155 numerical data entry jobs in Pune, India.

... background in Python, PySpark, and SQL, to join our growing data engineering team. The ideal candidate will have hands-on experience with cloud data platforms, data modelling, and a proven track record of building and optimising large-scale data pipelines in agile environments. Design, develop, and maintain robust data pipelines ...

... and build scalable data processing systems. The ideal candidate should have hands-on experience working with large datasets, distributed computing, and modern data architectures. Key Responsibilities Design, develop, and maintain big data pipelines using Hadoop and Spark Build scalable data processing frameworks using Scala ...

... the management of end-to-end data infrastructure—from design and construction to installation and ongoing maintenance of large-scale processing systems. Drive data quality initiatives, ensure seamless data accessibility for analysts and data scientists, and maintain strict compliance with data governance and regulatory requirements. ...

Key Responsibilities: Design and implement ELT processes for diverse data sources, including RDBMS, NoSQL databases, and data warehouses Develop and maintain scalable data pipelines for batch and stream processing using JVM-based languages and frameworks Collaborate with cross-functional teams to integrate diverse data ...

... to connect various data sources.- Schedule and monitor workflows using Apache Airflow to ensure timely data processing and delivery.- Troubleshoot and resolve data issues as they arise, ensuring data quality and integrity throughout the pipeline.- Document ETL processes, data models, and architecture to maintain clear and ...

... Generative AI to design, build, and deploy scalable data-driven solutions. The ideal candidate will work closely with business and engineering teams to transform data into actionable insights and production-grade AI systems. Key Responsibilities Data Science & Analytics Analyze large, complex datasets to identify trends, patterns, ...

... daysMandatory Skills : - Python- PySpark- SQL- Oracle EBS- Databricks / Azure Data Factory (ADF)Key Responsibilities : - Design and develop scalable data pipelines using Databricks and PySpark.- Develop and optimize complex SQL queries and data processing workflows.- Work with Oracle EBS data structures and support data integration ...

... EMR, and other AWS services.- Develop PySpark-based data processing applications for large-scale distributed data workloads.- Write optimized SQL queries for data transformation, analysis, and reporting requirements.- Implement data ingestion frameworks to process data from databases, APIs, files, applications, and other ...

... in Data Science, Computer Science, Statistics, Business Analytics, or related field, or equivalent experience Business Acumen, Collaboration, Communication, Data Analysis, Data-Driven Business Intelligence, Data Visualization, Market/Industry Dynamics, Relationship Management, Statistics, Story Telling _____________________________________________________________________________________________________ ...

... deploying complex data architectures within Microsoft Fabric and the broader Azure ecosystem.- Advanced proficiency in Python and SQL for building sophisticated data processing pipelines and complex analytical models.- Strong background in data engineering principles, including ETL/ELT design, data modeling, and performance ...

... ETL Tool ONLY amongst Talend Datastage Informatica ISS Cloud version Data Fusion Data Flow Data Proc Mandatory SQL PLSQL Scripting Experience Expert in Python Data Flow Pubsub Big Query CICD Must have good Experienceknowledge on GCP components like GCS BigQuery AirFlow Cloud SQL PubSubKafka DataFlow and Google Cloud SDK ...

... in regulated industries (Pharma, Life Sciences, Banking). Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s) Enable high-quality, compliant data for analytics, ML, and GenAI workloads ...

... complex and large-scale datasets. Strong experience in data analysis, data profiling, reconciliation, and Data Quality (DQ) validation. Ability to explore large datasets and translate analysis into clear findings, recommendations, and actionable insights. Experience working with large volumes of data and understanding of performance ...

... Glue, Lambda, Step Functions, and Apache Spark . Develop and optimize data lake and data warehouse architectures using AWS S3, Redshift, and Athena . Implement data ingestion, transformation, and storage solutions using AWS Glue, Kinesis, and Kafka . Work with structured and unstructured data to develop efficient data pipelines ...

... Work as an Individual Contributor on new and existing projects with a positive, problem-solving https://jobeax.com/link/rCyzW0NBvdP0uFXm Candidate :- Strong Data Scientist / AI Engineer / Generative AI Engineer profile.- 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, ...

... experience with modern data stack tools (dbt, Looker, etc.) • Machine learning infrastructure and MLOps architecture expertise • Contributions to open-source data infrastructure projects • Published technical articles, conference talks, or thought leadership in data platforms • Expert knowledge of data privacy frameworks ...

... large-scale data processing and integration.- Develop automation and data processing scripts using Python or Scala.- Work with structured and semi-structured data from multiple data sources.- Implement and support data orchestration, data quality, and data governance processes.- Integrate streaming data sources and technologies ...

... usage onsite or in the cloud. Contributes to the setting of standards for data and BI platforms and ensures conformance to these standards Job title: Senior Data Engineer Job Description: We are looking for a motivated Databricks Senior Data Engineer to support the delivery of data engineering solutions across Databricks ...

... transformation, and loading (ETL) of data. Your responsibilities will include: - Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. - Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. ...

... Skills, Education, or Experience - Experience developing and supporting data integration, ETL/ELT processes, data pipelines, and data transformations using modern data platforms and cloud-based technologies. - Working knowledge of data modeling, SQL, data quality practices, metadata management, and data governance principles ...