4,013 data privacy analyst jobs in India.

... workflows. - Contribute to improvements in data quality, monitoring, and availability, and help onboard new data sources in collaboration with the team. - Implement data quality checks and tests within the team's data quality framework. - Maintain accurate entries in the enterprise-wide data dictionary for the datasets and pipelines ...

... for a highly skilled Data Engineer with a strong foundation in Power BI, SQL, Python , and Big Data ecosystems to help design, build, and optimize end-to-end data solutions. The ideal candidate is passionate about solving complex data problems, transforming raw data into actionable insights, and contributing to data-driven ...

... Net Zero by 2040. What you'll be doing Build, maintain, and monitor automated data pipelines on the Group's cloud data platform, transforming raw transactional data into reporting schemas and developing BI dashboards to deliver reliable, analytics-ready data. • Build, maintain, and monitor automated ETL/ELT data pipelines ...

... experienced Data Engineer to manage in-progress and upcoming data infrastructure projects. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline ...

Purpose of Job We are looking for a Senior Data Engineer who is equally strong on the data side (modelling, data quality, SQL, understanding the business) and the engineering side (Python, PySpark, CI/CD, performance, reliability). You will own the design and delivery of production data platforms from requirements to production ...

... scalable data pipelines and third-party API integrations. - Work with business teams and analysts to interpret business rules and derive insights. - Implement data-quality processes, monitoring, and alerting to maintain accurate and available production data. - Analyze and troubleshoot data issues and assist with their resolution. ...

... Data Frames using PySpark • Conduct complex data analysis and report on results. • Combine raw information from different sources. • Explore ways to enhance data quality and reliability. Required Skills: • 4-5 years of data engineering experience loading, analyzing and interpreting data. • Solid experience with AWS Glue, ...

... troubleshooting, and incident resolution. - Build business data warehouse solutions using Terradata for business intelligence. Our core data platform stack includes: Data Platform & Lakehouse - Databricks as the single point of truth for all data - Realtime Data Pipelines implemented using Kafka for data ingestion. - Databricks ...

... AWS, Azure, or GCP. - Execute complex data transformation processes to convert raw data into usable formats for analysis and reporting. - Implement and monitor data quality frameworks to ensure the integrity, consistency, and reliability of all data assets. - Optimize database queries and data models to enhance system performance ...

... (e.g., Apache Spark, Hadoop) and real-time data processing solutions - Understanding of data governance, data quality, and security best practices - Knowledge of data streaming technologies such as Kafka, AWS Kinesis, or equivalent - Ability to work directly with data scientists, analysts, and cross-functional teams to understand ...

... quality and reliability - Lead data pipeline projects from inception through deployment, managing scope and timelines - Collaborate with cross-functional teams, data architects, and business stakeholders to define requirements - Implement data security, privacy measures, and governance best practices using cloud platforms ...

... and analytics. - Implement data quality checks, validation frameworks, monitoring, error handling, and pipeline performance improvements. - Collaborate with Data Analysts, Data Scientists, Product Teams, and Business Stakeholders to understand requirements and deliver scalable data solutions. - Follow data engineering ...

... members to meet established timelines. Requirements - 3–5 years of experience. - Knowledge of SQL and Python. - Experience or knowledge of data engineering, data modelling, ETL/ELT development, data pipelines, cloud data platforms, database management, data warehousing, and data lakes. - Knowledge of data analysis, business ...

... execution hints to improve performance. - IBM DataStage experience preferred. - Able to write SQL code sufficient for most business requirements for pulling data from sources, applying rules to the data, and stocking target data - Proven track record in troubleshooting ETL jobs and addressing production issues like performance ...

... end-to-end data pipelines and ETL/ELT processes across systems - Build and optimize data solutions for collection, processing, and quality assurance - Implement data security, privacy measures, and governance frameworks to protect sensitive information - Collaborate with cross-functional teams including Data Architects, Business ...

... shape how a scaling global company operates—keep reading. What You'll Do - Build and maintain batch and streaming pipelines that ingest, clean, and transform data from device SDKs, internal services, partner APIs, and third-party data providers - Write and own backend services and RESTful APIs that serve data to internal ...

Baxter seeks a Data Engineer to develop and support ETL and data transformation jobs using PySpark and IBM DataStage in AWS. The role involves building new pipelines, enhancing existing systems, performing code reviews, and providing technical support for a global data warehouse. Responsibilities - Develop new ETL and data ...

... Specialize search engine and language models in identifying companies - Generate visual and textual explanations for AI model predictions MAIN RESPONSIBILITIES: - The Data Lab brings together Data Science and Software engineering skills to develop and deploy solutions that improve the company's processes, products and services. ...

Amgen seeks a Data Scientist, Forecasting to develop statistical, Bayesian, and machine learning models supporting demand forecasting and business decision-making across the organization. The role involves analyzing complex datasets, building simulation capabilities, and communicating insights to diverse stakeholders within ...

... Responsibilities - Design and implement advanced statistical models and machine learning algorithms to solve complex business challenges. - Perform comprehensive data preprocessing and exploratory data analysis (EDA) to uncover hidden patterns and trends. - Develop intuitive and impactful data visualizations to communicate ...