Data Engineer

Role & ResponsibilitiesDesign, develop, and maintain scalable data pipelines and architectures to support analytical and operational processes.Collaborate with data analysts and scientists to implement data solutions that enable advanced analytics and reporting.Optimize data flows and queries for high performance and efficiency across cloud and on-premise environments.Build and manage data models, data sets, and repositories ensuring data integrity and security.Implement ETL processes using modern tools and frameworks to automate data ingestion and transformation.Monitor system performance, troubleshoot issues, and implement improvements to enhance reliability.Skills & QualificationsMust-HaveProficiency in Python and SQLExperience with Spark, Kafka, and other big data technologiesHands-on experience with cloud platforms, preferably AWSStrong understanding of ETL pipeline development and data warehousing conceptsExcellent problem-solving and communication skillsPreferredKnowledge of data governance and security practicesExperience with containerization tools like Docker or KubernetesFamiliarity with machine learning data workflowsBenefits & Culture HighlightsOpportunity to work with cutting-edge data technologies in a collaborative environmentSupportive culture fostering innovation and continuous learningCompetitive compensation and benefits packageSkills: spark,sql,kafka,python,aws