11254 Data Quality Jobs - Page 9

Azure data bricks developer with 5- 6 years of experience We are seeking a skilled Azure Databricks Developer to design, develop, and optimize big data pipelines using Databricks on Azure. The ideal candidate will have strong expertise in PySpark, Azure Data Lake, and data engineering best practices in a cloud environment. : Design and implement ETL/ELT pipelines using Azure Databricks and PySpark. Work with structured and unstructured data from diverse sources (e.g., ADLS Gen2, SQL DBs, APIs). Optimize Spark jobs for performance and cost-efficiency. Collaborate with data analysts, architects, and business stakeholders to understand data needs. Develop reusable code components and automate w...

We are seeking an experienced ADF Developer with strong expertise in ETL development and hands-on experience using Azure Data Factory (ADF) along with Python or Java. The ideal candidate will be responsible for designing, developing, and maintaining robust data integration pipelines and workflows across multiple systems to support analytics and reporting initiatives. Design, develop, and deploy ETL pipelines using Azure Data Factory (ADF). Integrate data from multiple on-premise and cloud-based sources into the data warehouse environment. Develop and maintain data transformation logic using Python or Java. Optimize and troubleshoot ADF pipelines for performance, reliability, and scalability....

Accountable for Data Quality solution design, development, deploy using Informatica IMDC Cloud Data Quality platform across Data Migration/ Conversion Projects and Steady State. Build DQ solution design or architecture, define best practice, develop re-usable & scalable DQ solution. Implement POC/ Pilot for DQ Solution using Informatica IDMC Cloud Data Quality and Integration. Provide technical support and guidance to team on IDMC services CDQ, CDI, CDP, CDGC, etc. Lead business and technical discussions, educate & drive adoption of the DQ Solution/ tools. Partner with Global & Enterprise data teams and consult on data quality capabilities to define, Implement and socialize data definitions,...

Advanced Data Analysis & Strategy: Leads the collection, processing, and analysis of complex datasets. Designs scalable data pipelines and reporting systems to support strategic decision-making. Reporting Architecture & Visualization: Develops and optimizes enterprise-level dashboards and reports using tools like Power BI and SQL. Ensures visualizations are intuitive, impactful, and aligned with business goals. Statistical Modeling & Predictive Analytics: Applies advanced statistical methods and machine learning techniques to uncover trends, forecast outcomes, and support data-driven strategies. Process Optimization & Automation: Identifies and implements opportunities to automate data workf...

Job Accountabilities Hands on Experience in Azure Data Components like ADF / Databricks / Azure SQL Good Programming Logic Sense in SQL Good PySpark knowledge for Azure Data Bricks Data Lake and Data Warehouse Concept Understanding Unit and Integration testing understanding Good communication skill to express thoghts and interact with business users Understanding of Data Security and Data Compliance Agile Model Understanding Project Documentation Understanding Certification (Good to have) Domain Knowledge Mandatory skill sets Azure DE, ADB, ADF, ADL Preferred skill sets Azure DE, ADB, ADF, ADL Years of experience required 4 to 7 years Education qualification Graduate Engineer or Management G...

Data Architecture Leadership: Design and evolve enterprise-grade data architectures to support subscription analytics, customer lifecycle insights, and AI/ML applications. Define and implement data modeling standards, governance frameworks, and integration strategies across cloud and hybrid environments. Subscription Analytics Enablement: Architect data pipelines and analytical models to support metrics such as ARR, churn, renewal rates, customer health scores, and usage patterns. Collaborate with product, finance, and commercial teams to align data structures with subscription KPIs and business outcomes. AI & Advanced Analytics: Partner with data science teams to operationalize machine lear...

Must have 4+ years of IT experience, relevant experience of at least 2 years in Snowflake. In-depth understanding of Data Warehousing, ETL concepts and modeling structure principles Experience working with Snowflake Functions, hands on exp with Snowflake utilities, stage and file upload features, time travel, fail safe,procedure writing,tasks,snowpipe, SnowSQL Knowledge on Snowflake Architecture Good knowledge of Advanced SQL with Joins, Views/Materialized, various Functions, Dimensional Data Modeling and ETL procedures using SQL. Experience in Python functional programming is a must with Pandas, Apache Airflow etc., Basics of ML & Gen AI Expertise on engineering platform components such as ...

Strategic Leadership: Define and execute the strategic vision for DevSecOps, DataOps, and AI-MLOps practices, aligning them with business goals and industry best practices. Team Management: Lead, mentor, and grow a team of engineers, architects, and specialists. Foster a collaborative and innovative environment. Practice Development: Establish and refine processes, standards, and tools for secure software development, data goverce, and AI/ML model deployment. Security Integration: Champion a security-first culture by embedding security practices throughout the software development lifecycle. Data Goverce: Ensure data quality, integrity, and compliance with regulatory requirements. Automation...

. Minimum 4+ years of hands-on experience in Azure Databricks and PySpark for developing end-to-end ETL pipelines. . Proven experience in ETL testing, including Master Data Management (MDM), Data Completeness, Data Cataloging, Data Lineage, and Data Quality validation across various source data feeds. Secondary/ Good to have: . Prior experience in the Banking domain, particularly in Regulatory Reporting, will be an added advantage. Skills: Informatica Master Data Management Scala SQL

Azure data bricks developer with 3-6 years of experience We are seeking a skilled Azure Databricks Developer to design, develop, and optimize big data pipelines using Databricks on Azure. The ideal candidate will have strong expertise in PySpark, Azure Data Lake, and data engineering best practices in a cloud environment. : Design and implement ETL/ELT pipelines using Azure Databricks and PySpark. Work with structured and unstructured data from diverse sources (e.g., ADLS Gen2, SQL DBs, APIs). Optimize Spark jobs for performance and cost-efficiency. Collaborate with data analysts, architects, and business stakeholders to understand data needs. Develop reusable code components and automate wo...

Ansell Medical Products Pvt. Ltd. is looking for Analyst, Master Data Management to join our dynamic team and embark on a rewarding career journey The Senior Analyst plays a crucial role in driving data-driven decision-making processes within the organization This position involves analyzing complex data sets, generating actionable insights, and providing strategic recommendations to support key business initiatives Key Responsibilities:Data Analysis:Conduct in-depth analysis of large and complex datasets to extract meaningful insights Utilize statistical and data visualization tools to present findings in a clear and concise manner Strategic Planning:Collaborate with cross-functional teams ...

Drive profitable acquisitions in Direct Mail channel by meeting ROI / Acquisition / Revenue goals with optimization, experimentation and analytics driven insights. Define, Design, Create, and Implement data science & analytical solutions required throughout the life cycle of a Direct Mail campaign starting from lead generation all the way to performance measurement. Collaborate with stakeholders within GCS Prospect marketing, Finance and investment optimization on various initiatives including setting goals for the channel / influencing data-driven strategy changes / introducing offer personalization etc. Researching and evaluating new commercial data sources working with external data vendo...

Working closely with State officials in ensuring government system strengthening and institutionalization of RtR programs in the states. Preparation of overall strategic plan, basis local context and RtR Vision plan 2025 for the respective state and continuously reviewing the same. Organizing various discussions/consultations with Government to work towards system strengthening and positioning RtR as a thought leader in Literacy and Girls Education program. Building body of evidence that can push appropriate policy/practice changes backed by robust evidence. Support INCO Op s in proposal development and country growth plan as needed External Coordination, branding, and Networking: Attends to...

System strengthening and system integration: Working closely with State officials in ensuring government system strengthening and institutionalization of RtR programs in the states. Preparation of overall strategic plan, basis local context and RtR Vision plan 2025 for the respective state and continuously reviewing the same. Organizing various discussions/consultations with Government to work towards system strengthening and positioning RtR as a thought leader in Literacy and Girls Education program. Building body of evidence that can push appropriate policy/practice changes backed by robust evidence. Support INCO Op s in proposal development and country growth plan as needed External Coord...

Design and document significant components of the end-to-end architecture for the media data lake on Azure, ensuring alignment with the medallion architecture (Bronze, Silver, Gold layers). Develop, implement, and oversee Quality Assurance strategies, test plans, and processes for data pipelines, data transformations, and overall data integrity within the data lake. Define and enforce data quality standards, metrics, and validation routines across all layers of the data lake. Collaborate closely with data engineers to integrate QA processes throughout the development lifecycle, from design to deployment. Contribute to the establishment and enforcement of data modeling standards, data governa...

Design, develop, and maintain scalable and efficient data pipelines and infrastructure to support autonomous driving research and development. Extract, transform, and load (ETL) data from various sources, including sensors, simulations, and databases. Collaborate with data scientists, researchers, and engineers to understand data requirements and translate them into technical solutions. Develop and optimize data storage and retrieval strategies, ensuring data quality and integrity. Implement data governance and security measures to protect sensitive data. Monitor and troubleshoot data pipelines and systems to identify and resolve issues promptly. Continuously explore and evaluate new data te...

Develop a deep understanding of different types of data, metrics, and KPIs to identify and formulate data science problems that drive impactful solutions. Proficiency in Python/PySpark for AI development, data preprocessing, and scripting. Strong understanding of core machine learning and statistical concepts including supervised, unsupervised, and reinforcement learning, feature engineering, and model optimization. Handson experience in building, training, and deploying ML models for use cases such as prediction, recommendation, NLP, and computer vision. Proficiency in Python and machine learning libraries such as scikitlearn, TensorFlow, PyTorch, XGBoost, and Hugging Face Transformers. Fam...

Work with reputed multi-national client from the automobile industry. Provide insight driven reporting solutions and actionable next steps for the client while collaborating with multiple stakeholders. Dynamic, Progressive Environment: Join a team that prioritizes continuous learning and development, fostering a culture of innovation and growth. In this role, your goals will be: In Three Months Gain a deep understanding of the client s data ecosystem and existing data reporting deliverables. Collaborate with client, internal teams & stakeholders to identify key priorities and opportunities for data-driven strategies. In Six Months: Become a SME to the client with actionable insights using Da...

Develop robust data management, data integration and data quality processes by leveraging best-in-class technology Innovate with a focus on developing newer and better approaches using big data technologies Find innovative techniques to bring scale to critical initiatives and enhance productivity Manage world class data products by partnering with enterprise teams including Technology, Design and End-Users to enable building of new capabilities, modules, and maintenance of existing assets. Minimum Qualifications: Strong analytical and problem-solving skills Effective communication and interpersonal skills Ability to solve unstructured problems Ability to work effectively in a team environmen...

SUMMARY W issen Technology is H iring for Business Analyst (Risk Data Analysis) About Wissen Technology: At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia . Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain kno...

We are currently seeking a Senior Clinical Data Science Programmer to join our diverse and dynamic team. As a Senior Clinical Data Science Programmer at ICON, you will play a pivotal role in developing and implementing programming solutions to support the analysis and reporting of clinical trial data. You will contribute to the advancement of innovative treatments and therapies by ensuring the accuracy and efficiency of data processing through your programming expertise. What You Will Be Doing: Developing, validating, and maintaining programming solutions for data analysis and reporting in clinical trials. Collaborating with clinical data scientists and biostatisticians to ensure the integra...

We are seeking a Data Engineer (Data Virtualization & CCaaS) to design, build, and support scalable data solutions across hybrid on-premises and cloud environments. The ideal candidate will have hands-on experience with contact center data platforms (CCaaS), data integration, and virtualization frameworks. This role involves collaborating with cross-functional teams to develop reliable data pipelines, enable seamless data access, and support analytics and reporting initiatives that drive operational efficiency and business insights. Responsibilities : Develop and maintain data pipelines to integrate and transform data from Genesys (InfoMart, GAAP, SpeechMiner) and cloud-based CCaaS platforms...

Technology-> Business Intelligence - Reporting-> SAP BW,Technology->SAP Technical->SAP BW on HANA->SAP BW4HANA SAP HANA certification(s). Experience with SAP BW/4HANA. Experience with data integration technologies. Familiarity with data governance and data quality processes. Exposure to predictive analytics and machine learning concepts. We are hiring for SAP BW Hana profile. Experience: 3-5yrs Education: BE/B.Tech/ME/M.Tech

Not Applicable Specialism Data, Analytics AI Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Summary Responsibilities Job description Perform analysis of business requirements and develop logical and physical data models for data warehouse to support them Extensive experience in leading ETL tools like Informatica, Talend, Snaplogic Provide guidance in the administration of the ETL tools including developing best practices of development, administering secu...

AWS Data Engineer Design and build scalable data pipelines using AWS services like AWS Glue, Amazon Redshift, and QS/SNS/Cloudwatch/Step function/CDK. Develop efficient ETL processes for data extraction, transformation, and loading into data warehouses and lakes. Create and manage applications using Python, Pyspark, SQL, Databricks, and various AWS technologies. Automate repetitive tasks and build reusable frameworks to improve efficiency. Involved in Arch Design and Review, Team Leadership Skills, Management Skills, Involved in Code Review Sign-Off SQL - Expert (Must have) AWS (Redshift / Lambda / Glue / SQS / SNS / Cloudwatch / Step function/CDK)) - Expert (Must have) Pyspark -Expert Pytho...