Keyskills :
SQL , Shell Scripting , Python , AWS , Azure , Cloud computing , Data Analysis , Data Engineering , Data Governance , Data Lake , MongoDB , Cloud Computing , Data Security , Analysis , Analytics , Azure Data Factory , Big Data , Cleaning , Collaboration , Communication , Compliance , Computing , Data Availability , Data Pipelines , Data Quality , Data requirements , Data Storage , Data Storage Solutions , Data Transformation , Design , Development , Governance , Kubernetes , Learning , Linux , Machine Learning , Management , NoSQL , Pipeline , Power BI , Production Environment , Security , Sensitive , SPARK , Stream Processing , Visualization
Designation:
N/A
Job Description:
Senior Data Engineer A Senior Data Engineer is responsible for building and maintaining data pipelines, ensuring data quality and accessibility, and driving data-driven insights for various teams and projects. This involves collecting, cleaning, transformi…