... transaction-level data modeling, data quality, auditability, data lineage, and production pipeline ownership, preferably within finance, risk, or compliance data https://jobeax.com/link/cZ8zpMXwj45ivho4 Responsibilities : - Own data architecture and system design decisions for data pipelines and data models.- Design and ...
... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...
... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...
... We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Work with data scientists, data analysts, computational engineers, machine learning engineers, software developers, or business representatives across our global organization ...
... organization, with direct involvement in achieving/maintaining the Data & AI (Azure) Solutions Partner designation, and hands-on contribution to passing the Microsoft Data & AI specialization audit.- Strong expertise in Azure Data Lake Storage, Azure Synapse Analytics, Microsoft Fabric, and/or Azure Databricks.- Experience with ...
... Dataflow- Dataproc- BigQuery- AirflowKey Responsibilities :- Design, develop, and optimize endtoend data pipelines using PySpark, Dataflow, and Dataproc- Implement data ingestion, transformation, and loading processes into BigQuery- Orchestrate workflows and schedule jobs with Apache Airflow- Collaborate with data analysts, scientists, ...
... (Star/Snowflake) to support evolving business requirements in the insurance and SaaS space. Performance Tuning: Proactively identify and resolve bottlenecks in data pipelines, optimizing for both query speed and cloud cost-efficiency. Partner with Data Analysts, Data Scientists, and Actuaries to translate business logic—such ...
... processes for batch and streaming analytics requirements. Optimize and troubleshoot distributed systems for ingestion, storage, and processing. Collaborate with data engineers, analysts, and platform engineers to align solutions with business needs. Ensure data security, integrity, and compliance throughout the infrastructure. ...
Data Engineer III/ IV - IN (Operation/ Supports) Work Location - Remote Work From Home Shift: Rotation Shifts (24/7) Experience: 7-12 years The Data engineer is responsible for managing and operating upon Databricks, Dbt, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI/Tableau. The engineer will work closely with the customer ...
... data models in Snowflake for analytics and visualization. Ensure data accuracy, performance optimization, and visualization best practices. Work closely with data engineering to ensure smooth data integration and pipeline readiness. Troubleshoot issues related to data, performance, or visualization logic. Overall 5+ years ...
... manage databases and data warehouses and optimise database performance and storage across multipul platforms, e.g. Snowflake, PostgreSQL RDS & Aurora. Ensure data quality, integrity, and reliability, whilst adhering to data security best practices. Work closely with data analysts, and other stakeholders to understand data ...
... modelers and analysts to deliver analytics-ready datasets Support downstream reporting and dashboarding use cases What we’re looking for Strong experience as a Data Engineer in Azure environments Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar Solid SQL and data transformation experience ...
... Snowflake- 5 Years Master Data Management- 5 Years Scripting – Python- 5 Years SAP/Salesforce/Engage to Graph DB- 5 Years Minimum IT Experience: 8+ Years The MDM Data Engineer will build and operate the data pipelines, models, and profiling capabilities that power enterprise Master Data Management program. The engineer will ...
... Implement 'Data SLAs.' You will build the monitoring and alerting systems that notify the team of data drift or pipeline failures before the business notices. Data Productization: Work closely with the BI team and Data Scientists to prepare 'feature-ready' datasets. Performance Tuning: Deep-dive into SQL and Spark query ...
... members. We are seeking experienced Data Engineering professionals with 4–6 years of hands-on expertise in Big Data technologies, with a focus on building scalable data solutions using Google Cloud Platform (GCP). Key Skills & Experience: Strong programming skills in Python and Bash Solid understanding of SQL and data warehousing ...
... what matters is your ability to leverage whichever tools the problem calls for.- Data Foundations : Strong understanding of modern data architecture: relational databases, data lakes, and cloud warehouses (e.g., Snowflake), including data modeling, pipelines, and SQL. Comfortable working with APIs and whatever data tools the ...
... parallelization, monitor failures, and maintain stability against minor site structure changes. Educational qualifications - At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). - Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, ...
... parallelization, monitor failures, and maintain stability against minor site structure changes. Educational qualifications - At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). - Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, ...
... ability to articulate technical concepts to non-technical stakeholders and work effectively within a collaborative, fast-paced environment.- A Bachelors or Masters degree in Computer Science, Engineering, or a related quantitative field, reflecting a strong foundation in data structures and algorithms.- Ability to thrive ...