ETL Processes Jobs in Hyderabad

Position Title: Data Modeler Location: Hyderabad Department: Data & Analytics Experience Required: 4+ Years Employment Type: Full-Time Company: GSPANN Technologies Job Description: GSPANN is seeking a highly skilled and detail-oriented Data Modeler to join our Hyderabad team. In this role, you will be responsible for developing and optimizing conceptual, logical, and physical data models that support business intelligence and decision-making processes. You will work closely with business stakeholders and technical teams to turn complex data into meaningful insights. Roles and Responsibilities: Translate business requirements into well-structured data models. Design and implement conceptual, logical, and physical data models for enterprise applications. Collaborate with cross-functional teams including data engineers, analysts, and business users. Ensure data integrity and consistency across various data sources and systems. Use data modeling tools (e.g., ERwin, ER/Studio) to document metadata and relationships. Participate in data profiling, analysis, and cleansing initiatives. Provide technical leadership on data structure standards and best practices. Support data governance, cataloging, and quality assurance efforts. Work in Agile environments and contribute to sprint planning and execution. Required Skills and Experience: Bachelor s or Master s degree in Computer Science, Information Technology, or related field. 4+ years of experience in data modeling (relational, dimensional, or NoSQL). Hands-on experience with tools such as ERwin, ER/Studio, or equivalent. Strong SQL skills and ability to handle large datasets. Experience with RDBMS systems (e.g., Oracle, SQL Server, PostgreSQL). Familiarity with cloud data platforms such as AWS, GCP, or Azure. Strong analytical skills and attention to detail. Excellent communication and stakeholder management skills. Nice to Have: Experience with Snowflake, BigQuery, or Redshift. Exposure to ETL tools and data pipeline development. Knowledge of metadata and data lineage tools. Experience in domains such as retail, healthcare, or finance. Be part of a forward-thinking company at the cutting edge of data and digital transformation. Work in a collaborative environment that encourages learning and growth. Gain exposure to global projects and next-gen technologies. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related field.

Position Title: Power BI Developer Location: Hyderabad Department: Data & Analytics Experience Required: 3 7 Years Employment Type: Full-Time Company: GSPANN Technologies Job Description: GSPANN is looking for experienced and motivated Power BI Developers to join our growing Data Platform team in Hyderabad. This role is ideal for professionals who thrive in a fast-paced environment and are passionate about delivering actionable insights through data visualization and business intelligence tools. Roles and Responsibilities: Design, develop, and maintain interactive Power BI reports, dashboards, and KPI scorecards. Gather and integrate data from various sources such as SQL Server, Oracle, APIs, and cloud-based systems. Implement row-level security, user access control, and data governance protocols in Power BI. Translate complex business requirements into technical solutions and visual stories. Perform data modeling, transformations, and calculations using DAX and Power Query (M). Optimize report performance and data refresh schedules. Collaborate with business stakeholders to capture requirements and deliver insights in a timely fashion. Publish and schedule reports and dashboards for automated distribution. Work with Azure services like Data Lake, Data Factory, and Power Apps (preferred but not mandatory). Skills and Experience: Proven experience (3+ years) with Power BI Desktop and Power BI Service. Strong expertise in DAX (Data Analysis Expressions) and M (Power Query). Solid foundation in Data Warehousing, ETL, and Business Intelligence concepts. Familiarity with SQL, Oracle, and other relational databases. Working knowledge of Azure (Data Factory, Data Lake, Power Apps) is a plus. Ability to interpret business requirements and translate them into technical specifications. Good understanding of Power BI workspace management, dataset refresh, and deployment pipelines. Experience in handling large and complex datasets for enterprise-level reporting. Nice to Have: Knowledge of other BI tools like Tableau or Qlik. Experience with Agile/Scrum methodologies. Exposure to CI/CD for BI deployments. Join a rapidly growing organization at the forefront of digital transformation. Work with top-tier clients across industries. Collaborate with a global team of experts in data and analytics. Accelerate your career growth with continuous learning and mentorship.

Position: Technical Consultant Location: Hyderabad, India Employment Type: Full-Time, Salaried Compensation: Base Salary, Bonus, Benefits About Innovapptive: Innovapptive is revolutionizing industrial operations by uniting front-line workers, back-office teams, and assets on a patented, Code-Free connected worker platform integrated with SAP and IBM Maximo. Our mobile-first SaaS solutions digitize and automate traditionally paper-based maintenance, operations, and supply chain processes for some of the world s largest brands like Shell, UNICEF, and Reckitt Benckiser. Backed by Tiger Global Management and Vista Equity Partners, we re on a mission to empower 350 million industrial workers globally by improving productivity, safety, and operational excellence. Role Overview: We are seeking a Technical Consultant to collaborate closely with customers, product managers, and professional services teams. You will define integration architectures, guide SaaS adoption, and lead the design and implementation of scalable cloud and middleware solutions aligned with customer IT strategies. This role blends architecture, hands-on implementation, and cross-functional collaboration to deliver innovative industrial SaaS integrations. Key Responsibilities: Cloud Architecture & Solution Advisory Engage with customer architects/SMEs to design secure, scalable cloud deployments (AWS mandatory; Azure/GCP optional) Recommend best practices for SaaS adoption, API strategy, middleware, and cloud security Define and enforce architectural standards and governance Integration Solutioning Analyze ERP/CRM systems (SAP PM/MM, Maximo, Salesforce, Oracle) and design middleware integrations (CPI, BTP, MuleSoft, PI/PO, Dell Boomi) Lead integration planning and mapping workshops with clients ETL & Data Flow Enablement Architect ETL pipelines and data transformation rules ensuring clean, secure data flows Implement reliable data ingestion via APIs, OData, REST, SOAP, and event-driven methods Security, IAM & Compliance Implement best practices for data security including OAuth 2.0, OpenID, TLS/SSL, encryption (AES, RSA) Support identity federation (SSO, MFA, Azure AD, Okta) Ensure compliance with GDPR, CCPA, and other data privacy regulations Monitor security logs and support incident response Deployment & Customer Support Support solution deployment and post-go-live activities ensuring stability and performance Guide clients through testing, rollout, and knowledge transfer Collaboration & Enablement Serve as liaison between customers, product engineering, and delivery teams Provide enablement and training for client IT teams What You Bring: Bachelor s degree in Computer Science, IT, or related field 5-8 years experience in Enterprise SaaS Integration and Cloud Architecture Experience integrating SaaS with ERP/CRM systems (SAP PM/MM, Maximo, Oracle, Salesforce) Expertise in REST/OData/SOAP web services, middleware (CPI/BTP/MuleSoft/ESB), and scripting Hands-on experience with AWS (mandatory), Azure or GCP Strong knowledge of networking/security protocols (HTTPS, IPsec, TLS), IAM (SSO, MFA), API management Familiarity with integration/security tools (Postman, Swagger, Wireshark, Fiddler) Knowledge of encryption, data privacy laws, and secure API endpoint management Bonus: SAP backend experience, SMP SDK, SAP HANA, TOGAF certification, mobile field ops solutions, Connected Worker tech Startup mindset: adaptable, proactive, results-driven Soft Skills: Strong problem-solving and analytical thinking Excellent communication and client-facing skills Passion for innovation, customer success, and digital transformation Willingness to travel to client sites as needed Work with a highly innovative team and cutting-edge technology Grow your career in a fast-paced, entrepreneurial environment Collaborate with global brands on impactful projects Competitive salary and comprehensive benefits including medical insurance for family, paid parental leave, and generous PTO Continuous learning and development opportunities Inclusive and diverse workplace culture Innovapptive does not accept unsolicited resumes from recruitment firms. Innovapptive is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration without regard to protected characteristics under applicable laws. Qualification : Bachelors degree in Computer Science, IT, or related field.

Job Title: Data Governance Lead Job Location: Hyderabad Job Description As a Data Governance Lead at Kanerika, you will be responsible for defining, leading, and operationalizing the data governance framework, ensuring enterprise-wide alignment and regulatory compliance. Key Responsibilities: Governance Strategy & Stakeholder Alignment Develop and maintain enterprise data governance strategies, policies, and standards. Align governance with business goals: compliance, analytics, and decision-making. Collaborate across business, IT, legal, and compliance teams for role alignment. Drive governance training, awareness, and change management programs. Microsoft Purview Administration & Implementation Manage Microsoft Purview accounts, collections, and RBAC aligned to org structure. Optimize Purview setup for large-scale environments (50TB+). Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. Schedule scans, set classification jobs, and maintain collection hierarchies. Metadata & Lineage Management Design metadata repositories and maintain business glossaries and data dictionaries. Implement ingestion workflows via ADF, REST APIs, PowerShell, Azure Functions. Ensure lineage mapping (ADF Synapse Power BI) and impact analysis. Data Classification & Security Governance Define classification rules and sensitivity labels (PII, PCI, PHI). Integrate with MIP, DLP, Insider Risk Management, and Compliance Manager. Enforce records management, lifecycle policies, and information barriers. Data Quality & Policy Management Define KPIs and dashboards to monitor data quality across domains. Collaborate on rule design, remediation workflows, and exception handling. Ensure policy compliance (GDPR, HIPAA, CCPA, etc.) and risk management. Business Glossary & Stewardship Maintain business glossary with domain owners and stewards in Purview. Enforce approval workflows, standard naming, and steward responsibilities. Conduct metadata audits for glossary and asset documentation quality. Automation & Integration Automate governance processes using PowerShell, Azure Functions, Logic Apps. Create pipelines for ingestion, lineage, glossary updates, tagging. Integrate with Power BI, Azure Monitor, Synapse Link, Collibra, BigID, etc. Monitoring, Auditing & Compliance Set up dashboards for audit logs, compliance reporting, metadata coverage. Oversee data lifecycle management across its phases. Support internal and external audit readiness with proper documentation. Requirements 7+ years of experience in data governance and data management. Proficient in Microsoft Purview and Informatica data governance tools. Strong in metadata management, lineage mapping, classification, and security. Experience with ADF, REST APIs, Talend, dbt, and automation via Azure tools. Knowledge of GDPR, CCPA, HIPAA, SOX and related compliance needs. Skilled in bridging technical governance with business and compliance goals. Benefits Employee Benefits Culture: Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a collaborative and interactive work environment. Flexible Working Hours: Allows employees to have flexibility in their work schedules. Employee Referral Bonus: Rewards employees for referring qualified candidates. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. Inclusivity and Diversity: Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. Mandatory POSH training: Promotes a safe and respectful work environment. Health Insurance and Wellness Benefits: GMC and Term Insurance: Offers medical coverage and financial protection. Health Insurance: Provides coverage for medical expenses. Disability Insurance: Offers financial support in case of disability. Child Care & Parental Leave Benefits: Company-sponsored family events: Creates opportunities for employees and their families to bond. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. Perks and Time-Off Benefits: Company-sponsored outings: Organizes recreational activities for employees. Gratuity: Provides a monetary benefit as a token of appreciation. Provident Fund: Helps employees save for retirement. Generous PTO: Offers more than the industry standard for paid time off. Paid sick days: Allows employees to take paid time off when they are unwell. Paid holidays: Gives employees paid time off for designated holidays. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. Professional Development Benefits: L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Mentorship Program: Offers guidance and support from experienced professionals. Job Training: Provides training to enhance job-related skills. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

Job Title: Senior Python Developer Location: Hyderabad (Onsite) Experience: 5+ Years Job Type: Full-Time Openings: 2 Category: IT Job Summary We are seeking an experienced Senior Python Developer with deep technical expertise in designing scalable, secure, and high-performance backend systems particularly within the travel and tourism industry. The ideal candidate will be proficient in Python frameworks (Django, Flask, FastAPI), capable of handling complex third-party API integrations, and demonstrate leadership in ensuring robust, compliant, and efficient backend infrastructure. Roles & Responsibilities Core Development Architect, build, and maintain scalable applications using Python and frameworks such as Django, Flask, and FastAPI. Integrate and optimize third-party travel APIs (e.g., GDS, CRS, OTA, airline APIs) for real-time booking, availability, and pricing data. Develop RESTful APIs, GraphQL, and asynchronous services for seamless frontend-backend communication. Data & Architecture Design and manage high-throughput data pipelines and ETL processes for structured and unstructured data. Work with SQL/NoSQL databases like PostgreSQL and MongoDB, and streaming tools like Apache Kafka or Apache Spark. Build modular microservices to enable independent scaling and deployment. Performance, Security & Compliance Optimize for performance, scalability, and reliability with efficient load balancing and low-latency design. Implement secure coding practices, ensure data encryption, and maintain compliance with PCI DSS, GDPR, and other relevant standards. DevOps & Automation Set up and maintain CI/CD pipelines (Jenkins, GitLab CI), automate testing and deployment. Leverage Docker and Kubernetes for containerization and orchestration. Use monitoring tools to ensure system health and proactive issue resolution. Collaboration Work closely with frontend teams, designers, and stakeholders to align backend systems with business requirements. Participate in code reviews, documentation, sprint planning, and continuous improvement. Required Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field. Minimum 5 years of experience in backend development with at least 3 years in Django, Flask, or FastAPI. Hands-on experience in RESTful API, GraphQL, and asynchronous programming. Deep knowledge of PostgreSQL, MongoDB, and streaming/big data tools like Kafka, Spark. Experience in cloud platforms (AWS, Azure, GCP). Experience with Docker, Kubernetes, and CI/CD tools. Familiarity with testing frameworks such as PyTest, Selenium, and SonarQube. Travel domain knowledge experience integrating GDS/CRS, booking systems, and payment gateways. Key Competencies Strong problem-solving and analytical thinking. Ability to work in a fast-paced, high-pressure environment. Excellent communication and collaboration skills. Self-motivated with a proactive attitude and leadership qualities.

Senior Data Engineer Hyderabad (On-site, Full-time) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Industry: AI & Data Science Company: Blend About Blend: Blend is a leading AI services company focused on solving real-world problems through the fusion of artificial intelligence, data science, and human ingenuity. We believe in co-creating meaningful impact by aligning top-tier talent with cutting-edge technology. Our goal is to deliver transformative solutions that unlock value for our clients and enrich the work and lives of our people. Job Overview: We are seeking a highly skilled Senior Data Engineer with strong experience in AWS, Databricks, Python, SQL, and Apache Spark/PySpark. You will be responsible for designing, developing, and maintaining scalable data architectures and pipelines to support analytics, machine learning, and business intelligence efforts across the organization. Key Responsibilities: Design and build scalable data pipelines using AWS services (Glue, Lambda, S3, EMR) and Databricks Notebooks & Workflows. Develop and manage robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Implement distributed data processing using Apache Spark or PySpark. Create and maintain data lakes in AWS Databricks. Collaborate with data scientists, analysts, and cross-functional teams to provide high-quality, accessible datasets. Ensure adherence to data governance, quality, and security best practices. Monitor, troubleshoot, and optimize the performance of data systems. Conduct code reviews and enforce engineering best practices. Mentor junior engineers and support their technical growth. Required Qualifications: Bachelor's or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in Data Engineering, with 2+ years working in AWS Databricks environments. Strong programming skills in Python for data processing and workflow automation. Advanced expertise in SQL for data transformation and querying large datasets. Proficient in distributed data processing using Apache Spark/PySpark. Solid understanding of data modeling, data warehousing, and performance optimization techniques. Hands-on experience with AWS services such as Glue, S3, Lambda, and EMR. Familiarity with version control tools like Git or CodeCommit. Experience with workflow orchestration tools like Airflow or AWS Step Functions (preferred but not mandatory). Be part of a forward-thinking, AI-driven organization. Work with cutting-edge cloud technologies and data platforms. Thrive in a culture of innovation, mentorship, and continuous learning. Enjoy opportunities to grow technically and professionally while driving real-world impact. Apply Now to join Blend as a Senior Data Engineer and help build data infrastructure that powers intelligent decision-making. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

Data Architect Hyderabad Experience: 10-17 Years Job Type: Full-Time | On-site/Hybrid Location: Hyderabad, India Industry: Data Engineering / Cloud Architecture Job Overview We are looking for an experienced Data Architect with 10+ years of expertise in designing, optimizing, and managing enterprise-scale data architectures on Azure Cloud. The ideal candidate will lead efforts to enhance data pipeline performance, ensure robust data governance, and drive cost-effective cloud resource utilization. If you excel in architecting scalable, secure, and high-performing data solutions, this is your chance to join a dynamic team in Hyderabad. Key Roles & Responsibilities Design, optimize, and maintain data pipelines, ETL processes, and complex queries to maximize performance and scalability. Improve query execution plans, indexing strategies, and optimize storage in Azure SQL, Azure Synapse Analytics, and Azure Data Lake. Implement advanced data management techniques such as data partitioning, caching, and compression for efficient data processing. Monitor cloud resource consumption and implement cost-saving strategies without impacting system performance. Optimize use of Azure services including Databricks, Data Factory, Synapse Analytics, and storage accounts to balance performance and cost. Establish and enforce coding standards, design patterns, and best practices for data pipeline development and cloud infrastructure management. Define and implement data governance, security, and compliance policies aligned with organizational and regulatory requirements. Develop and oversee CI/CD pipelines using DevOps methodologies tailored to data engineering workflows. Implement monitoring, alerting, and logging solutions using Azure Monitor, Log Analytics, and Application Insights to ensure system reliability. Architect solutions for high availability and disaster recovery to maintain business continuity. Optimize Power BI data models, DAX queries, and report performance; ensure governance and data refresh strategies meet business needs. Collaborate with cross-functional teams and business stakeholders to translate requirements into scalable and actionable data insights. Required Skills & Qualifications 10+ years of experience in data architecture, cloud data engineering, or related roles. Deep expertise in Azure Cloud data services: Azure SQL, Synapse Analytics, Data Lake, Databricks, Data Factory. Strong background in ETL pipeline optimization, query tuning, and storage management. Proven experience with data governance, security frameworks, and compliance standards. Familiarity with DevOps principles, especially CI/CD for data workflows. Expertise in monitoring tools like Azure Monitor, Log Analytics, and Application Insights. Hands-on experience optimizing Power BI solutions, including data modeling and report design. Excellent communication and stakeholder management skills. Work on large-scale, cutting-edge data projects impacting enterprise business decisions. Collaborate with a passionate, skilled team in a fast-paced, innovative environment. Competitive salary and benefits package. Opportunity to shape the future of data architecture within a leading organization. Apply Today If you are an expert Data Architect ready to take your career to the next level with advanced Azure data technologies, apply now and join our Hyderabad team!

Data Analyst/BI Developer Location: Hyderabad, India Company Overview Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure, and services to drive specific business outcomes, including digital transformation, innovation, and operational agility. With a culture focused on building an employee-first, performance-based environment, Milestone has a history of supporting category-defining enterprise clients. We provide solutions in Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. For over 25 years, Milestone has been at the forefront of transforming the IT industry, applying best practices to deliver both short-term and long-term value to clients. By utilizing Intelligent Automation, we help businesses accelerate their IT transformation while improving operational efficiency. With a team of over 3,000 employees serving 200+ companies worldwide, we are committed to delivering innovation and improving productivity in business operations. Job Overview Milestone is seeking a talented and dynamic Data Analyst/BI Developer to join our team. This role involves developing and maintaining interactive dashboards and reports, optimizing SQL queries, and designing data models to support business needs. The ideal candidate will have a strong background in Tableau, SQL, and Power Apps, and will be responsible for transforming business requirements into technical solutions while ensuring data quality and integrity. Responsibilities: Develop and maintain interactive dashboards and reports using Tableau (strong experience required). Write and optimize SQL queries to extract, transform, and load (ETL) data from various sources. Design and implement data models and databases to support business needs. Work with cross-functional teams to understand business requirements and translate them into technical solutions. Create and manage Power Apps to automate workflows and improve business processes. Perform data validation to ensure data quality and integrity. Provide training and support to end-users on data tools and applications. Stay updated with the latest trends and best practices in data analytics and visualization. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. 7+ years of proven experience with Tableau for data visualization. 5+ years of strong proficiency in MS SQL Server and experience with relational databases. 2+ years of experience with Power Apps for creating business applications. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Experience with other data tools and technologies is a plus. At Milestone, we empower our employees to achieve their full potential in a collaborative and inclusive environment. As a Data Analyst/BI Developer, you will have the opportunity to work on innovative data solutions, enhance business decision-making, and drive meaningful change. Join us and be part of a dynamic team that is revolutionizing the way IT is deployed worldwide. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

Data Consultant - Data Governance (Ataccama) - Hyderabad Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. As a Package Consultant at IBM, get ready to tackle numerous mission-critical company directives. Our team takes on the challenge of designing, developing and re-engineering highly complex application components and integrating software packages using various tools. You will use a mix of consultative skills, business knowledge, and technical expertise to effectively integrate packaged technology into our clients' business environment and achieve business results. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role and Responsibilities Collaborate with stakeholders to gather requirements and design data quality, data governance, and master data management solutions using Ataccama. Responsible for design and implement data matching and deduplication strategies using Ataccama Data Matching. Responsible for developing and maintain data quality rules, data profiling, and data cleansing processes within Ataccama Data Quality Center. Required Education Bachelor's Degree Preferred Education Master's Degree Required Technical and Professional Expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 plus years of experience. Experience in the optimization of Ataccama data management solutions. Develop and maintain data quality rules, data profiling, and data cleansing processes within Ataccama Data Quality Center. Design and implement data matching and deduplication strategies using Ataccama Data Matching. Preferred Technical and Professional Experience Utilize Ataccama Data Catalog for metadata management, data lineage tracking, and data discovery. Provide expertise in integrating Ataccama with other data management tools and platforms within the organization's ecosystem. Collaborate with stakeholders to gather requirements and design data quality, data governance, and master data management solutions using Ataccama. ABOUT BUSINESS UNIT IBM Consulting is IBM s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you ll be able to learn and develop yourself and your career, you ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. ABOUT IBM IBM s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. OTHER RELEVANT JOB DETAILS Job Title: Data Consultant-Data Governance Job ID: 16790 City / Township / Village: Hyderabad State / Province: Telangana Country: India Work arrangement: Hybrid Area of work: Consulting Employment type: Regular Position type: Entry Level Travel required: Up to 20% or 1 day a week Company: (0063) IBM India Private Limited Shift: General (daytime) Is this role a commissionable/sales incentive based position? No Qualification : BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A

Job Description We are looking for a passionate engineer interested in working at an early-stage startup building innovative cloud-native data protection solutions. The ideal candidate must be comfortable learning and scoping business requirements to develop effective solutions. This is a great opportunity for engineers who are eager to step out of their comfort zone and solve impactful modern data security concerns. Desired Background and Experience: Must be a problem solver with the ability to think critically and creatively. Minimum of 8 years of experience building products using Java and/or Python. Prior experience in startups is a huge plus. Comfortable with rapid prototyping and implementation of products in an agile team environment. Data engineering experience with implementation of data ingestion, ETL, data pipeline/workflows. Experience implementing database views and UDFs to control access to data using row and column filters. Working experience in databases and data warehouses. Proficient in one or more of the following: AWS RDS, AWS Data Lake, Redshift, Athena, Databricks, and Snowflake. Experience implementing data solutions using Spark. Ability to write and tune complex SQL queries.

Job Requirements What you will do Understanding business requirements and translating the same into technical solutions. Lead the end-to-end delivery of a Salesforce.com project, which shall involve designing, building, integrating, testing, and deploying a Salesforce.com CRM or Force.com solution. Designing and documenting technical specifications and best practices. Follow project plans with detailed task distribution and execute projects using agile methodologies to ensure the project is delivered on time and beyond customer expectations. Lead and mentor the team in managing technical scope and client expectations, leveraging relationships with external resources, and appropriately engaging them when needed. Build relationships with internal and external teams and contribute to broader goals and growth beyond the scope of the current project. Travel to customer sites for Requirements gathering, Assessment or Training, etc. Essential Qualifications Bachelor s degree in computer science or related field and/or equivalent experience. Minimum 10 years experience with at least 6 years in implementing Salesforce.com. Experience in working with remote teams that shall involve gathering requirements from the customer and documenting the requirement specifications. Experience in planning and executing projects using Agile methodologies. Experience in designing and implementing solutions by mapping customers business processes to Salesforce.com features like Sales Cloud, Service Cloud, Marketing Cloud, and Salesforce1. Experience in integrating Salesforce.com with other systems using middle-wares like Dell Boomi, TIBCO, etc., and direct API calls. Possess excellent written and verbal business communication skills to communicate. Certified Salesforce Consultant (Salesforce DEV-401 Certified, Salesforce ADM-201 Certified, Salesforce Sales, or Service Cloud Certified). Certified Salesforce.com Architect. Qualification : Bachelors degree in computer science or related field and/or equivalent experience.

Role Overview: We are looking for a Software Engineer to play a key role in migrating our workflow orchestration system from Azkaban to Apache Airflow. This is a high-impact opportunity to contribute to modernizing our data processing infrastructure, working on a critical migration project that will enhance the performance and scalability of our systems. Key Responsibilities: Migration Strategy: Design, develop, and execute the migration strategy from Azkaban to Apache Airflow, ensuring a smooth transition and minimal disruption to ongoing operations. Automation: Develop Python scripts and automation tools to support the migration process and automate various tasks such as calling APIs and performing database interactions. Testing and Data Validation: Implement best practices for testing and data validation to ensure the accuracy and reliability of the migrated workflows. Process Automation: Collaborate with the development team to automate several manual processes related to release, upgrades, and deployments, improving operational efficiency. Collaboration: Work closely with platform owners and data teams to ensure that workflows continue to operate with the same performance and reliability post-migration. Optimization: Optimize Airflow DAGs for efficiency, modularity, and maintainability, ensuring scalable and high-performance data pipelines. DevOps Practices: Leverage previous DevOps experience focusing on continuous deployment and monitoring, ensuring the smooth and continuous operation of the migration process. Qualifications: Education: Bachelor s degree in Computer Science, Software Engineering, or a related field. Programming Languages: Proficiency in Python for writing automation scripts, including calling APIs and interacting with databases. Kubernetes Ecosystem: Experience creating YAMLs and Helm charts for managing Kubernetes resources. DevOps Experience: Hands-on experience with DevOps practices, particularly focusing on continuous deployment and monitoring. Orchestration System: Proficiency with Apache Airflow or any orchestration system; experience in creating DAGs to run custom workflows is a plus. Jupyter Notebooks: Familiarity with Jupyter notebooks for data processing and analysis is a plus. Qualification : Bachelors degree in computer science, Software Engineering, or a related field.

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

Join Amgen s Mission of Serving Patients At Amgen, you re part of something bigger our shared mission to serve patients with serious illnesses drives everything we do. Since 1980, we ve been pioneers in the biotech industry, focusing on Oncology, Inflammation, General Medicine, and Rare Diseases, helping millions of patients live longer, fuller lives. Amgen remains on the cutting edge of innovation, combining biology and technology with human genetic data to push beyond what s possible today. Specialist IS Engineer What You ll Do As a Specialist IS Engineer, you will develop and implement the next generation of pharmacovigilance platforms while supporting existing technologies. This includes designing, developing, and deploying complex software solutions while mentoring junior developers. You ll collaborate with cross-functional teams to deliver high-quality, scalable solutions that ensure system reliability and innovation in safety systems. Key Responsibilities Design, develop, and deploy solutions for pharmacovigilance systems to enhance adverse event intake and distribution. Ensure technical implementation aligns with GxP validation processes and IS Change Control standards. Collaborate with partners to prioritize system enhancements and new functionalities for safety systems. Develop innovative solutions using Generative AI and large language models (LLMs) like OpenAI GPT for improved decision-making and efficiency. Rapidly prototype and translate concepts into working code. Drive automation and process improvements within the drug-safety ecosystem. Conduct code reviews and maintain technical documentation for architecture, design, deployment, and disaster recovery. Lead technical root cause analyses and collaborate with software vendors to resolve system-related issues. Basic Qualifications Master s Degree with 4 6 years of experience, or Bachelor s Degree with 6 8 years of experience, or Diploma with 10 12 years of experience in Computer Science, Software Development, or a related field Required Skills Must-Have: Proficiency in SQL, Databricks, and data modeling concepts Experience in Python or JavaScript and reporting tools like Power BI or Tableau Familiarity with PV terminologies and regulatory compliance Hands-on experience with SDLC, ETL tools (Informatica, Databricks), and API integrations (MuleSoft) Strong problem-solving skills, collaborative mindset, and effective communication Knowledge of ITIL processes and GxP validation Nice-to-Have: Experience with COTS Pharmacovigilance Platforms (e.g., Argus) Cloud experience with AWS or Azure Knowledge of AI, Machine Learning (ML), Natural Language Processing (NLP) Professional certifications such as SAFe Agile Software Engineer or SAFe for Teams Soft Skills Strong verbal and written communication skills Analytical and problem-solving mindset Ability to collaborate with global, virtual teams Initiative-driven with an ownership mindset Adaptability and resilience in ambiguous situations What You Can Expect Amgen offers a collaborative, science-driven culture and comprehensive benefits, including competitive salaries, professional growth support, and a focus on your well-being. Shift Information: This role may require working late shifts, with potential for evening or night schedules based on business needs. Apply now to make a real difference in the lives of patients while transforming your career at careers.amgen.com. Equal Opportunity Employer: Amgen is committed to creating a diverse and inclusive environment. We provide reasonable accommodations to individuals with disabilities.

General Summary: Qualcomm is at the forefront of technological innovation, leveraging data-driven insights to power business decisions. We are seeking a Senior/Lead Data Engineer to design, develop, and implement advanced data solutions to support Qualcomm s business goals. This role will involve building scalable data pipelines, integrating large datasets, and collaborating with cross-functional teams to unlock the value of data. As a key technical leader, you will help shape Qualcomm s data infrastructure and work closely with data scientists, analysts, and business stakeholders to ensure the delivery of reliable and high-quality data solutions. Key Responsibilities: Design and implement scalable data pipelines and ETL processes for structured and unstructured data. Develop and optimize data lake, data warehouse, and real-time data processing solutions. Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into robust data solutions. Ensure data quality, reliability, and security across all data systems and pipelines. Build and maintain data models that support business intelligence and advanced analytics needs. Optimize data workflows for performance, scalability, and cost-efficiency. Provide technical leadership and mentorship to junior data engineers. Stay up to date with emerging technologies and recommend solutions to improve data architecture. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, or related field. 5+ years of experience in data engineering or related roles. Proficiency in Python, SQL, and Scala, with experience in building scalable ETL pipelines. Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka). Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Solid understanding of data modeling, data architecture, and real-time data processing. Experience with CI/CD, containerization (Docker, Kubernetes), and DevOps practices. Preferred Qualifications: Knowledge of machine learning pipelines and working with data science teams. Experience with streaming data frameworks (e.g., Apache Flink, Spark Streaming). Strong understanding of data governance, compliance, and security best practices. Excellent problem-solving, communication, and team collaboration skills. Why Join Qualcomm? At Qualcomm, you ll work on cutting-edge projects, collaborating with global teams to solve challenging problems. We offer: Continuous learning and growth opportunities. Flexible working arrangements and a supportive work culture. The chance to work with innovative technologies and industry leaders.

About HSBC If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you're aiming to reach the top or seeking an exciting new direction, HSBC offers opportunities, support, and rewards to take you further. As one of the largest banking and financial services organizations globally, with operations across 64 countries and territories, HSBC is committed to enabling businesses to thrive, economies to prosper, and ultimately, helping people fulfill their ambitions. The Role We are seeking an experienced Senior Software Engineer to join our team. You will become part of HSBC s Data Provisioning Technologies team, responsible for managing and working on the cutting edge of CDP (Cloudera Data Platform) and ODP (Open Data Platform) platforms. As part of one of the largest Big Data estates in the banking industry, you will be instrumental in creating engineering solutions for Hadoop platform pipelines and utilizing industry-leading cloud technologies. Responsibilities Contribute to Hadoop Engineering tasks, developing solutions for data pipeline management on CDP/ODP platforms. Work with Python, Ansible, and Kubernetes to create scalable, efficient solutions within a Big Data environment. Collaborate with the Data/Analytics teams to ensure the smooth operation of data systems and platforms. Design and implement technical solutions while adhering to best practices for CI/CD, DevOps, and GitOps methodologies. Develop and support solutions utilizing cloud technologies, ensuring the scalability and robustness of platforms. Contribute to debugging, troubleshooting, and maintaining the high-quality performance of data systems. Utilize Shell scripting, YAML, and modern automation tools to improve deployment and operational efficiency. Work with GitHub, Jenkins, Ansible for version control, continuous integration, and deployment. Requirements To be successful in this role, you should meet the following requirements: 3-6 years of experience in Hadoop Engineering with practical expertise in Python, Ansible, and DevOps methodologies. Strong knowledge of HDP (Hadoop Distribution), CDP, Linux, Python, Ansible, and Kubernetes. Proficient in Shell scripting, YAML, and technical design. Strong understanding of CI/CD concepts and hands-on experience with tools like GitHub, Jenkins, and Ansible. Familiarity with Test automation tools such as JUnit, Selenium, and Cucumber. Experience with industry-leading Cloud technologies and hands-on development in cloud environments. Working knowledge of GitOps and DevSecOps principles. Knowledgeable in Agile methodologies and ideally, certified in one of the frameworks. Strong communication and networking skills, with the ability to collaborate across teams. Ability to work autonomously, take accountability, and drive results in a high-pressure environment. A strong commitment to high-quality standards, and ownership of individual contributions. You ll have the opportunity to work on innovative projects at the forefront of the banking industry. A global platform with exposure to diverse teams and technologies. Join a company committed to professional development and career growth. Achieve more when you join HSBC. Qualification : 3-6 Years Experience in Hadoop Engineering with working experience on Python, Ansible DevOps methodologies.

Summary Business Data Migration expert for Finance on LDC ERP program ensures data is delivered according to global/deployment/country requirements and timelines and responsible for data migration activities in a deployment (above-country) for Data objects in his/her scope. The data includes but is not limited to Finance master data, Assets, AP, AR, GL, P&L. Acts as the functional SPoC for data migration on the assigned objects for a given release. About the Role Key Responsibilities: • Perform or ensure data cleansing tasks are completed on time • Complete data collection for manual/construction objects on time • Work together with IT counterparts to prepare value mappings • Create and maintain master lists if applicable for assigned objects • Provide business insights and information to technical teams for extraction and conversion from the legacy system(s) for assigned data objects • Work together with IT team and country Business Data Owners to identify objects in scope for country • Ensure data readiness & verify quality throughout data journey for assigned data objects • Verify that data is fit for purpose (incl. alignment with internal/external stakeholders) • Approve upload files before and after load for all assigned data objects (including formal approval) • Perform manual (type-in) data loads into target clients where applicable for assigned objects • Perform dual maintenance • Execution and approval of data verification scripts • Act as SPoC for assigned objects as part of defect management process during Hypercare Essential Requirements: • Bachelor's or master's degree preferred • 5+ years in country & global roles (ERP project implementation experience preferred) • Strong knowledge about the Finance business processes especially in the area of Finance master data, Assets, GL and P&L reporting, WBS, Internal orders, AP, AR etc. Desirable Requirements • Data Migration experience preferred • Good communication and negotiation skills, good stakeholder management • Strategic and hands on way of working (running meetings, tracking progress, managing issues) • Strong Excel Skills Qualification : Bachelor's or master's degree preferred

About the Role: The Data Quality Measurement Team plays a pivotal role in ensuring the integrity, timeliness, and reliability of data used by various business units. The primary goal is to uphold high standards for data quality, ensuring that data is sufficiently accurate, reliable, and timely, in alignment with business or regulatory standards. The team is composed of highly skilled professionals who possess an in-depth understanding of business operations and strive to provide exceptional client experiences, while mitigating legal and regulatory risks for the organization. Key Responsibilities & Impact: Stakeholder Engagement: Collaborate with stakeholders to define requirements and usage needs for measuring data quality in a specific region or business unit. Data Quality Ownership: Take ownership of ongoing data quality measurement activities, focusing on specific regions or business areas to ensure high-quality data standards. Issue Identification & Remediation: Detect data quality issues, perform root cause analysis, and escalate issues for remediation to ensure data meets high-quality standards. Testing & Data Audits: Conduct testing on defined use cases for new technology and vendors. Deliver results and identify sources of errors in the data. Root Cause Analysis: Perform root cause analysis on smaller, self-contained data analysis tasks, often related to assigned or unfamiliar projects. Regulatory Compliance: Ensure compliance with regulatory requirements through data quality processes, particularly within the S&P Ratings division. Data Querying & Correction: Utilize data queries to identify and correct data inconsistencies, ensuring the accuracy and reliability of data. Functional and Business Knowledge: Data Development Lifecycle: Apply foundational knowledge of the data development lifecycle, tools, and theories to complete assignments efficiently. Business Understanding: Possess a basic understanding of business operations and data quality objectives within the team. Problem Solving: Data Issue Resolution: Identify and solve problems within the data domain, using analytical skills to propose clean, objective solutions. Technical Requirements Translation: Ability to analyze complex business problems and translate them into objective technical requirements with minimal business interaction. Passion for Innovation: Demonstrate a passion for problem-solving and the exploration of new technologies to improve data quality processes. Interactions: Internal Collaboration: Primarily work within the team but may also engage with related teams and stakeholders in the data domain to understand processes and procedures. Communication: Regularly communicate data quality updates within the team and to other relevant stakeholders. Typical Scope & Impact: Team Contribution: Contribute to the achievement of personal and team objectives, ensuring that data quality standards are met across the organization. Education & Experience Requirements: Minimum Qualifications: Bachelor s degree or equivalent experience required. 3-4 years of experience in a data operations role. Experience in data quality roles is a plus. Preferred Qualifications: Technical Skills: Experience with data visualization and analysis tools such as Advanced Excel, SQL, Oracle databases, Power BI, ETL, Python. Industry Knowledge: General understanding of financial and market data flows. Skills & Capabilities: Strong attention to detail and the ability to meet deadlines. Ability to effectively collaborate within a large, global team. Strong written and verbal communication skills. Analytical problem-solving skills with a willingness to ask questions and escalate unresolved concerns. Capable of holding others accountable for delivering key actions. About S&P Global Ratings: At S&P Global Ratings, we provide independent, analyst-driven credit ratings, research, and sustainable finance opinions that offer clarity and critical insights. Our high-quality credit assessments enable market participants to make confident decisions, uncover opportunities, and navigate complex economic landscapes. As part of S&P Global, we help organizations worldwide manage risk, plan for the future, and make data-driven decisions in the capital, commodity, and automotive markets. Qualification : Bachelors degree or equivalent experience required.

About the Role: The Associate Director will play a pivotal role in driving operational efficiency and enhancing service delivery across key verticals within the Production function. This position requires a combination of strategic foresight, strong leadership, and operational expertise to ensure exceptional client satisfaction while optimizing processes. Success in this role involves managing and mentoring teams, driving continuous improvement, and aligning operations with broader client and business objectives. What You Stand to Gain: Strategic Influence: Play an essential part in shaping the operational landscape, influencing key decisions and driving the success of the organization. Leadership Development: Opportunity to lead a high-performing team, fostering a collaborative and innovative environment. Continuous Growth: Exposure to operational strategies in a complex, dynamic industry, with potential for personal and professional development. Key Responsibilities: Team Leadership: Lead and inspire a high-performing team, fostering a culture of collaboration, innovation, and continuous improvement. Strategic Planning: Develop and implement operational strategies that align with client and business goals to drive success. Process Optimization: Collaborate with key stakeholders to streamline operational processes, enhancing efficiency, productivity, and service delivery quality. Resource Management: Ensure effective resource allocation to meet KPIs and deliverables, ensuring the resolution of chargebacks and meeting client expectations. Cross-Functional Collaboration: Work closely with technology, finance, service delivery managers, and support teams to facilitate seamless service delivery and operational success. Risk Management: Identify operational risks and implement risk management practices, developing contingency plans to mitigate risks effectively. Performance Monitoring: Establish metrics, dashboards, and reports to monitor and improve operational performance, driving continuous enhancements. Continuous Improvement: Foster a culture of innovation and continuous improvement, encouraging the team to find creative solutions to operational challenges. Quality Assurance: Enforce best practices in quality assurance to ensure the team s outputs meet high standards. Technical Expertise: Utilize tools such as SQL and data analysis techniques to plan and manage the operations efficiently. Reporting & Accountability: Conduct regular progress reviews, providing data-driven insights for gap analysis in projects and overall delivery. Client SLA Management: Develop and manage SLA reports to measure progress and ensure performance metrics are met. SOP & SOW Maintenance: Maintain and update Standard Operating Procedures (SOPs) and Statements of Work (SOWs), ensuring alignment with operational goals and objectives. What We re Looking For: Experience: 12+ years of experience in senior operational management roles, with a preference for experience within the private equity or data industries. Education: Master s degree in Finance, Business Management, or a related field. Track Record: Proven success in optimizing operational functions to meet business objectives, with experience in leadership and resource optimization. Leadership & People Management: Strong leadership skills with the ability to motivate teams and deliver operational excellence. Strategic Planning & Problem Solving: Ability to craft effective operational strategies and solve complex problems with innovative solutions. Client Relationship Management: Experience in managing client SLAs and aligning operations with client expectations. Industry Knowledge: In-depth understanding of private equity, workflows for limited partners and general partners, and industry trends. Flexibility: Ability to adapt to a multi-shift operation with work schedule flexibility based on business needs. Technical Skills: Strong quantitative and analytical experience with proficiency in SQL and data analysis tools. About S&P Global Market Intelligence: At S&P Global Market Intelligence, we provide unparalleled insights and data solutions that empower customers to make informed decisions with confidence. As a division of S&P Global, we lead the way in delivering cutting-edge data and technology solutions, helping businesses navigate the complexities of the global markets. Our experts are dedicated to delivering accurate, deep insights that drive business success and foster growth. Qualification : Masters degree in Finance, Business Management, or a related field.

The Primary role of a Senior DBA is to work with Oracle EBS database 19cand Oracle EBS 12.24 version. Candidate will be very hands-on and will be ensuring production up-time service levels are maintained and made available per requirements that include backup, recovery, refresh, performance tuning, and security (physical and data). Key Accountabilities: Designs, Installs, maintains and controls the organization's production and non-production databases. Provides on-call support for production environments. Provides 24/7 support for various activities including: Database maintenance, application releases, disaster recovery, database upgrades, and patching. Play a key role in ensuring the availability, performance and security of the databases. Collaborates on the development of technical and security standards with another database administrators and technical resources. Teamwork: Communicating to the team in an open, balanced and objective manner. Skills: Proficiency in more than one RDBMS and OS technology. Experience in file structures, design, retrieval and access methods and related tasks. Understands the systems development process and has a solid understanding of business processes. Analytical ability, good communication skills, strong judgment, and the ability to work effectively with clients and IT management and staff. Strong performance tuning skills. Project leadership skills. Knowledge in the following areas: IT concepts, strategies, and methodologies, architectures and technical standards, database administration tools and utilities, application architectures and design principles, infrastructure architectures - backup and recovery systems, storage subsystems. Provides consultation to application developers in SQL coding and tuning, and coding and deployment of stored procedures. Excellent interpersonal, verbal and written communication skills. Client focused approach to work. A flexible attitude with respect to work assignments and new learning. Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail. Excellent knowledge of core Oracle databases required (up through 19c). Excellent knowledge of Oracle EBS database administration through 12.2.4 required, including concurrent processing, system administration, start up and shut down, RAC, OEM in the EBS space, support of printing including XML, managing of schema statistics, identification of poorly performing queries, performance tuning, RAC refreshes. Excellent knowledge of Data Guard and DR concepts. Knowledge of Oracle EBS system administration to monitor concurrent requests and collect information on job logs. Proficient knowledge to manage and monitor WebLogic Server, SOA Suite and Vertex. Comfort with Linux and windows able to login to various environments, start/stop/monitor services in these environments determine status or issues in these environments. Unix shell scripting. Excellent communication skills. Education: Bachelor s degree in computer science or a related work experience. OCI Certification. Minimum Work Experience: Extended hands-on work experience in supporting Oracle RDBMS in a multi-platform environment. Has worked with other enterprise RDBMS vendors. 7-10 Years of experience as Oracle APPS DBA. Qualification : Bachelors degree in computer science or a related work experience.