134 data entry clerk jobs in Chennai, India.

Job Overview We are looking for an accurate and detail-oriented Data Entry Specialist to manage company records and update databases. You will turn raw data into clean digital information. Key Responsibilities - Type Data: Enter numerical and text data from paper documents into digital systems. - Verify Information: Check ...

... Develop data ingestion pipelines from relational databases, files, and APIs into Snowflake.- Build and maintain data transformation pipelines using dbt.- Implement data pipelines using the Medallion Architecture (Bronze, Silver, and Gold layers).- Develop reusable, metadata-driven ingestion frameworks.- Implement data quality ...

... date with the latest developments in data science and machine learning https://jobeax.com/link/oLVyX1MEk3pHDZEY Stack : - Programming : Python, R, or Scala- Data Analysis : Pandas, NumPy, scikit-learn- ML Frameworks : TensorFlow, Keras, or PyTorch- Visualization : Tableau, Power BI, or Matplotlib- Databases : SQL- Big ...

Pfizer seeks a Senior Associate for Central Monitoring and Data Surveillance in clinical data sciences. This role involves establishing and maintaining risk-based monitoring systems, ensuring data quality and regulatory compliance across clinical trial databases, and coordinating with global study teams to manage signals ...

... efficient data processing. - Hands-on experience with Databricks for unified analytics and collaborative data engineering. - Proficient in DBT (Data Build Tool) for data transformation and modeling within modern data stacks. - Skilled in orchestrating workflows using Apache Airflow to automate complex data pipelines. - Strong ...

... with building testing and maintaining data pipelines and integrations. - Support data analysis reporting dashboard development and visualization. - Help improve data quality through profiling validation cleansing and issue resolution. - Contribute to data governance activities including metadata management data lineage business ...

... frameworks). - Advanced Analytics: Expertise in Microsoft Excel (Pivot Tables Power Query XLOOKUP SUMPRODUCT) MS access and data visualization tools like Power BI. - Data Lifecycle Knowledge: Proven experience in data profiling Master Data Management (MDM) data cleansing and complex data migrations. - Analytical Mindset: Strong ...

... visit us at . Lead Data Engineer Role Purpose Exp : 8yrs to 15 yrs Location : Chennai Np : Immediate to 30days Required Skills Databricks (Highest Priority) Databricks - PySpark - Spark SQL - Delta Lake - Unity Catalog - Databricks Workflows - Databricks Asset Bundles - Lakehouse Architecture Azure Platform Azure Data ...

Job Description As a Senior Data Engineer, you will design, develop, and operate data platform components and data-intensive products. You will own significant data engineering work from requirements and design through implementation and production support, partnering with Data Engineering, Data Science, Cloud, DevOps, ...

... projects, and communicating complex findings as a Data Scientist. 1. Analyze strategic business objectives and leverage advanced analytical research to drive data-driven decision-making. 2. Utilize statistical and mathematical programming techniques for machine learning, predictive analytics, and other advanced data modeling ...

... 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, ...

... 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.- ...

... for rules, validation logic and monitoring processes. Requirements: - Experience in data quality, data analytics or data management roles. - Strong SQL skills (joins, aggregations, query optimization); basic to intermediate Python. - Hands-on experience with ETL pipelines and a data warehouse, data lake or Databricks. []

... - Advanced Analytics: Expertise in Microsoft Excel (Pivot Tables, Power Query, XLOOKUP, SUMPRODUCT), MS access and data visualization tools like Power BI. - Data Lifecycle Knowledge: Proven experience in data profiling, Master Data Management (MDM), data cleansing, and complex data migrations. - Analytical Mindset: Strong ...

... decision-making. Requirements What We’re Looking For Key Responsibilities - AWS Data Infrastructure: Design, deploy, and maintain highly available and scalable data platforms utilizing AWS-native services. - Data Security & DevSecOps: Embed security guardrails directly into the data lifecycle. Manage encryption, data masking, ...

... Data Engineering, SQL Unix + Big Data (Hadoop + Hive), Airflow, Datawarehousing, Data modelling and data processing frameworks.- Strong knowledge of SQL and database concepts.- Experience working with large-scale datasets in distributed environments.- Understanding of Data Warehousing concepts and dimensional data modeling.- ...

... office environment. - Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required. Typical Experience - Minimum 3+ years ...

... reconciliation and data-quality analysis. Analyse upstream and downstream impacts when data sources, attributes or mappings change. Technical understanding & data flows: Develop and maintain a good understanding of databases, data structures and data models. Understand data sourcing and end-to-end data flows across applications. ...

... projects, and communicating complex findings as a Data Scientist. 1. Analyze strategic business objectives and leverage advanced analytical research to drive data-driven decision-making. 2. Utilize statistical and mathematical programming techniques for machine learning, predictive analytics, and other advanced data modeling ...