Python Data Engineer
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Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines using PythonWork hands-on with data ingestion, transformation, and loading processes (ETL/ELT)Collaborate with data architects and business teams to define data solutionsDevelop reusable frameworks for data processing and data qualityOptimize data workflows for performance and scalabilityWork with cloud platforms such as GCP, AWS, or AzureEnsure data quality, consistency, and governance across systemsSupport production systems and troubleshoot data issuesWrite complex SQL queries for data extraction and analysisParticipate in code reviews and enforce engineering best practices Mandatory SkillsStrong expertise in Python programming (hands-on coding required)Experience in building data pipelines and ETL processesProficiency in SQL and relational databasesExperience with cloud platforms (GCP/AWS/Azure)Knowledge of BigQueryHands-on experience with Big Data technologies (e.g., Spark, Hadoop)Experience with data integration tools and frameworksStrong understanding of data modeling and data warehousing conceptsExperience with version control systems like Git