... principles applied to data and AI systems Ability to operate across the full stack — from raw data through model serving infrastructure 7+ years of progressive data engineering experience, with demonstrated growth in scope and technical ownership. Track record of leading technical projects or workstreams, not just executing ...
... time-sensitive data https://jobeax.com/link/q6mT8MCfo9RISiNs Responsibilities:- Design, develop, test, and maintain integrations that extract financial and operational data from enterprise source systems.- Analyze source structures and collaborate with Business Analysts to define mappings, transformations, validations, and business ...
... reconciliation. - Ensure tasks reflect the complexity and precision expected in professional data environments. Dataset Creation & Curation - Construct and curate complex datasets across multiple file formats. - Work with CSVs, PDFs, spreadsheets, and technical documents . - Introduce realistic data-quality challenges, including malformed ...
... techniques to NLP, time-series forecasting, classification, regression, clustering, recommendation, or optimization problems. Proven ability to mentor junior data scientists or analysts, provide technical guidance, and establish best practices for machine learning development. Strong cross-functional collaboration skills ...
... 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 ...
... large-scale data processing, Python development, distributed systems, databases, data quality, and governance. What You’ll Do - Design, build, and maintain scalable data pipelines and architectures for large-scale data environments. - Translate business and technical requirements into reliable data engineering solutions. - Develop ...
... large-scale data processing, Python development, distributed systems, databases, data quality, and governance. What You’ll Do - Design, build, and maintain scalable data pipelines and architectures for large-scale data environments. - Translate business and technical requirements into reliable data engineering solutions. - Develop ...
... 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 ...
... https://jobeax.com/link/n702ZGttRFQk9ztb Requirements : - 10+ years overall, with 8+ years in Azure Data/AI architecture, and proven experience architecting and delivering large-scale data platforms on Microsoft Azure.- Pre-sales experience : customer discovery, technical solutioning for RFPs/RFIs, architecture proposals, effort/cost estimation, ...
... 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, ...
... 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 as churn rates or claims ratios—into technical specifications. Code Quality: Participate ...
... 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 ...
... business-facing data stewardship workflows, exception queues, and human-in-the-loop review processes. The assigned offshore team shall consist of two (2) MDM Data Engineers with complementary technical expertise, working under the direction of the onshore data architecture lead. Both engineers shall possess strong Snowflake ...
... DuckDB as an embedded engine for internal tools or 'edge' processing within the BPO's local site offices where bandwidth to the cloud might be a constraint. Technical Skills & Experience - 5+ Years in Data Engineering: You've lived through the 'on-call' life and know how to build systems that don't break at 3 AM. - The Power ...
... 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 ...