4,015 data privacy analyst jobs in India.

... building Robust Data pipelines using mentioned tech stack with CI/CD. · Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and stakeholders, to understand their data needs and deliver solutions. · Data Quality: Implement data validation and cleansing processes to ensure data accuracy, ...

... experience building and operating cloud-based data pipelines, preferably in AWS. - Have hands-on experience with Snowflake, dbt, and Terraform. - Have experience with data ingestion, streaming, and event-driven architecture, such as Kafka, CDC, and Snowpipe. - Understand data security, data privacy, and data modeling best practices. ...

... capabilities like macros, packages, custom tests, and version control. Data Ingestion & Transformation: Lead the ingestion of structured and semi-structured data from APIs, cloud storage, and databases. Write robust Python scripts for data transformation, automation, and integrations. Project Ownership & Leadership: Manage ...

... and deadlines. -Work closely with other IT professionals, including database administrators, dataanalysts, and developers, to ensure that the organization's data architecture is integrated and aligned with other IT systems and applications. -Stay up to date with new technologies and trends in data management and architecture ...

... backed by Sanabil Investments, a wholly owned company of the Public Investment Fund (PIF), and SNB Capital, among others. Your Role We are looking for a Senior Data Engineer to join the team building Tamara's next-generation data core - a multi-cloud data platform spanning Event Streaming, Data Warehousing, and Experimentation. ...

... Specialist, Certified Data Analyst or Server Certified Associate). - Exposure to other BI tools such as Power BI or Oracle Analytics Cloud. - Experience with cloud data platforms (Snowflake, Databricks, AWS, Azure or GCP). - Domain experience in BFSI, healthcare, retail or manufacturing. - Familiarity with Agile/Scrum delivery. ...

... in data architecture and engineering to drive high-quality data solutions that support organizational goals. Responsibilities - Design and implement scalable data models and comprehensive data architectures to support enterprise needs. - Establish and enforce rigorous data validation protocols to ensure high data quality ...

... Computer Engineering, Software Engineering, Data Science, Information Systems, or a related field. - With at least 8-12 years of experience in Data Engineering, Data Platform Development, Data Warehousing, or related data and analytics roles. - Strong hands-on experience with: - Databricks - Azure Databricks - Databricks Mosaic ...

We are looking for a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation. The mandatory requirements are 5+ years of experience with Databricks and PySpark, advanced SQL, hands-on GCP experience, and experience ...

... ETL/ELT data pipelines, APIs, and microservices for high-volume regulatory and health agency datasets. - Data Reliability & Integrity: Identify root causes of data quality issues and implement automated testing, monitoring, and validation frameworks to ensure data accuracy. - System Integration & ML: Integrate data processing ...

... be good with Master Data Management, Migration and Governance best practices - Extensive data quality and data migration experience including proficiency in data warehousing, data analysis and conversion planning for data migration activities - Lead and build data migration objects as needed for conversions of data from ...

... be responsible for designing, developing, and supporting enterprise-scale data solutions that manage market data, security master data, trade data, position data, and investment analytics workloads across the Asset Management landscape. - The role requires strong technical expertise across data engineering, cloud data ...

... runbooks and SLAs) for production pipelines. - Troubleshoot and support production pipelines, performing root-cause analysis and driving lasting fixes; apply data security, privacy and access-control practices appropriate to sensitive customer data. - Collaborate with Data Engineers, Platform Engineers, DevOps, Architects ...

... https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities : - Design, build, test and deploy scalable and reusable systems that handle large amounts of data.- Collaborate with product owners and data scientists to build new data products.- Ensure data quality and https://jobeax.com/link/ZxjpPrDBru7W4ePm Skills : - Experience designing and managing data flows.- ...

... ecosystems.- Develop and optimize Neo4j graph database solutions for enterprise-scale applications.- Write, enhance, and optimize Cypher queries for efficient data ingestion, retrieval, and analysis.- Build and maintain data pipelines for loading and processing large volumes of data.- Implement data loading solutions into ...

About the Opportunity We are seeking analytical and technically proficient Junior Data Scientists to contribute to an AI model evaluation project focused on statistics, machine learning, experimentation, and quantitative reasoning. You will evaluate AI-generated responses to data science problems, develop prompts and reference ...

... Writing/Reading ability & a love for books, would be advantageous. A curiosity about cities/places & travel, would be preferred. Work Experience : 1 to 5 years as an Analyst dealing with big data Skill(s) required Big Data Analytics Cultural Awareness Data Analysis Data Interpretation Economics English Proficiency (Spoken) English ...

... overseeing data platform strategy, engineering squad leadership, and talent development for scientific research initiatives. Hybrid position requiring extensive data engineering expertise and proven people leadership in enterprise environments. Responsibilities - Partner with scientific data product teams to define data priorities ...

... across the relevant business unit. • Lead wide-scale adoption of modern data architectures (e.g. data mesh, data[1]as-a-product). • Architect and govern cloud data platforms, migration strategies, and cost[1] optimised solutions. • Define and oversee implementation of data privacy, security, and entitlements frameworks. ...

... Administration, or a related field. - 6+ years of experience in Data Governance, Data Management, Data Quality, or related functions. - Proven track record working as a Data Coordinator or Lead Data Steward, Data Governance Lead, or similar role. - Experience collaborating with Data Owners, Data Product Managers, and enterprise governance ...