Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

AiWhiz Solutions Pvt Ltd

Big Data Engineers

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
86
out of 100
Average of individual scores

Were these scores useful?

Job Description

Big Data Engineers AiWhiz Solutions Pvt Ltd Carrollton, TX Job Details 1 hour ago Qualifications Cloud analytics services Data Architecture Design (Architecture design skills) Design (software development lifecycle) Full Job Description Please go through the current job opportunity with us and send us your profile to Hands-on experience modelling, design, configuration, installation, performance tuning, and setting up sandbox for POC Work with business/application/solution teams to implement data strategies, build data flows, & develop conceptual/logical/physical data models Develop, and maintain conceptual, logical, and physical data models, implement of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms in cloud Lead scoping sessions to generate estimates and approaches for execution Minimum 2+ years of experience in architecting large-scale data solutions, performing architectural assessments, crafting architectural options and analysis, finalizing preferred solution alternative working with IT and Business stakeholders 2+ years of data engineering developing, and deploying scalable enterprise data analytics solutions, design/development of Large Data Warehouse and/or Database Management Systems 2+ years of hands-on experience architecting and designing data lakes on cloud serving analytics and BI application integrations (Azure or GCP) 2+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols) Experience with tools like Azure Data Factory, Databricks, Integration Runtime Services Experience in Spark, Python or Scala, pySpark, Expert in T-SQL Big Data development experience using Kafka, Azure EventHub, IoT Hub