3,945 pharmaceutical data analyst jobs in India.

... existing Databricks workflows supporting data science, analytics, and AI/LLM workloads. Evaluate and improve the quality, reliability, and performance of existing data pipelines through rigorous testing, monitoring, and evaluation. - Integrate applications with LLM APIs, databases, enterprise data sources and other services. ...

... improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we can work together . What Will You Do - Work with data scientists, data analysts, computational engineers, machine learning engineers, software developers, or business representatives across our global organization ...

... Synapse, Databricks, Azure SQL, SAP, XML, flat files, and databases . - Develop ETL/ELT solutions using SQL, Python/PySpark, Spark , and Azure services. - Perform data modeling, data warehousing, data governance, metadata, and data quality activities. - Optimize pipeline performance and ensure adherence to IFC technical standards. ...

... problems. - Collaborate with data analysts, data scientists, and development teams. - Document findings, methodologies, and project outcomes. - Support ongoing data science and analytics projects. Requirements - Python - SQL - Pandas - NumPy - Data Cleaning & Preprocessing - Exploratory Data Analysis (EDA) [{"name": "full_time", ...

... Enter and update data accurately in Google Sheets, internal trackers, and government portals - Follow up with students, trainers, and internal teams to close data gaps and missing documents - Validate collected data for completeness, format consistency, and duplicate entries before submission - Maintain a clean master tracker ...

... get the high-quality data they need to make decisions. We are looking for: Data Ingestion Engineer You’ll break new ground by: - Taking end-to-end ownership of data ingestion pipelines — from SAP source extraction through to structured, consumption-ready data in Snowflake. - Designing and implementing scalable DataOps practices ...

... enforce data quality checks and validation mechanisms. ​​​​​​​Collaboration and Stakeholder Engagement: - Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to deliver impactful data solutions. - ​​​​​​​Understand business requirements and translate them into technical ...

... demonstrating expertise in scalable and efficient data processing. In This Role, You Will: Data infrastructure and processing: - Lead the design and development of data pipelines for seamless integration of data from various sources into the G2 Data Platform. - Optimize data pipelines, ensuring cost effectiveness, scalability, ...

... Stay updated on trends in data engineering, analytics, and visualization https://jobeax.com/link/TrTcXBMXG9SbMxeG :- Bachelor's degree in computer science, IT, Data Science, or related field.- 4 - 5 years experience with SQL databases, data pipelines, and ETL.- Strong SQL skills in database design, optimization, and queries.- ...

... management and integration with current architectural and data governance guidelines with reduced oversight required of leadership. Produces data building blocks, data models, and data flows for varying client requests such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science ...

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 ...

Technical Skills Many years of expertise in Azure Data Factory Databricks Snowflake ADF pipelines Data Modelling Databricks notebooks ELT/ETL processes SQL statements SQL scripts Teradata Knowledge is an added advantage Responsibilities Work Result: Developement Skill Area: Data Management & Analytics Technology: Snowflake ...

... 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 ...

Job Description We are seeking a hands-on Data Engineer to support a large-scale data platform modernization initiative. You will migrate approximately 1,000 datasets to Snowflake, adapt existing pipelines, and help deliver reliable orchestration with Apache Airflow 3. The architecture and technical approach are already ...

... migrations). • Experience using AI tools for development. WHAT YOU WILL DO • Work embedded within the data engineering function, partnering closely with the data platform team to support a large-scale data platform modernization effort. • Execute the migration of approximately 1,000 datasets to Snowflake. • Adapt existing ...

... technologies in Cloud, Big Data, Data Engineering, AI/ML, and Modern Data Architecture . Required Skills & Experience - 5+ years of experience in Data Engineering / Data Architecture / Data Platforms . - Strong experience in designing enterprise-scale data architectures . - Excellent knowledge of Data Warehousing, Data Lakes, ...

... MDG COE - Global Data Expert in Pune. Join a global Finance Master Data Governance team that helps safeguard the quality, consistency and reliability of the data underpinning financial processes worldwide. As Global Data Expert, you will act as a trusted operational data custodian and partner with regional Finance, Data ...

... troubleshooting capability Extensive experience with ETL concepts & technologies, Data migration testing, Data warehouse testing, and BI Reporting Extensive experience in data automation using Python High level of Proficiency in writing complex SQL queries in Azure Databricks from Business requirements to read data from source DB hosted ...

... for our next Data Intelligence Manager to have the following skills and experiences: - 3-5 years of experience in a data analytics, business intelligence, or data intelligence role - Strong proficiency in SQL and hands-on experience building dashboards in Power BI - Experience working with large datasets across multiple ...

... scalable. These are the essentials you’ll need to get an interview - Hands-on experience in a data-focused role (for example, data specialist, data analyst, data migration, or similar) in a professional environment. - Strong skills in Microsoft Excel, including advanced functions for manipulating and analysing data. - ...