Data EngineerJob OverviewWe are seeking a skilledData Engineerto design, build, and maintain scalable data pipelines and infrastructure. The role involves working closely with Data Analysts, Data Scientists, and Engineering teams to ensure reliable, high-quality data for analytics, reporting, and product insights.Key ResponsibilitiesDesign, build, and maintain ETL/ELT pipelines for structured and unstructured dataDevelop and optimize data models, databases, and storage solutionsEnsure data quality, consistency, and reliability across systemsCollaborate with Data Scientists and Analysts to support analytics and reporting needsMonitor and troubleshoot data systems, workflows, and performance issuesImplement best practices for data security, governance, and complianceAutomate repetitive data processes and tasksRequirementsExperience as a Data Engineer or similar roleProficiency in SQL and database management (PostgreSQL, MySQL, etc.)Strong programming skills in Python, Java, or ScalaExperience with ETL tools and data pipeline frameworksFamiliarity with cloud platforms (AWS, GCP, Azure) and data warehouses (Redshift, BigQuery, Snowflake)Strong analytical, problem-solving, and debugging skillsGood written and verbal English communication skillsNice to Have (Optional)Experience with big data frameworks (Spark, Hadoop, Kafka)Knowledge of data modeling and BI tools (Looker, Tableau, Power BI)Familiarity with DevOps or CI/CD pipelines for dataExperience working in Agile teamsWhat We OfferHigh-impact role working with large-scale data systemsCollaboration with cross-functional teams including analytics and engineeringOpportunities for learning, growth, and career progressionSupportive, data-driven work environment