. Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Mandatory Skis: LUW/Unix DB2 DBA ,She Scripting, Linux and AIX knowedge Secondary Skis: Physica DB2 DBA skis, PL/SQL Knowedge and exposure Expert knowedge of IBM DB2 V11.5 instaations, configurations administration in Linux /AIX systems. Expert eve knowedge in Database restores incuding redirected restore backup concepts. Exceent understanding of database performance monitoring techniques, fine tuning and abe to perform performance checks query optimization Preferred technica and professiona experience Good knowedge of utiities ike import, oad export under high voume conditions. Abiity to tune SQLs using db2advisor db2expain. Abiity to troubeshoot database issues using db2diag, db2pd, db2dart, db2top tec.

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 5+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 8+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 6+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Our Company We re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world s potential. We re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what s now to what s next. We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don t expect you to fit every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job Role We are seeking an experienced and highly skilled Workday Integration Consultant with 5 to 9 years of expertise in Workday Integration Implementation. The ideal candidate will possess a strong background in Workday integration tools, including Workday EIB, Studio, CCW, PICOF, WECI, and PECI. The role requires experience in end-to-end Workday implementation, a basic understanding of Workday functionality, and an ability to deliver effective solutions for our clients. The candidate must also demonstrate strong communication, problem-solving, and project management skills. Key Responsibilities: Lead and contribute to Workday integration projects, ensuring successful implementation and configuration. Manage end-to-end Workday integrations, from requirements gathering and design to testing and deployment. Leverage Workday integration technologies (EIB, Studio, CCW, PICOF, WECI, PECI) to build and maintain integrations. Collaborate with clients to design and implement business processes and reports within Workday. Utilize web services standards and technologies, such as XML, XSLT, XPath, SOAP, WSDL, XSD, and UDDI, to implement integrations. Understand and manage Core HCM, Reporting, and Security configurations in Workday. Participate in design sessions with clients, providing creative and practical solutions to meet business needs. Maintain strong communication skills, both written and verbal, to convey technical and business information effectively across various audiences. Collaborate with internal teams, clients, and third-party vendors to resolve issues and deliver the best integration solutions. Manage project scope, client expectations, and timely delivery of integration milestones. Skills and Qualifications: Workday Integration Expertise: Minimum of 5 years of hands-on experience building Workday integrations using EIB, Studio, CCW, PICOF, WECI, PECI. Functional Knowledge: Basic understanding of Workday HCM and functional processes. Technical Knowledge: Proficient in web services technologies (XML, XSLT, XPath, SOAP, WSDL, XSD, UDDI). Integration Design Implementation: Demonstrated ability to design, build, and implement integrations, business processes, and reports within Workday. Communication Skills: Strong verbal and written communication skills, with the ability to articulate complex technical issues to diverse stakeholders. Problem-Solving: Creative thinker with the ability to provide innovative solutions to complex integration problems. Project Management: Proven experience in managing client expectations and project timelines. Different Domain Knowledge: Experience with building integrations on Recruitment, Learning, Workforce Planning domain is a plus. Vendor Collaboration: Experience working with third-party vendors is advantageous. About us We re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We re proud to say we re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 7+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 9+ years of experience in database administration and data engineering. Proven expertise in RDBMS ( Oracle , MySQL , and PostgreSQL ) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments ( AWS , Azure , or GCP ). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python , Bash , or PowerShell . DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch , Oracle Enterprise Manager, pgAdmin , Mongo Compass , or Dynatrace . Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL , etc.). Use AWS RDS , Amazon Redshift , Azure SQL Database , or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks ( GDPR , HIPAA , etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis , or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Dear Candidate, We are seeking a skilled and experienced DBA Data Engineer to join our growing data team. The ideal candidate will play a key role in designing, implementing, and maintaining our databases and data pipeline architecture. You will collaborate with software engineers, data analysts, and DevOps teams to ensure efficient data flow, data integrity, and optimal database performance across all systems. This role requires a strong foundation in database administration, SQL performance tuning, data modeling, and experience with both on-prem and cloud-based environments. Requirements: Bachelors degree in Computer Science, Information Systems, or a related field. 8+ years of experience in database administration and data engineering. Proven expertise in RDBMS (Oracle, MySQL, and PostgreSQL) and NoSQL systems (MongoDB, Cassandra). Experience managing databases in cloud environments (AWS, Azure, or GCP). Proficiency in ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, AWS Glue). Strong experience with scripting languages such as Python, Bash, or PowerShell. DBA Data Engineer Roles & Responsibilities: Design and maintain scalable and high-performance database architectures. Monitor and optimize database performance using tools like CloudWatch, Oracle Enterprise Manager, pgAdmin, Mongo Compass, or Dynatrace. Develop and manage ETL/ELT pipelines to support business intelligence and analytics. Ensure data integrity and security through best practices in backup, recovery, and encryption. Automate regular database maintenance tasks using scripting and scheduled jobs. Implement high availability, failover, and disaster recovery strategies. Conduct performance tuning of queries, stored procedures, indexes, and table structures. Collaborate with DevOps to automate database deployments using CI/CD and IaC tools (e.g., Terraform, AWS CloudFormation). Design and implement data models, including star/snowflake schemas for data warehousing. Document data flows, data dictionaries, and database configurations. Manage user access and security policies using IAM roles or database-native permissions. Analyze existing data systems and propose modernization or migration plans (on-prem to cloud, SQL to NoSQL, etc.). Use AWS RDS, Amazon Redshift, Azure SQL Database, or Google BigQuery as needed. Stay up-to-date with emerging database technologies and make recommendations. Must-Have Skills: Deep knowledge of SQL and database performance tuning. Hands-on experience with database migrations and replication strategies. Familiarity with data governance, data quality, and compliance frameworks (GDPR, HIPAA, etc.). Strong problem-solving and troubleshooting skills. Experience with data streaming platforms such as Apache Kafka, AWS Kinesis, or Apache Flink is a plus. Experience with data lake and data warehouse architectures. Excellent communication and documentation skills. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm