Data Engineer (Big Data)

Job Purpose We are seeking a highly skilled Senior Data Engineer (Contractor) to design, build, and optimize scalable data platforms and pipelines. This role will play a critical part in developing modern data lakehouse architectures on AWS, enabling advanced analytics and data-driven decision-making across the organization Design, develop, and maintain analytical data models and metrics using modern, scalable data platform technologies. Architect and implement data lakehouse solutions leveraging AWS services.Build, optimize, and maintain robust data pipelines using PySpark, Python, and AWS Glue.Ensure high performance, reliability, and scalability of data systems.Collaborate closely with business stakeholders to translate requirements into data solutions.Partner with architecture and operations teams to enforce best practices, standards, and governance.Monitor and troubleshoot data workflows, ensuring data quality and system efficiency.To adhere to the Information Security Management policies and procedures. 5+ years of professional experience in software development, with a focus on analytical platform development. 3+ years of hands-on experience with data platforms and big data ecosystems.Strong expertise in big data technologies, including: o AWS EMR o PostgreSQL Proficiency in Python and Spark programming. Experience building highly scalable, low-latency data systems (e.g., DynamoDB, Aurora, PostgreSQL, Redshift).Proven experience designing and implementing data lakehouse architectures on AWS.Hands-on experience with AWS services such as Step Functions, Lambda, and EventBridge.Experience working in Agile development environments. Strong knowledge of additional AWS services such as: Experience with real-time data streaming and event-driven architectures. Familiarity with machine learning data pipelines is a plus. Job Purpose We are seeking a highly skilled Senior Data Engineer (Contractor) to design, build, and optimize scalable data platforms and pipelines. This role will play a critical part in developing modern data lakehouse architectures on AWS, enabling advanced analytics and data-driven decision-making across the organization Design, develop, and maintain analytical data models and metrics using modern, scalable data platform technologies. Architect and implement data lakehouse solutions leveraging AWS services.Build, optimize, and maintain robust data pipelines using PySpark, Python, and AWS Glue.Ensure high performance, reliability, and scalability of data systems.Collaborate closely with business stakeholders to translate requirements into data solutions.Partner with architecture and operations teams to enforce best practices, standards, and governance.Monitor and troubleshoot data workflows, ensuring data quality and system efficiency.To adhere to the Information Security Management policies and procedures. 5+ years of professional experience in software development, with a focus on analytical platform development. 3+ years of hands-on experience with data platforms and big data ecosystems.Strong expertise in big data technologies, including: o AWS EMR o PostgreSQL Proficiency in Python and Spark programming. Experience building highly scalable, low-latency data systems (e.g., DynamoDB, Aurora, PostgreSQL, Redshift).Proven experience designing and implementing data lakehouse architectures on AWS.Hands-on experience with AWS services such as Step Functions, Lambda, and EventBridge.Experience working in Agile development environments. Strong knowledge of additional AWS services such as: Experience with real-time data streaming and event-driven architectures. Familiarity with machine learning data pipelines is a plus.