Job
Description
The Role: We are seeking a highly skilled Senior Data Engineer with over 8 years of experience to join our growing data team. The ideal candidate will have a strong background in building, optimizing, and maintaining scalable, cloud-based data pipelines using AWS services. You will play a critical role in integrating enterprise systems like Microsoft Dynamics 365, Salesforce, and Oracle Fusion, enabling seamless data flow across platforms and driving data-driven decision-making across the organization. Key Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines using AWS services such as S3, Glue, Redshift, and Lambda Integrate and synchronize data from ERP and CRM systems including Microsoft Dynamics 365, Salesforce, and Oracle Fusion Write efficient, reusable, and scalable code using Python, PySpark, and SQL Automate data ingestion, transformation, and validation processes to support analytics and reporting Optimize pipeline performance, troubleshoot bottlenecks, and ensure high data quality and reliability Collaborate with data scientists, analysts, and business stakeholders to understand requirements and translate them into technical solutions Monitor and enhance data infrastructure to meet growing business needs and ensure data governance and compliance. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 8+ years of hands-on experience in data engineering, with a strong focus on cloud-based environments (AWS preferred) Proven expertise in AWS services: S3, Glue, Redshift, Lambda Experience integrating complex enterprise systems such as Salesforce, Oracle Fusion, and Microsoft Dynamics 365 Strong proficiency in Python, PySpark, and SQL for large-scale data processing and transformation Deep understanding of data modeling, data warehousing, and performance tuning techniques Familiarity with CI/CD pipelines, version control, and DevOps practices is a plus Excellent problem-solving, communication, and team collaboration skills AWS Certification (e.g., AWS Certified Data Analytics, Solutions Architect) Experience with modern data lakehouse architectures and tools like Apache Hudi, Delta Lake, or Iceberg Knowledge of BI tools such as Tableau, Power BI, or QuickSight Show more Show less
