Cloud Data Engineering Lead
10 hours ago
Job DescriptionLead data engineers are responsible for designing, developing, and optimizing data pipelines and warehouse solutions on cloud-based platforms.They will work with cross-functional teams to deliver robust data solutions that meet the needs of stakeholders.Data engineers in this role must ensure high standards of data quality, governance, and security across pipelines and platforms.Leveraging workflow orchestration tools like Apache Airflow, they will schedule and monitor workflows to ensure seamless data processing.Integrating data from multiple sources using tools like Fivetran and Qlik Replicate is also a key responsibility.The successful candidate will provide technical leadership, mentoring, and guidance to junior engineers in the team.They will optimize costs, performance, and scalability of cloud-based data environments to ensure maximum efficiency.Contribution to architectural decisions, code reviews, and best practices is expected.Required Skills & Experience8-12 years of experience in data engineering, with at least 3-4 years in a lead role.Strong hands-on expertise in Snowflake (data modeling, performance tuning, query optimization, security, and cost management).Proficiency in dbt (core concepts, macros, testing, documentation, and deployment).Solid programming skills in Python (for data processing, automation, and integrations).Experience with workflow orchestration tools such as Apache Airflow.Exposure to ELT/ETL tools.Strong understanding of modern data warehouse architectures, data governance, and cloud-native environments.Excellent problem-solving, communication, and leadership skills.Good to HaveHands-on experience with Databricks (PySpark, Delta Lake, MLflow).Exposure to other cloud platforms (AWS, Azure, or GCP).Experience in building CI/CD pipelines for data workflows.
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Cloud Data Engineer
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Cloud Data Engineer
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Lead Data Scientist
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Lead Data Scientist
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