Lead Data Engineer

Lead Data EngineerWe are seeking a highly skilled Technical Lead – ETL & Python Development to lead the design, development, and delivery of enterprise data integration and data engineering solutions. The ideal candidate will possess strong expertise in Python, ETL development, data warehousing, cloud-based data platforms, and technical leadership. The role involves collaborating with business stakeholders, solution architects, data analysts, and engineering teams to build scalable, high-performance data pipelines and modern data solutions while mentoring development teams and driving engineering best practices.Key ResponsibilitiesTechnical LeadershipLead a team of ETL and Python developers across multiple projects.Drive technical design, code reviews, development standards, and best practices.Provide technical mentoring and guidance to team members.Conduct solution design workshops and architecture discussions.Collaborate with architects and project managers to ensure successful project delivery.ETL Development & Data IntegrationDesign, develop, and maintain enterprise-scale ETL/ELT solutions.Build scalable and reusable data ingestion frameworks.Design complex data transformation and enrichment pipelines.Integrate data from multiple sources including databases, APIs, cloud storage, SaaS applications, and external systems.Ensure data quality, consistency, validation, and reconciliation.Python DevelopmentDevelop robust and scalable Python applications for data processing and automation.Build reusable libraries, frameworks, and utilities.Develop APIs and microservices supporting data integration processes.Create automated data validation, monitoring, and alerting solutions.Optimize Python code for performance and scalability.Data Engineering & WarehousingDesign and implement data warehouse solutions.Develop data models supporting reporting and analytics needs.Build batch and near real-time data processing pipelines.Support data lake and lakehouse architectures.Implement metadata management and data governance processes.Cloud & Modern Data PlatformsDesign and deploy cloud-native data solutions.Work with cloud services for data ingestion, storage, processing, and analytics.Support migration from legacy ETL platforms to modern cloud-based architectures.Implement Infrastructure as Code (IaC) and automation where applicable.Quality & Performance OptimizationPerform performance tuning for ETL jobs and Python applications.Identify bottlenecks and recommend optimization strategies.Ensure adherence to security, compliance, and governance standards.Lead root cause analysis and production issue resolution.Required Technical SkillsPython DevelopmentStrong hands-on experience with:Python 3.xPandasNumPySQLAlchemyPySparkFastAPI / FlaskObject-Oriented Programming (OOP)Experience developing production-grade Python applications.Strong debugging and optimization skills.ETL & Data IntegrationHands-on experience with one or more ETL platforms:Informatica PowerCenterAzure Data Factory (ADF)SSISTalendDataStageAWS GlueApache AirflowMatillionStrong understanding of:ETL/ELT ConceptsData Integration PatternsData MigrationData TransformationData Validation FrameworksDatabasesAdvanced SQL expertise and experience with:SQL ServerOraclePostgreSQLMySQLSnowflakeAmazon RedshiftKnowledge of:Query OptimizationIndexingPartitioningPerformance TuningCloud SkillsHands-on experience with at least one cloud platform:Microsoft AzureAzure Data FactoryAzure Data LakeAzure SQL DatabaseSynapse AnalyticsAzure FunctionsAWSAWS GlueS3LambdaRedshiftEMRGoogle Cloud (Preferred)BigQueryDataflowCloud StorageBig Data & Modern Data TechnologiesPreferred experience with:Apache SparkPySparkHadoop EcosystemDatabricksKafkaDelta LakeLakehouse ArchitectureDevOps & AutomationGit / GitHub / GitLabAzure DevOpsJenkinsCI/CD PipelinesDockerKubernetes (Preferred)Terraform (Preferred)Leadership ResponsibilitiesLead a team of 5-15 data engineers and developers.Conduct code reviews and technical assessments.Drive sprint planning and technical estimations.Support hiring and onboarding activities.Establish development standards and governance practices.Ensure project deliverables meet quality and performance objectives.Required QualificationsBachelor's Degree in Computer Science, Engineering, Information Technology, or related discipline.12 years of overall IT experience.5+ years of hands-on ETL development experience.4+ years of Python development experience.2+ years of technical leadership experience.Strong understanding of Software Development Lifecycle (SDLC) and Agile methodologies.