... Responsibilities Lead end-to-end data migration activities within Guidewire PolicyCenter implementations, from requirement gathering to post-migration validation. Execute data extraction, transformation, and loading (ETL) processes leveraging Guidewire Data Migration Suite, Mammoth tools, and relevant migration utilities. Collaborate ...
... BigQuery, Cloud Functions, Composer, GCS Proficient hands-on programming experience in Spark/Scala (python/java) Proficient in building production level ETL/ELT data pipelines from data ingestion to consumption Data Engineering knowledge (such as Data Lake, Data warehouse - Redshift/Hive/Snowflake, Integration, Migration) ...
... https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS is a plus.- Strong experience on Spark with Scala/Python/Java.- Proficiency in building, training, and evaluating state-of-the-art machine ...
We are seeking a Data Engineer to join our team. The role will involve building and maintaining data pipelines and collaborating closely with stakeholders. Key responsibilities Design and develop scalable data pipelines using AWS services. Implement ETL processes with AWS Glue, Lambda, and DBT. Work with PySpark and SQL ...
... inquiries related to Addepar's portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage ...
... support to users on data analysis tools and techniques. 6. Communicate findings and insights through compelling data visualizations and narratives. 7. Support data-related projects by providing analytical expertise and insights. 8. Ensure data accuracy, completeness, and integrity through quality assurance processes. We ...
... 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, ...
... enterprise-wide data Build and manage robust data pipelines integrating sources like ERP systems, IoT devices, iHistorian, web services, and external APIs Leverage modern data engineering stacks (Python, SQL, Spark, Delta Lake, Databricks, Azure) to enable large-scale, high-performance processing Collaborate with stakeholders and IT ...
... Excite Us: Strong experience in SQL query tuning, data modeling, and DWH design Hands-on experience with Kafka, Snowflake, Python, DBT, and Azure Experience with Data Lake and large-scale analytics platforms Ability to independently troubleshoot issues and drive end-to-end solutions Experience with automation and process optimization ...
... environments (preferably AWS). Document architecture, data flow, and support runbooks; continuously improve platform performance and resilience. Integrate with customer data platforms and pipelines, including bespoke data frameworks. 4–8 years of experience in data engineering or backend development in data-intensive environments. ...
... 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 ...
... Experience designing data science solutions to business problems - Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems. - Comfortable with large scale data processing and distributed computing - Allocates workload among team members and by taking into consideration ...
... Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects. Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, ...
... communication and stakeholder-management skills with the ability to explain complex data insights clearly. - Tableau certification such as Tableau Certified Data Analyst or Tableau Desktop Specialist will be an advantage. - Experience with Python or R for statistical analysis, data processing, or integrating analytical ...
... https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS is a plus.- Strong experience on Spark with Scala/Python/Java.- Proficiency in building, training, and evaluating state-of-the-art machine ...
... services (e.g., S3, Glue, Lambda, Redshift) to process and 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 ...
... drives / memory / transceivers and other hardware related tasks, as required by our server and network teams. Assisting with planning equipment moves or new data center build-outs. Coordinating the packing, shipping, and logistics of equipment to and from remote colocation sites. Maintaining data center documentation. ...
... Description: Key Responsibilities: Design, implement, and optimize ETL/ELT pipelines using DBT for data modeling and transformation. Develop backend components and data processing logic using Java. Build and maintain DAGs in Apache Airflow for orchestration and automation of data workflows. Ensure the reliability, scalability, ...