Data EngineerWe are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will work closely with data analysts, data scientists, and software engineers to ensure reliable data flow, storage, and accessibility for business insights and analytics.Key ResponsibilitiesDevelop, maintain, and optimize ETL/ELT pipelinesBuild scalable data architectures and data warehousesIntegrate data from multiple sources (APIs, databases, cloud platforms)Ensure data quality, integrity, and securityMonitor and troubleshoot data pipeline performanceCollaborate with analytics and business teams for reporting needsImplement data governance and best practicesAutomate workflows and improve data processing efficiencySupport real-time and batch data processing systemsRequired Skills & QualificationsTechnical SkillsStrong knowledge of SQL and database systemsExperience with Python, Scala, or JavaHands-on experience with ETL tools and frameworksKnowledge of cloud platforms such as: Amazon Web ServicesGoogle CloudMicrosoftExperience with big data technologies: Apache SparkHadoopKafkaFamiliarity with data warehousing conceptsUnderstanding of CI/CD and DevOps practicesSoft SkillsProblem-solving mindsetStrong communication skillsTeam collaborationAnalytical thinkingAttention to detailEducational RequirementsBachelor's degree in Computer Science, Information Technology, Data Science, or related fieldRelevant certifications are a plusPreferred Experience2+ years of experience in data engineering or related rolesExperience with modern data stack tools like Airflow, Snowflake, Databricks, or dbtExposure to machine learning pipelines is an advantageExample Tools & TechnologiesProgramming: Python, SQL, JavaDatabases: PostgreSQL, MySQL, MongoDBCloud: AWS, Azure, GCPOrchestration: AirflowWarehousing: Snowflake, Redshift, BigQueryVersion Control: Git