3,995 pharmaceutical data analyst jobs in India.

... data to data science and business intelligence teams. Implement data quality frameworks incorporating validation, profiling, and anomaly detection to ensure data trustworthiness. Establish and maintain metadata management and data lineage tracking to provide transparency into data origins, transformations, and usage. Define ...

Data Migration Engineers Summary We are seeking an experienced Data Migration Engineer to lead critical data transformation initiatives within our IT Services sector. This pivotal role involves orchestrating the seamless transfer of complex datasets from legacy systems to modern architectures, ensuring data integrity, accuracy, ...

... protection standards.- Collaborate with stakeholders to establish data strategies and roadmaps for future-state https://jobeax.com/link/eg6iTzFmwFrzJtds Skills :- Data Architecture: Enterprise Data Architecture, Data Modelling, Data Integration, Data Warehousing, Data Lakes, Lakehouse Architecture- Databases: Oracle, SQL Server, ...

... prospect of working in a distributed team and company, working with teammates from all over the world. - Experience in designing, building, and maintaining scalable data architectures that integrate disparate data sources. - Strong fundamentals in distributed systems, data storage, and data modeling - Hands-on experience with ...

... Services team to support the enterprise data platform of one of India's largest financial institutions. The platform spans Cloudera on AWS, an on-premises Oracle data warehouse, Oracle GoldenGate replication, Apache Spark and Alation for data governance. Role summary Protect the enterprise data platform by managing access, ...

... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. ...

... teams who build on them - Hands-on with Kubernetes and Terraform - Experience running Kafka (or a similar broker) in event-driven systems - Working knowledge of Databricks/Spark, dbt, and Airflow - Solid grasp of data modeling, data quality, and relational and non-relational databases (e.g., Postgres, SQL Server) - Comfortable ...

... production-ready code and perform data analysis with Python and SQL Create workflows for model development and apply feature engineering methods Use Azure AI Search to make data and models easier to consume for business needs Coordinate with developers and project managers using GitLab and Jira Refine data pipelines and tune model performance ...

... new versions • Perform data mapping activities to describe source data, target data and the high-level or detailed transformations that need to occur; • Assist Data Analyst team in developing KPIs and reporting in tools viz. Power BI, Tableau • Data Integration, Transformation, Modelling • Maintaining all relevant documentation ...

... their role, deliver global projects, local enhancements, and break-fixes. Keys to Success: Experience Data Management & Development - Take an active part in the Data Engineering efforts and building of the Data platform required by the business. - Design, develop, and maintain data ingestion, data processing, and data pipelines ...

... (Pandas, Polars) and modern big data tools such as Databricks (Spark), Flink, or Kafka. - Strong understanding of data pipeline development, ETL frameworks, and data lakes/warehouses. - Extensive experience with cloud data platforms such as AWS (S3, Redshift, Lambda, Glue), GCP (BigQuery, Dataflow, Dataproc), or Snowflake. ...

... engineering team dedicated to advancing your skills and career in data engineering and beyond. What you'll do - Collaborate with engineers, product managers, and data scientists to understand data needs, and develop end-to-end data pipelines, solutions, and foundational data sets - Design and own the data architecture for large-scale ...

... Identifies ways to improve data reliability, efficiency and quality of data management. ● Assesses the integrity of data from multiple sources. ● Works in tandem with Data Architects, Data Stewards and Data Quality Engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality ...

... in our trading and support data that standard vector search misses.- Automated Data Labeling & Synthetic Data : Implement pipelines using LLMs to auto-label datasets or generate synthetic edge cases for agent training and evaluation.- Stream Processing for Agents : Build real-time data "listeners" (Kafka/Flink) that feed ...

... 4+ years of experience with Big Data pipelines or DAG Tools (such as Airflow, Dbt, Data Factory, or similar). - 4+ years of Spark experience, especially with Databricks Spark and Delta Lake. - 4+ years of hands-on experience implementing Big Data solutions in a cloud ecosystem, including Data/Delta Lakes. - 5+ years of ...

... equivalent work experience - Experience managing teams of 10+ resources including full time, contract and/or vendor resources - 8+ years of experience in Big Data systems, Data Lakes and Analytics related field managing Build & RUN teams - Knowledge in Data Movement Technologies and Cloud Data Warehouse technologies including ...

... classification, clustering, and anomaly detection Conduct statistical data analysis and apply machine learning techniques Manage complete project delivery from data preparation to model evaluation Utilize Python programming and SQL for data manipulation and analysis Engage in ML Ops and model development workflows Create ...

... leveraging internal and external data. - Develop and maintain a data science use-case roadmap aligned with business priorities and product objectives. - Act as a data strategist by identifying new datasets and analytical capabilities that can enhance existing products and enable new data-driven solutions. - Translate business ...

... for relevant pharmaceutical analytics use cases. - Identify opportunities to improve customer engagement, campaign performance, and commercial outcomes through data-driven strategies. 4. Technical Leadership and Best Practices - Lead, mentor, and develop a team of data scientists and analysts, fostering technical excellence ...

... Key Responsibilities - Design and build scalable data pipelines and data-platform components. - Develop ETL/ELT workflows and data transformations. - Implement data-quality validation, testing and monitoring. - Optimize data-processing performance and reliability. - Automate deployments and support production data services. ...