... 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 ...
We are seeking an experienced Lead Data Analyst to work on large-scale Energy & Utilities datasets. The ideal candidate will be responsible for analyzing tariff and pricing data, building data models, automating workflows, and delivering actionable insights to support business decisions.Role: Lead Data AnalystExperience: ...
... 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. ...
... working with large datasets. Experience building dashboards and reporting using tools such as Hex, Looker, Tableau, Power BI, or similar. Familiarity with modern data warehouses and transformation tools such as Snowflake, BigQuery, Databricks, or similar. Strong understanding of data modeling, data quality, reconciliation, ...
... you will do :- Translate business questions into clear metrics and an analysis plan.- Prepare and analyse large datasets using SAS, SQL and Python.- Reconcile data sources, validate calculations and investigate discrepancies.- Identify what is driving performance and recommend actions supported by the data.- Deliver findings ...
... 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 ...
Company : Very big MNCRole : GCP Data EngineerExperience : 8 - 15 yrsNotice Period : 30 daysLocation : PAN INDIATech Stack :- GCP data engineer- Pyspark- Dataflow- Dataproc- BigQuery- AirflowKey Responsibilities :- Design, develop, and optimize endtoend data pipelines using PySpark, Dataflow, and Dataproc- Implement data ingestion, ...
... companies. Job Title: Data Warehouse Engineer Workplace Type: Remote The future is bright for the Porch Group, and we'd love for you to be a part of it as our Data Warehouse Engineer with the Data team . We are seeking a Data Warehouse Engineer to join our data team as a strong individual contributor. In this role, you will ...
Exp: 6+ years Work Mode: Hybrid (3 days work from office) or Remote can also be provided. Key Responsibilities Design, develop, and maintain robust data pipelines in Hadoop and related ecosystems, ensuring data reliability, scalability, and performance. Implement data ETL processes for batch and streaming analytics requirements. ...
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 ...
MDM Data Engineer Location: Remote (Offshore) Full time 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 ...
... 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 ...