... provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives. Develop and optimize Python-based data science solutions using public datasets. Create well-documented Python code using Jupyter notebooks. Bachelor's/Master's degree in Engineering, Computer Science, ...
... lead scalable data architectures to support structured, semi-structured, time-series, and unstructured data across Linde's global operations Develop unified data platforms ensuring secure, governed, and efficient access to enterprise-wide data Build and manage robust data pipelines integrating sources like ERP systems, ...
... Posted 2 weeks ago Job Be an early applicant About the job Job Purpose: Design and implement scalable data engineering and data warehouse solutions while managing data schemas, SQL query tuning, and code reviews. Who You Are: - 5+ years of experience in Data Engineering, with strong knowledge of Data Platforms and Data Warehousing ...
... data annotation tools and ML pipelines to provide visibility, insights, and automation across large-scale data operations. You will design and optimize robust data pipelines, build integrations with internal platforms (e.g., Design and build scalable batch and real-time data pipelines across structured and unstructured sources. ...
... building data pipelines, and writing efficient, scalable Python code. Key Responsibilities Develop, test, and maintain scalable Python applications. Work with large datasets to extract, transform, and analyze data. Build and optimize data pipelines and workflows. Perform data cleaning, validation, and preprocessing. Collaborate ...
... validate data from multiple sources Perform exploratory data analysis (EDA) Develop dashboards and reports using BI tools Interpret trends and patterns in complex datasets Present insights to stakeholders in a clear and actionable manner Write SQL queries to extract and manipulate data Automate data processes where possible ...
... contribution, technical team management, and client interaction. - Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights - Drive excellent project management required to deliver complex projects, including effort/time estimation. - Be proactive, with full ownership ...
... platforms Design & deliver data warehousing solutions and key data engineering workstreams for any required solution. Support cross-functional teams across the data space. 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models - 3+ years of experience in Python and SQL ...
' : - ( - ) Experience: 2+ yrs Location: Bengaluru, Karnataka, India Job Type: Full-time We are looking for a skilled and analytical Data Analyst – BI with strong hands-on expertise in Tableau and SQL to transform complex financial and operational data into actionable business insights. The role will focus on developing ...
... orchestrate datasets. Perform routine data monitoring, quality checks, and troubleshooting to maintain data integrity and workflow performance. Collaborate with data analysts, data scientists, and senior engineers to deliver data solutions. Document workflows, dataset schemas, and data engineering best practices. Required ...
... Maintaining data center documentation. Core business hours for planning and monitoring Weekends and out-of-hours work for physical infrastructure changes (with time off provided during the week) As our next Data Centre Engineer, you'll need to have: Attention to detail within a data center. Ability to identify basic parts ...
... Ensure the reliability, scalability, and efficiency of data pipelines for ingestion, transformation, and storage. Work with cross-functional teams to understand data needs and deliver high-quality solutions. Troubleshoot and resolve data pipeline issues in production environments. Apply data quality and governance best practices, ...
... Own end-to-end delivery of data products—from raw source data ingestion through transformation to governed, consumption-ready datasets. Collaborate with the Data Platform team on pipeline integration, CI/CD workflows, and adherence to shared coding and deployment standards. - Data Quality & Analysis: Implement data quality ...
... of our transformation, we know that data is at the center of everything that we do. We seek a dedicated professional to help take us to the next level of our Data & Analytics journey. We depend on our Data Analysts to investigate data seeking opportunities to reduce duplicates, improve the quality and discover anomalies ...
... MAKE AN IMPACT Job Title: Data Engineer _DEPS Experience: 3–5 Years Location: Bangalore and Pune (Hybrid – Client Office) Job Summary: Seeking a skilled Senior Data DevOps Engineer having experience in Cloudera platforms, data engineering, and DevOps automation. The ideal candidate will manage and optimize Cloudera environments, ...
... efficient code using Scala and Spark - Work with Azure or on-premises Hadoop ecosystem for data processing - Solve real-world engineering problems related to data infrastructure - Collaborate with cross-functional teams to deliver data-driven solutions - Ensure data quality, reliability, and performance across data systems ...
... Python. Develop and optimize large-scale data transformations using PySpark. Ensure data quality, reliability, and performance of data pipelines. GCP BigQuery Data Ingestion & ETL/ELT Data Pipeline Orchestration Python PySpark Strong SQL and data engineering fundamentals hands-on experience in GCP-based data platforms.
... equivalent) and a cloud platform (AWS/Azure) - Data-quality mindset : you build validation and monitoring into pipelines, not after something breaks Nice-to-Have Time-series or high-frequency sensor data at scale TimescaleDB or another time-series database (hypertables, continuous aggregates, compression, retention policies) ...