HM - Data Engineer Tech Lead

1 month ago


sany, India Xander Talent Full time
TeamLeadership: Lead and mentor a team of data engineersproviding technical guidance and support.Set clear objectives and priorities for the team and ensure thesuccessful execution of projects. Foster acollaborative and innovative work environment. Engage andcollaborate with stakeholders business leaders and SME s. DataPipeline Development: Build and optimize data pipelines forcollecting processing and storing data from varioussources. Implement data transformation andenrichment processes to support analytics andreporting.Data Quality andGovernance: Implement data quality checks andvalidation procedures to ensure data accuracy andconsistency. Define and enforce datagovernance standards and best practices.Integration andCollaboration: Collaborate with data analysts datascientists and other stakeholders to understand data requirementsand provide data solutions. Integrate datafrom multiple sources including databases APIs and external dataproviders.TechnologyStack: Stay uptodate with the latest dataengineering technologies and best practices. Select and manage the appropriate tools andtechnologies for data processing and storage such as databases datalakes and ETL frameworks. Handsonexperience managing / working with Informatica Snowflake JavaPython and cloud technologies is desired.PerformanceOptimization: Monitor and optimize data pipelines forperformance reliability andcosteffectiveness. Troubleshoot and resolvedatarelated issues as they arise. Documentationand Knowledge Sharing: Maintain thorough documentation of dataprocesses architectures and workflows.Promote knowledge sharing within the team and across theorganization.Qualifications: Bachelors or Masters degree in computerscience data engineering or a related field.Proven experience in data engineering with a focus on ETL datamodeling and data pipeline development.Strong programming skills in languages such as Python Java orScala. Expertise in working with datastorage solutions like databases (SQL and NoSQL) data lakes andcloudbased storage. Familiarity with bigdata technologies and cloud platforms (e.g. AWS AzureGCP). Experience with cloudbased ETLsolutions (e.g. AWS Glue Azure DataFactory). Leadership and team managementexperience. Strong problemsolving andcommunication skills. Understanding of datagovernance and data quality best practices.OptionalQualifications: Relevant certifications in data engineeringor cloud platforms. Experience with realtimedata processing and streaming technologies.

qualifications,python,datapipeline development,etl,team leadership,technology stack,dataquality and governance,sql,aws glue,data modeling,documentation andknowledge sharing,integration and collaboration,optionalqualifications,java,performance optimization,azure datafactory


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