1,105 Query Optimization jobs in India

Awish Clinic is a Skin & Hair clinic offering advanced dermatology and cosmetology solutions. We are looking for a Data Management who can handle clinic data, media files, and provide support in digital content management.

Key Responsibilities:

• Manage and organize clinic data, records, and reports.
• Handle photo & video content related to treatments, patients (with consent), and promotions.
• Assist in creating, editing, and storing digital content (images, videos, documents).
• Maintain online and offline data storage in a systematic way.
• Coordinate with marketing team for providing required content/data.
• Ensure confidentiality and security of clinic information.
• Support in daily admin & documentation tasks.

Requirements:

• Graduate / Diploma in IT, Media, or any relevant field.
• Basic computer skills (MS Office, Google Drive, Excel).
• Knowledge of photo/video editing software (basic level).
• Good organizational & multitasking skills.
• Freshers with digital interest can also apply.

Perks & Benefits:

• Salary: ₹10,000 – ₹0,000 per month.
• Learning opportunities in healthcare & digital media.
• Professional growth with supportive team.
• Exposure to data, content & operations management.

Job Type: Full-time

Pay: , ,000.00 per month

Work Location: In person

JOB DETAILS:

Job Title: Data Management

Locations: Hyderabad

Experience Range: 3 to 5 years

Required Skills: HCM- Workday and Successfactors

Job Description:

Advanced capability with Microsoft Office suite, especially advanced skills in Microsoft Excel

* Has experience in processing employee transactions in the HRIS systems, working with HR systems or organizational design platforms like SaaS products including OrgVue

* HCM experience - SAP, SuccessFactors or Workday

* Data analysis skills are essential

• A data management manager oversees an organization's data strategy, ensuring the collection, organization, storage, security, and analysis of data to support business decisions. Key responsibilities include developing and implementing data management policies, ensuring data quality and integrity, managing databases, providing data-driven insights to stakeholders, and ensuring compliance with relevant laws and regulations. This role requires strong analytical, problem-solving, and communication skills, often with a background in computer science, statistics, or a related field. Key Responsibilities
• Develop and Implement Data Strategies: Create and enforce policies and procedures for effective data management.

Required Skills & Qualifications

• Analytical & Problem-Solving Skills: The ability to interpret complex data and find solutions to data-related issues.
• Technical Expertise: Proficiency with data management tools, database systems, and programming languages.
• Attention to Detail: A strong focus on accuracy and data integrity.
• Communication Skills: The ability to convey complex information to both technical and non-technical audiences.
• Education: A background in computer science, statistics, mathematics, or a related field is often required, with many holding a Master's degree.

Common Job Titles

• Data Manager
• Data Management Specialist
• Data Management Executive
• Data Management Officer (DMO)
• Data Collection & Organization: Devise methods for collecting, organizing, and maintaining data.
• Data Quality & Integrity: Ensure the accuracy, reliability, and consistency of data across various sources.
• Database Management: Design, manage, and maintain databases and data storage systems.
• Data Security & Confidentiality: Implement security protocols and access controls to protect sensitive information.
• Data Analysis & Reporting: Analyze data to identify trends, generate insights, and create reports and visualizations for stakeholders.
• Compliance: Ensure that data practices comply with legal and regulatory requirements.
• System Improvement: Monitor and evaluate data systems, recommending improvements to hardware, software, and equipment.
• Collaboration: Work with IT, business, and analytics teams to understand data needs and develop data-driven solutions.

Job Type: Full-time

Pay: ₹10, ₹34,766.86 per month

Benefits:

• Food provided

Work Location: In person

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Data Management (Senior Data Engineer)
At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization. Fuelled by a US$1.5+B investment in technology and innovation, EY is primed to guide clients in their efforts to drive sustainable growth, create new value, and build new and better ways of working. As part of Enterprise Technology, you'll be at the forefront of integrating technology into what we do at EY. That means more growth for you, exciting learning opportunities, career choices and the chance to make a real impact.

The opportunity
EY's global enterprise technology group provides various enabling services (ERP, infrastructure, platforms, service desk) to assist over 300K employees in creating and delivering solutions and services to Fortune 500, privately held and government-like entities.

The Data Scientist will be responsible for leveraging the data lake to drive advanced analytics and predictive modelling initiatives. This role requires a combination of statistical expertise, machine learning knowledge, and the ability to derive insights from large volumes of complex data. The Data Scientist will work closely with business stakeholders to understand their challenges and develop data-driven solutions.

Key Responsibilities

• Design and implement modern data architectures using Azure Data Lake, Azure Synapse, Databricks, and Azure Data Factory.
• Build scalable and efficient ETL/ELT pipelines for structured and unstructured data.
• Lead the development of enterprise data models, data catalogs, and governance frameworks.
• Collaborate with data scientists, analysts, and business stakeholders to ensure data availability and quality.
• Implement CI/CD for data pipelines using Azure DevOps, GitHub Actions, or similar tools.
• Drive best practices in data engineering, data security, and cloud cost optimization.
• Lead and mentor a team of data engineers, providing technical direction and code reviews.
• Monitor, troubleshoot, and optimize data pipelines and jobs in production environments.

Required Skills & Qualifications:

• 7+ years of experience in data engineering with at least 1+ years in a leadership role.
• Strong expertise in Azure Data Platform: Data Factory, Data Lake Gen2, Synapse, Databricks, and Azure SQL/SQL MI.
• Proficiency in PySpark, SQL, and scripting languages (Python, Scala).
• Experience with Delta Lake, Unity Catalog, and medallion architecture (bronze/silver/gold layers).
• Solid understanding of data warehousing, data modeling, and data quality frameworks.
• Strong DevOps mindset with experience in CI/CD, Terraform, and Git-based development.
• Excellent problem-solving, communication, and team leadership skills.
• Bachelor's degree in computer science, Information Technology , Data Engineering, or a related field.

Preferred Qualifications:

• Azure certifications (e.g., DP-203, AZ-305).
• Experience with real-time streaming using Azure Event Hubs, Kafka, or Databricks Structured Streaming.
• Exposure to data governance tools (e.g., Purview, Unity Catalog).
• Master's degree in computer science, Information Technology
• Familiarity with machine learning pipelines and integration with Azure ML or Databricks ML

What We Offer
As part of this role, you'll work in a highly integrated, global team with the opportunity and tools to grow, develop and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial and social well-being. Your recruiter can talk to you about the benefits available in your country. Here's a snapshot of what we offer:

• Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.

EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Index Data Management Fixed Income Indices

The Role: The Associate, Index Data Management will be responsible for managing and analyzing fixed income reference data, ensuring the quality and accuracy of data used for the production and maintenance of S&P,Dow Jones and iBoxx-branded indices.

The Team: The Fixed Income Data Management team within the Global Index Management & Production Group (IMPG).

The Impact: The team member is responsible for the onboarding, management and quality assurance of a variety of data attributes used for the production and maintenance of S&P,Dow Jones and iBoxx-branded fixed income indices.

The team member will work with data from a wide range  of fixed income securities across global markets and must ensure quality, accuracy and timely delivery of these data points to internal stakeholders and external clients.

Whats in it for you: As a member of the fixed income index operations team, you will gain exposure to a variety of fixed income data sets and indices, collaborating with cross-functional teams to implement complex data processes and index calculation methodologies. This position offers opportunities for professional growth and development within a dynamic environment.

Responsibilities: The Team member will be required to:

• Manage the onboarding of new data feeds, ensuring seamless integration into existing systems.
• Master and analyze fixed income data sets to ensure accuracy and completeness.
• Conduct data quality checks and implement processes for data validation and verification.
• Collaborate with internal stakeholders to understand data requirements and deliver timely, accurate data for index calculations.
• Assist in the preparation of reports and presentations related to fixed income data analysis for internal and external clients.
• Support the broader team in resolving data-related issues and maintaining high standards of data quality.
• Work closely with technology teams to enhance data management systems and capabilities.
• Stay updated on market trends and developments in fixed income securities to inform data management policies and practices

What Were Looking For:

• Bachelors degree in business, finance, economics, mathematics, or a related field; advanced degree preferred.
• Minimum of 2 years of professional experience working with financial data, experience working  within the fixed income domain would be an advantage.
• Understanding of fixed income securities, reference data, and market practices.
• A basic understanding of how indices are used, the impact of different methodologies, corporate event events on both indices and financial portfolios
• Experience in onboarding new data feeds and mastering complex data sets.
• Excellent analytical skills and attention to detail, with a focus on data quality and accuracy.
• Strong organizational skills and the ability to manage multiple priorities in a fast-paced environment.
• Effective communication skills to liaise with various internal and external stakeholders.
• Familiarity with Python and SQL, as well as experience working with these tools for data analysis, would be an advantage.

The Location: Noida, India

Qualifications:

• Bachelor's or Master's degree in Data Science, Information Technology, Business Administration, or a related field.
• Proven experience in winning and delivering accounts within the data management domain or similar industries.
• 20+ years of experience in data-related project delivery, including 10+ years in a leadership or delivery management role.
• Strong knowledge of data engineering, data warehousing, data lakes, cloud platforms (e.g., AWS, Azure, GCP), and data governance frameworks.
• Experience with Agile, Scrum, and/or hybrid project management methodologies.
• Excellent leadership, communication, and stakeholder engagement skills.
• Proven ability to lead cross-functional teams in a matrixed organization structure.

Ability to oversee the technical aspects of data value chain

o Understand data ecosystem – data strategy aligning with business

goals, data governance, quality, medallion architecture, and so on

o Oversee the design and implementation of modern data platforms

o Manage proposals and projects involving cloud service providers

(e.g., AWS, Azure, Google Cloud)

o Ensure the efficient and secure integration of cloud services with

existing data systems

o Optimize cloud-based data storage and processing solutions for

performance and cost-effectiveness

-Experience with the key elements of data lifecycle while designing and

recommending data solutions to clients:

o Scalable Data Architectures

o Integration of various data sources, ensuring that data is collected,

processed, and made available in a structured manner.

o Data Security and Compliance: Ensure that data systems comply

with relevant security and privacy regulations, including GDPR,

HIPAA, etc., and are secure from threats.

o Data Pipeline Management: Design, development, and

optimization of data pipelines to ensure high-quality, efficient data

flow & storage.

o Performance Optimization: Continuously monitor and optimize

data workflows, addressing bottlenecks and improving speed.

o Ensure Data Quality: Robust data validation and quality checks to

ensure the accuracy, consistency, and completeness of the data

o Data Governance: Establish data governance frameworks,

policies, and processes to ensure proper data stewardship,

security, privacy, and compliance (e.g., GDPR, HIPAA).

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

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Information Technology, Business Administration, or a related field.
• Proven experience in winning and delivering accounts within the data management domain or similar industries.
• 20+ years of experience in data-related project delivery, including 10+ years in a leadership or delivery management role.
• Strong knowledge of data engineering, data warehousing, data lakes, cloud platforms (e.g., AWS, Azure, GCP), and data governance frameworks.
• Experience with Agile, Scrum, and/or hybrid project management methodologies.
• Excellent leadership, communication, and stakeholder engagement skills.
• Proven ability to lead cross-functional teams in a matrixed organization structure.

Ability to oversee the technical aspects of data value chain

o Understand data ecosystem – data strategy aligning with business

goals, data governance, quality, medallion architecture, and so on

o Oversee the design and implementation of modern data platforms

o Manage proposals and projects involving cloud service providers

(e.g., AWS, Azure, Google Cloud)

o Ensure the efficient and secure integration of cloud services with

existing data systems

o Optimize cloud-based data storage and processing solutions for

performance and cost-effectiveness

-Experience with the key elements of data lifecycle while designing and

recommending data solutions to clients:

o Scalable Data Architectures

o Integration of various data sources, ensuring that data is collected,

processed, and made available in a structured manner.

o Data Security and Compliance: Ensure that data systems comply

with relevant security and privacy regulations, including GDPR,

HIPAA, etc., and are secure from threats.

o Data Pipeline Management: Design, development, and

optimization of data pipelines to ensure high-quality, efficient data

flow & storage.

o Performance Optimization: Continuously monitor and optimize

data workflows, addressing bottlenecks and improving speed.

o Ensure Data Quality: Robust data validation and quality checks to

ensure the accuracy, consistency, and completeness of the data

o Data Governance: Establish data governance frameworks,

policies, and processes to ensure proper data stewardship,

security, privacy, and compliance (e.g., GDPR, HIPAA).