We are looking for a skilled Data Engineer to design, develop, and maintain scalable data pipelines and architectures that support analytics, reporting, and business intelligence. The ideal candidate should have strong experience in data integration, data warehousing, and big data technologies.ResponsibilitiesDesign, build, and maintain data pipelines and ETL/ELT processesDevelop and manage data warehouses and data lakesIntegrate data from multiple sources (APIs, databases, files, cloud platforms)Ensure data quality, accuracy, and consistencyOptimize data workflows for performance and scalabilityCollaborate with data analysts, data scientists, and business teamsImplement data security, governance, and compliance standardsMonitor and troubleshoot data pipeline issuesRequired SkillsStrong experience in SQL, Python, or ScalaHands-on experience with ETL tools (Airflow, Talend, Informatica, dbt, etc.)Experience with Big Data technologies (Spark, Hadoop, Kafka)Knowledge of data warehouses (Snowflake, Redshift, BigQuery, Azure Synapse)Experience with cloud platforms (AWS, Azure, GCP)Understanding of data modeling, data lakes, and data pipelinesFamiliarity with CI/CD and version control (Git)Preferred SkillsExperience with real-time data streamingKnowledge of DevOps and containerization (Docker, Kubernetes)Experience with BI tools (Power BI, Tableau, Looker)QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or related field2+ years of experience in Data Engineering or similar role