InfoCentric
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The Senior Data Engineer/Analyst is responsible for designing and implementing data solutions that enhance business insights and improve operational efficiency. This role involves leading cross-functional teams, developing and maintaining data pipelines and analytics platforms, delivering scalable data solutions, and engaging in problem-solving and continuous learning.
The Senior Azure Data Engineer role focuses on enhancing data infrastructure and analytics. Responsibilities include utilizing Azure Data Services for data engineering, managing data warehousing and ETL processes, and collaborating with teams to deliver impactful projects.
As a Data Engineer at InfoCentric, you'll support and enhance the reporting pipeline using Python. Your responsibilities include maintaining existing data processes, improving stability, and ensuring SLAs are consistently met while working independently within a complex environment.
The AWS Data Engineer will design, implement, and maintain data pipelines on AWS and Snowflake. Responsibilities include developing ETL processes, collaborating with stakeholders for data solutions, managing data warehouses, and ensuring data governance and performance optimization.
As a Data Architect, you will design and implement scalable data architectures on AWS, develop ETL pipelines, ensure data governance and security, manage databases, optimize data performance, and collaborate with cross-functional teams to deliver technical solutions that meet business needs.
As an AWS Data Engineer at InfoCentric, you will work on data solutions utilizing your skills in Python, SQL, Apache Spark, and various AWS technologies. Your role involves collaborating with stakeholders to deliver quality data solutions that enhance decision-making and impact business success.
The Data Engineer will develop, test, and maintain data architectures, focusing on databases and large-scale processing systems, and collaborate with stakeholders to deliver effective technical solutions.
As an Azure Cloud Engineer, you will design and implement cloud platforms for clients, working on data architecture and data modeling, ultimately assisting in modernizing their data ecosystems for better business outcomes.