via Dice
$120K - 150K a year
Develop ETL solutions, analyze source systems, create data pipelines, monitor and troubleshoot data architecture, and collaborate with stakeholders.
Requires 10+ years of experience, proficiency in Python, SQL, data integration, data modeling, ETL pipelines, Power BI, and cloud platforms like Azure and AWS.
Greetings! We are looking for Senior Data Engineer position. Please find the Job description as below: Workstyle: Remote NOTE: Candidate must be on Teknosys W2 only. Experience: 10 + (Candidate must have at least 10+ years of relevant experience) Key Responsibilities: • * Develop ETL solutions and dedicated SQL pools for extraction, transformation and aggregation. • Analyze the source system and design the ETL data load. • Create pipelines using Linked Services/Datasets/Pipeline to Extract, Transform and Load data from different sources like Salesforce. • Must have experience with Python, Data modeling aND SQL • Perform needed monitoring, troubleshooting, and maintenance of the data architecture and pipelines. • Collaborate with data engineers, analysts, and stakeholders to gather requirements, design visualizations, and provide training to use self-service BI Tools. Key Skills: Python, SQL, Data integration and implementation, Data modelling ,ETL Pipelines, Power BI, and cloud platforms like Azure and AWS. Kindly share updated resume in word format and LinkedIn profile link if interested. Regards Shruti K IT Recruiter / HR - Teknosys, Inc
This job posting was last updated on 2/16/2026