92 Data Warehousing jobs in Hyderabad
Onix DataMetica is Hiring GCP Data warehousing Engineers Hyderabad
Posted today
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About the Role
We are looking for a skilled GCP Data Engineer to design, build, and optimize scalable data pipelines and platforms on Google Cloud. The ideal candidate will have hands-on experience with BigQuery, Dataflow, Composer, and Cloud Storage, along with strong SQL and programming skills.
Key Responsibilities
- Design, build, and maintain ETL/ELT pipelines on GCP.
- Develop scalable data models using BigQuery and optimize query performance.
- Orchestrate workflows using Cloud Composer (Airflow).
- Work with both structured and unstructured data from diverse sources.
- Implement data quality checks, monitoring, and governance frameworks.
- Collaborate with Data Scientists, Analysts, and Business teams to deliver reliable datasets.
- Ensure data security, compliance, and cost optimization on GCP.
- Debug, monitor, and improve existing pipelines for reliability and efficiency.
Required Skills & Experience
- Strong experience in GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer.
- Expertise in SQL (BigQuery SQL / Presto SQL) and performance tuning.
- Hands-on experience in Python/Java/Scala for data processing.
- Experience with workflow orchestration tools (Airflow, Composer, or similar).
- Familiarity with CI/CD pipelines, GitHub, and deployments.
- Knowledge of data warehouse design, dimensional modeling, and best practices.
- Strong problem-solving and analytical skills.
Nice-to-Have Skills
- Experience with other cloud platforms (AWS/Azure) is a plus.
- Exposure to Machine Learning pipelines on GCP (Vertex AI).
- Knowledge of Terraform/Infrastructure as Code.
- Understanding of real-time streaming solutions (Kafka, Pub/Sub).
Education
- Bachelors/Master's degree in Computer Science, Engineering, or related field.
Data Management
Posted today
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Database Management:
• Manage rotation of existing database lists containing million+ records
• Implement proper rotation schedule: active lists for 4-5 days maximum, then 28-30 day cooling period
• Import and process new weekly leads after suppression list processing
• Monitor and analyze list performance metrics
• Reset dispositions as needed
Dialer Administration:
• Maintain DID (Direct Inward Dialing) hygiene and reputation management
• Monitor spam likelihood status across all DIDs
• Order new DIDs monthly through current provider
• Ensure clean number inventory with no extended wait times
• Monitor team connect rates and take corrective action when needed
Daily Operations:
• Continuous monitoring throughout business hours
• Add/rotate data proactively to prevent agent downtime
• Analyze performance exceptions and adjust strategies accordingly
• Maintain optimal call center efficiency and agent productivity
Required Skills:
• Experience with call center dialer systems and administration
• Strong analytical skills for database performance analysis
• Knowledge of DID management and telecommunications
• Ability to work independently with minimal supervision
• Attention to detail for large-scale data management
• Proactive problem-solving approach
Ideal Candidate:
• Previous experience in call center operations or dialer administration
• Familiarity with lead management and database rotation strategies
• Understanding of spam compliance and reputation management
• Ability to work EST hours consistently
• Strong communication skills for reporting and coordination
Data Management
Posted today
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We are seeking a highly motivated and experienced Lead Data Controller to join our dynamic team and drive improvements in our data management processes.
We are looking for a proactive and experienced Lead Data Controller to take ownership of the timely and complete receipt of critical financial data elements within our Controllers department. This is a crucial role that requires strong leadership, meticulous attention to detail, and a deep understanding of data flows within financial services. The candidate will be instrumental in ensuring the quality and availability of data for all reporting purposes, leading a small team, and collaborating extensively with various stakeholders.
Responsibilities include identification of risks, design of effective controls, and oversight of production activities such as data sourcing, processing, analyzing, and reviewing the output while ensuring that the activities are conducted in a controlled environment.
Role & responsibilities
- 5+ years of experience in a data-focused role within the financial services industry (e.g., banking, asset management, insurance).
- Ability to understand inherent risks within data
- Strong understanding of financial products, their underlying risks, and how to design a strong robust control environment around those risks
- Proven experience leading a small team and proven experience of owning processes front to back
- Exceptional communication and interpersonal skills, with the ability to effectively engage with technical and non-technical stakeholders at all levels.
- Demonstrable experience in data reconciliation, validation, and quality assurance.
- Excellent analytical and problem-solving skills, with a keen eye for detail.
- Qualified CA/CFA/ICWA/MBA
- Understanding of change management discipline and ability to collaborate effectively
- Intuitive; fast learner with good problem-solving skills.
- Extensive hands-on experience with AxiomSL (or comparable enterprise-level financial reporting and data management system)
- Experience with data science concepts, methodologies, or tools (e.g., Python, R, machine learning for anomaly detection, data visualization) applied to financial data.
- Familiarity with data governance frameworks and best practices.
Job Expectations
Data Oversight & Delivery:
- Act as the primary point of contact for all data inflow into International Controllers by ensuring data is received accurately, completely, and on schedule for reporting deadlines.
- Develop, implement, and maintain robust data reconciliation and validation processes to guarantee data integrity.
- Proactively identify and resolve data discrepancies, working closely with upstream data providers and source system owners.
- Monitor data quality metrics and report on data completeness and accuracy to senior management.
- Drive continuous improvement initiatives related to data acquisition, processing, and quality within Controllers.
- Ensure operational documentation is maintained, and is best in class
Team Leadership and Development:
- Lead, mentor, and develop a small team of Data Controllers, fostering a collaborative and high-performing environment.
- Allocate tasks, manage workloads, and ensure efficient operation of the data control function.
- Contribute to the hiring and onboarding of new team members as needed.
Stakeholder Management:
- Collaborate effectively with various internal departments, including Technology, Operations, and other finance functions, to ensure seamless data flow and resolve issues.
- Provide relevant control metrics as required to facilitate oversight and governance
- Communicate clearly and concisely with stakeholders regarding data status, issues, and resolutions.
- The above individual contributor' tasks, this role will directly support the Financial and Regulatory Reporting Teams
Data Management Manager
Posted 3 days ago
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Job Description
Wells Fargo is seeking a Data Management Manager
**In this role, you will:**
+ Make decisions and resolve issues regarding operational execution for data governance, data quality or metadata
+ Recommend strategies to prioritize and remediate data quality issues that align with business needs or regulatory compliance initiatives
+ Identify and recommend opportunities for the development of audits and controls structured around business processes and data quality target state and metadata standards
+ Manage and develop team of individual contributor roles with low to moderate complexity focused on defining data quality requirements and delivering on data integrity initiatives
+ Manage operational execution of activities related to all stages of the remediation lifecycle
+ Direct team in developing solutions, tools and processes used to maintain a common companywide data quality, control standards and data sourcing
+ Collaborate with and consult with peers, colleagues, and multiple level managers to ensure consistent approach and direction on companywide remediation efforts
+ Serve as single point of contact for escalations on low to moderate complexity issues
+ Manage allocation of people and financial resources
+ Mentor and guide talent development of direct reports and assist in hiring talent
**Required Qualifications:**
+ 4+ years of Data Management, Business Research, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
+ 2+ years of Leadership experience
Desired Qualifications:
+ Establish and maintain robust data control frameworks across critical data processes, ensuring compliance with regulatory and internal standards.
+ Drive operational excellence in data management by identifying inefficiencies, implementing automation, and continuously improving data services.
+ Proactively identify and mitigate data-related risks, ensuring early detection and resolution of control gaps.
+ Oversee data governance and quality initiatives, ensuring consistency, completeness, and reliability of data across systems.
+ Collaborate with cross-functional teams including business, technology, and compliance to align data strategies with organizational goals.
+ Monitor and report on data control metrics, providing transparency and accountability across data operations.
Job Expectations
+ Proven experience in data control, governance, and operational risk management within financial services, preferably investment banking.
+ Strong understanding of data quality frameworks, data pipelines, and regulatory requirements (e.g., BCBS 239, GDPR).
+ Experience in automation and process optimization within data operations.
+ Ability to think strategically and see the big picture while managing detailed control processes.
+ Excellent stakeholder management and communication skills, with a focus on influencing and driving change.
+ Familiarity with investment banking products and data flows is a strong advantage.
**Posting End Date:**
28 Sep 2025
**_*Job posting may come down early due to volume of applicants._**
**We Value Equal Opportunity**
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
**Applicants with Disabilities**
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo ( .
**Drug and Alcohol Policy**
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy ( to learn more.
**Wells Fargo Recruitment and Hiring Requirements:**
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
**Req Number:** R-
Data Management Manager
Posted 9 days ago
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Job Description
**ABOUT AMGEN**
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
The Commercial Data Management Manager will be responsible for managing the execution of the Data Platforms Operations in partnership with the Technology team, driving continuous innovation, operational excellence, and cost efficiencies. The manager will oversee execution of features aligned with one or more of our Data Platform product teams and work with the global team and functional partners to implement additional capabilities to the platform aligned with business objectives. Also, the manager will partner with the Senior Manager, Data Platforms to initially focus on the transition efforts from the vendor teams, building a highly talented and data-focused team in our Innovation Center in India. You will also be responsible for partnering with our Amgen Technology partners and peer teams in the US and India to plan, design and implement large and strategic Data enabling programs.
**Roles & Responsibilities:**
**Execution of Data-Enabling Features in Product Teams**
+ Lead and oversee prioritization, execution and deployment of features in one of our Commercial Data Platforms Product teams aligned with standard operating procedures
+ Lead various stages of SDLC as a member of the Data Management Operations teams - including requirements gathering sessions with stakeholders across the US Commercial Organization (including Incentive Compensation, Field Reporting, Forecasting, Secondary Analytics), design, testing and documentation in partnership with the Technology teams in a Product Team setting.
+ Partner with peer teams in the US and technology teams to review requests, design solutions, estimate effort and prioritize requests in assigned Product backlog
+ Communicate with stakeholders through various stages of the SDLC and ensure alignment with stakeholders, and management on effort, solution, timelines and expectations
+ Accountable for ensuring governance processes are followed and appropriate system testing, User Accepting Testing (UAT) are done and documentation is set up to ensure traceability through the lifecycle of deployment
+ Responsible for working with syndicated data sets including IQVIA data - DDD, Xponent, ELAAD, etc., Digital Marketing data sets including Patient and Physician level data sets and internal data sets like HR data, Call Activity data from CRM systems, Patient Hub data to set up and enable HCP & Patient centric connected data sets for our stakeholders
+ Build connected data products for Amgen's Commercial Data and Analytics function leveraging data sets mentioned above that enable insights around Prescriber & Patient behaviour & engagement patterns to support more efficient targeting algorithms
+ Manage the Big Data platform infrastructure (Built on AWS tech / Airflow for Data storage and orchestration and Databricks for processing) - including access to the platform, platform costs, ad hoc capabilities for users, data quality, etc.
+ Partner with the US teams and Technology teams to evaluate and implement tools and technologies to support the future state of the platform including Automated Anomaly detection, Automated document generation, Bots against data, Searchability of data assets, LLM models on data and documents and other Gen AI capabilities
+ Partner with the Technology teams and direct line management to implement processes to monitor system health, set up alerts for anomalies and implement steps to proactively remediate areas of concern on the infrastructure front
+ Partner with peers across our four pillars - Master Data Management, Data Platforms, Patient Data Management, Data Acquisition & Governance to ensure alignment on solutions implemented for stakeholders
+ Identify and highlight roadblocks, process gaps, and resourcing needs to the Leadership team as part of continuous improvement efforts.
+ Identify opportunities for continuous improvement and highlight to direct line management and strategize roadmap for deployment
**Manage Work Transition and Insourcing**
+ In partnership with the Senior Manager Data Platforms, develop and oversee transition plans to migrate work to our Amgen India Innovation Center with minimal disruption and develop standard processes for onboarding peers and broader team.
+ Execute on the insourcing of our Operational Data Management Services currently delivered by external vendors, ensuring appropriate knowledge transfer, risk mitigation, and operational readiness.
+ Build robust repository of knowledge transition documents and set up processes for efficient operations within a global team framework
**Facilitate Cross-Team and Organizational Engagement and Alignment**
+ Partner closely with peers in Commercial Data Strategy core pillars and Data Management Senior Manager to contribute to delivering against our priority initiatives and establish new ways of working, especially across time zones.
+ Work with our Technology/IT partners and the US team members in Product Team setting and partner with other Product teams to ensure deliverables are aligned with the Platform governance model
+ Act as a liaison between at our Amgen India Innovation Center with other Customer Data & Analytics Teams to ensure alignment on goals, processes, and success measures.
**Basic Qualifications and Experience:**
+ Master's degree and 4 to 6 years of data management experience OR
+ Bachelor's degree and 8 to 10 years of relevant data management experience
+ Proven experience in working in global teams and across time zones and cultures
+ Proven experience in working in Product teams and delivering high quality solution in adherence with established processes
+ Strong leadership, stakeholder management, and communication skills.
+ Excellent English oral and written communication.
**Functional Skills:**
**Must-Have Skills:**
+ Prior experience and success working in high-performing data management teams, with clear demonstrations of collaboration, innovation, and continuous improvement.
+ Prior experience leading and supporting Data Platforms Operations - including executing in Agile Product teams, overseeing phased execution of Platform enhancements and innovations
+ Prior experience in executing in major data transformation projects with global teams, including core teams located in India.
+ Prior experience in data architecture and data flow design, data modelling and in data profiling
+ Prior hands-on experience and expertise in technologies such as AWS and Databricks with ability to dig into problem statements and partner with teams in Root cause analysis and in planning and implementing long term remediation
+ Hands-on experience with data analysis using tools and technologies like SQL, Python, R, etc.
+ Prior experience in partnering with stakeholders and technology teams in solution design for small features as well as complex large programs
+ Quick learning agility to understand new concepts such as our end-to-end Commercial data flows to identify and remediate interdependencies.
+ Collaborate with peers, India leadership team and peer teams in the USA to stay ahead of industry trends, best practices, and emerging technologies in data acquisition and build multi-year forward looking Data platform roadmaps.
+ Alignment with best practices and a commitment to championing new and innovative methodologies and tools to enhance data strategies and solutions to drive business outcomes.
**Good-to-Have Skills:**
+ Experience working in the life sciences commercial data domain space, ideally in the areas of Data Platforms and Patient Data.
+ Understanding of the syndicated commercial data sets and use cases
+ Worked in multinational settings with teams from different countries.
+ Basic understanding of compliance and data privacy requirements.
+ Familiarity with and application of Scaled Agile Framework (SAFe).
**Soft Skills:**
+ Exceptional collaboration and communication skills.
+ Strong data & analytics/critical-thinking and decision-making abilities.
+ Able to perform well in a fast-paced, changing environment.
+ Strong oral, written, and presentation skills, with the ability to articulate complex concepts and controversial findings clearly and compellingly.
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**GCF Level**
GCF Level 05A
**Career Category**
Sales and Marketing Ops
**Position Type**
Full time
Data Management Mgr
Posted 9 days ago
Job Viewed
Job Description
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
The Manager will report into the Senior Manager, Patient Data Management at our Innovation Center in India. This individual will manage Amgen's patient data assets (e.g., data generated from Patient Support Programs and Specialty Pharmacy patient data contracts) and partner with other colleagues across the globe. This includes executing solutions to compliantly connect patient data assets that will serve as the foundation for driving patient journey analytics that inform enhanced patient experiences. This position is responsible for executing cross-functional processes, SOPs (Standard Operating Procedure), and governance to ensure secure and appropriate access to these sensitive data sets. This individual will partner with Patient Access, IS, and Commercial teams and with multiple external vendors to support patient data aggregation, integration, and ongoing operations.
**Roles & Responsibilities:**
+ Gather data requirements for onboarding of new patient support programs, specialty pharmacy and other patient data sources
+ Implement end-to-end data curation processes for Amgen's new and existing PSP (Patient Support Programs) and SP (Specialty Pharmacies) data sources
+ Implement linking of first- and third-party patient data assets to enable longitudinal analytics across the patient journey (e.g., across SPP, Hub, and Syndicated data sets)
+ Lead all aspects of day-to-day patient data operations for multiple brands supported by this role including the daily management of data aggregation vendor activities
+ Respond and resolve data inquiries from cross-functional stakeholders
+ Identify data issues across data sources, ensure checks are implemented and monitor data quality
+ Ensure compliant processing and management of patient level data assets in adherence to all Amgen Privacy and Compliance SOPs
+ Enforce data governance for patient data assets through data access management and business approval processes
**Basic Qualifications and Experience:**
+ Master's degree and 4 to 6 years of data management experience OR
+ Bachelor's degree and 8 to 10 years of relevant data management experience
+ Proven experience in working in global teams and across time zones and cultures
+ Proven experience in working in Product teams and delivering high quality solution in adherence with established processes
+ Strong stakeholder management and communication skills.
+ Excellent English oral and written communication.
**Functional Skills:**
**Must-Have Skills:**
+ Experience in Data Management, Analytics, Sales and/or Marketing Operations, Value & Access, or a related field
+ Direct experience in analyzing large data sets and translating data into information and insights
+ Experience with data, analytics, and technology solutions (AWS/other cloud platforms, SQL, Databricks, Tableau, SAS, Python, R, etc.)
+ Ability to effectively translate business stakeholder requirements to IT partners to ensure high quality, timely, integrated data assets
+ Deliver prioritized data deliverables through agile execution and continuous improvement
+ Demonstrated self-starter, ability to work under limited supervision
+ Strong interpersonal skills, active listening, and relationship management skills
+ Strong vendor management skills
+ Prior experience in executing in major data transformation projects with global teams, including core teams located in India.
**Good-to-Have Skills:**
+ Experience working in the life sciences commercial data domain space, ideally in the areas of Data Platforms and Patient Data.
+ Experience working with patient level datasets including first party sources such as Patient Support Programs & Specialty Pharmacies, Syndicated Sales & Claims data sources, Digital data sources, etc.
+ Quick learning agility to understand new concepts such as our end-to-end Commercial data flows to identify and remediate interdependencies.
+ Understanding of the syndicated commercial data sets and use cases
+ Worked in multinational settings with teams from different countries.
+ Basic understanding of compliance and data privacy requirements.
+ Familiarity with and application of Scaled Agile Framework (SAFe).
**Soft Skills:**
+ Exceptional collaboration and communication skills.
+ Strong data & analytics/critical-thinking and decision-making abilities.
+ Able to perform well in a fast-paced, changing environment.
+ Strong oral, written, and presentation skills, with the ability to articulate complex concepts and controversial findings clearly and compellingly.
Data Management Analyst
Posted today
Job Viewed
Job Description
Data Management Analyst
This role will be instrumental in building a robust semantic layer, comprising business-curated data layers that facilitate seamless access to workforce planning data. The successful candidate will govern the ecosystem of workforce data (FPA + People) data, ensuring data quality, integrity, and security, while driving faster speed to insights and analytics by optimizing data architecture and processes. A critical component of this role is preparing data for AI applications, enabling conversational analytics and AI-driven decision-making, ultimately shaping the future of conversational analytics and AI on Analytics.
Responsibilities
- Data Architecture Design: Develop and implement data architecture that complement data engineering design and policies, optimize querying processes to reduce time to insight. This includes designing data models, data warehousing solutions, and data integration frameworks that support the organization's data strategy
- Metrics Aggregation and Computation Layer: Design and develop a holistic metrics aggregation and computation layer across people analytics, enabling the optimization of standard report production, enhancement of dashboard performance, and driving self-service analytics. This involves creating a unified framework for metric calculation, data aggregation, and data visualization
- Subject Matter Expertise: Leverage subject matter expertise and business data process knowledge to design optimal data architecture that meets the needs of stakeholders. This requires a experience understanding of business operations, data flows, and data requirements
- Ontology and Artificial Intelligence-Consumable Data Architecture: Build ontology and AI-consumable data architecture and metadata, enabling the development of artificial intelligence and machine learning solutions. This involves creating data structures, taxonomies, and metadata frameworks that support AI applications
Key Skills & Qualifications:
- 10+ years of experience in data analysis, database development, or related fields, with a strong emphasis on SQL.
- Extensive experience in data extraction, cleaning, and transformation from diverse data sources, including relational databases (PostgreSQL, MySQL), cloud data warehouses (BigQuery)
- Proficiency in scripting languages such as Python for data automation.
- Strong problem-solving and analytical skills with an eye for identifying patterns, trends, and inconsistencies in data.
- Excellent business understanding of how data impacts decision-making and business strategy.
- Experience with Google Cloud Platform, particularly BigQuery and Cloud SQL, is a plus.
- Excellent communication and presentation skills.
- Extensive experience of building ontology and AI-consumable data architecture and metadata using prodigy, swoop, etc
Additional Skills (Preferred):
- Familiarity with google cloud is a plus.
- Strong communication skills to collaborate with cross-functional teams and present findings to stakeholders.
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Data Management Specialist
Posted today
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Job Description
- Company Description
RVR PRO is a leading luxury wedding photography and cinematography company, known for capturing timeless love stories with an artistic and cinematic touch. With a portfolio that spans high-profile destination weddings to intimate celebrations, we deliver exceptional visual storytelling tailored to every client.
RVR PRO is seeking a detail-oriented and reliable
Data Management Specialist
to ensure secure, consistent, and efficient handling of company data. The role involves managing data backup, performing scheduled data copies, and supporting data recovery operations. You will play a critical role in maintaining the integrity and availability of business-critical information.
Key Responsibilities:
- Perform
daily, weekly, and monthly data backups
according to company policies. - Monitor and validate backup operations to ensure data is securely and completely stored.
- Execute
data copy operations
between internal systems, external drives, or cloud platforms as needed. - Maintain a structured backup catalog, logs, and reports for all data management activities.
- Assist with
data recovery
during system failures, user errors, or cybersecurity events. - Ensure data retention and archiving complies with
internal policies
and
regulatory standards
. - Test and verify data integrity after backup and copy processes.
- Troubleshoot and resolve any issues related to data backup and copy failures.
- Continuously assess and recommend improvements in data backup and recovery procedures.
Qualifications:
- Bachelor's degree in Computer Science, Information Systems, or related field (preferred).
- 1–3 years of experience in data management, IT support, or system administration.
- Experience with backup software
- Samiliarity with data storage systems, cloud storage (e.g., AWS S3, Google Cloud Storage), and file transfer tools.
- Basic understanding of database systems, file structures, and data formats.
- Attention to detail and strong documentation skills.
- Ability to work independently and in a team environment.
Data Management Executive
Posted today
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Job Description
Job Title: Content Manager – Data Management
Location: Hyderabad
Job Type: Full-Time
Department: IT
Reports To: IT
- Company Description
RVR PRO is a leading luxury wedding photography and cinematography company, known for capturing timeless love stories with an artistic and cinematic touch. With a portfolio that spans high-profile destination weddings to intimate celebrations, we deliver exceptional visual storytelling tailored to every client.
Job Description:
We are seeking an experienced and detail-oriented IT Support Specialist to join our IT team. The ideal candidate will be responsible for maintaining, troubleshooting, and optimizing the organization's data systems, ensuring the integrity and security of data, and performing network monitoring and recovery tasks. You will play a crucial role in supporting data management and infrastructure, ensuring that our systems run efficiently, and mitigating risks related to data loss or network issues.
Key Responsibilities:
Data Management and Maintenance:
• aintain and manage the organization's data, including data storage, backup, and integrity checks.
• rform regular audits to ensure data consistency and address any data discrepancies.
• plement data organization protocols, including archiving, tagging, and categorization systems.
• nitor and ensure the proper functioning of databases and related applications.
• sure data security by enforcing policies and performing data encryption and masking when required.
• twork Monitoring and Optimization:
• nitor and maintain the performance of the organization's network systems, including servers, routers, firewalls, and switches.
• oubleshoot and resolve network-related issues to ensure minimal downtime.
Perform proactive monitoring using network management tools to ensure availability and optimize network performance.
• sist in the configuration and maintenance of network equipment and devices.
Data Matching and Analysis:
• rform data matching tasks to ensure consistency between different systems and datasets.
• e data matching techniques to identify duplicate records, errors, and inconsistencies within databases.
• llaborate with business teams to refine data matching rules and improve data accuracy.
Data Recovery and Backup Management:
• plement and manage data backup solutions, ensuring regular and secure backups are performed.
• ordinate and execute data recovery procedures in case of system failure, data corruption, or disasters.
• nduct disaster recovery drills and ensure adherence to recovery time objectives (RTO) and recovery point objectives (RPO).
• oubleshoot and restore lost or corrupted data from backups or other recovery systems.
Documentation and Reporting:
• intain clear and comprehensive documentation related to network configuration, data management protocols, and recovery procedures.
Prepare regular reports on system health, backup status, and data recovery activities.
• sist in creating and updating IT policies and procedures.
Collaboration and Support:
• llaborate with cross-functional teams to identify and resolve data and network-related issues.
• ovide technical support to users and other departments for troubleshooting data and network-related issues.
• ay up-to-date on the latest technologies and best practices related to data management and network monitoring.
Educational Qualifications:
Bachelor's degree in Computer Science, Information Technology, Network Administration, or a related field (or equivalent work experience).
Industry
- Media Production
Employment Type
Full-time
Job Types: Full-time, Permanent
Pay: ₹15, ₹25,000.00 per month
Application Question(s):
- Do you have Experience in Data backup and Data recovery ?
Work Location: In person
Data Management Analyst
Posted today
Job Viewed
Job Description
Data Management Analyst
This role will be instrumental in building a robust semantic layer, comprising business-curated data layers that facilitate seamless access to workforce planning data. The successful candidate will govern the ecosystem of workforce data (FPA + People) data, ensuring data quality, integrity, and security, while driving faster speed to insights and analytics by optimizing data architecture and processes. A critical component of this role is preparing data for AI applications, enabling conversational analytics and AI-driven decision-making, ultimately shaping the future of conversational analytics and AI on Analytics.
Responsibilities
- Data Architecture Design:
Develop and implement data architecture that complement data engineering design and policies, optimize querying processes to reduce time to insight. This includes designing data models, data warehousing solutions, and data integration frameworks that support the organization's data strategy - Metrics Aggregation and Computation Layer:
Design and develop a holistic metrics aggregation and computation layer across people analytics, enabling the optimization of standard report production, enhancement of dashboard performance, and driving self-service analytics. This involves creating a unified framework for metric calculation, data aggregation, and data visualization - Subject Matter Expertise:
Leverage subject matter expertise and business data process knowledge to design optimal data architecture that meets the needs of stakeholders. This requires a experience understanding of business operations, data flows, and data requirements - Ontology and Artificial Intelligence-Consumable Data Architecture:
Build ontology and AI-consumable data architecture and metadata, enabling the development of artificial intelligence and machine learning solutions. This involves creating data structures, taxonomies, and metadata frameworks that support AI applications
Key Skills & Qualifications:
- 10+ years of experience in data analysis, database development, or related fields, with a strong emphasis on SQL.
- Extensive experience in data extraction, cleaning, and transformation from diverse data sources, including relational databases (PostgreSQL, MySQL), cloud data warehouses (BigQuery)
- Proficiency in scripting languages such as Python for data automation.
- Strong problem-solving and analytical skills with an eye for identifying patterns, trends, and inconsistencies in data.
- Excellent business understanding of how data impacts decision-making and business strategy.
- Experience with Google Cloud Platform, particularly BigQuery and Cloud SQL, is a plus.
- Excellent communication and presentation skills.
- Extensive experience of building ontology and AI-consumable data architecture and metadata using prodigy, swoop, etc
Additional Skills (Preferred):
- Familiarity with google cloud is a plus.
- Strong communication skills to collaborate with cross-functional teams and present findings to stakeholders.