Research new technologies and design complex, secure, scalable, and reliable solutions, focusing on ETL process enhancementWork with the modern data stack to deliver well-designed technical solutionsImplement data governance practicesCollaborate effectively with customer teamsTake ownership of major solution components and their deliveryParticipate in

requirements

gathering and propose architecture approachesLead data architecture implementationDevelop core modules and scalable systemsConduct code reviews and write unit/integration testsScale distributed systems and infrastructureBuild/enhance data platforms leveraging AWS or Azure5+ years of experience with Python and SQLHands-on experience with AWS services (API Gateway, Kinesis, Athena, RDS, Aurora)Proven experience building ETL pipelines for analytics/internal operationsExperience developing and integrating APIsSolid understanding of Linux OSFamiliarity with distributed applications and DevOps toolsStrong troubleshooting/debugging skillsEnglish level: Upper-IntermediateWILL BE A PLUS2+ years with Hadoop, Spark, or AirflowExperience with DAGs/orchestration toolsExperience with Snowflake-based data warehousesExperience developing event-driven data pipelinesPERSONAL PROFILEStrong communication skillsInterest in dynamic, research-focused environmentsPassion for innovation and continuous improvementAre you a Senior Data Engineer passionate about building scalable, secure, and high-performance data solutions. Join our Data Engineering Center of Excellence at Sigma Software and work on diverse projects that challenge your skills and inspire innovation. At Sigma Software, we value expertise, continuous learning, and a supportive environment where your career path is shaped around your strengths.

You’ll be part of a collaborative team, gain exposure to cutting-edge technologies, and work in an inclusive culture that fosters growth and innovation. PROJECTOur Data Engineering Center of Excellence (CoE) is a specialized unit focused on designing, building, and optimizing data platforms, pipelines, and architectures.

We work across diverse industries, leveraging modern data stacks to deliver scalable, secure, and cost-efficient solutions.