Technical Lead with 10+ yrs of experience as well as expertise in data engineering and analytics in
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In-depth knowledge of Apache Spark, Pyspark and Databricks architecture.
- Strong programming skills in languages such as Python or Scala.
- Experience with data engineering concepts, ETL processes, and data modeling.
- Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
- Design and implement scalable and efficient data processing architectures using Databricks.
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Handson experience in writing python code, pyspark notebooks and Azure Cloud, Configure Databricks clusters and ensure adherence to best practices and coding standards
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Make strategic decisions regarding data organization, storage, and processing.
- Lead and mentor a team of data engineers and data scientists.
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Provide technical guidance and support to ensure the team's success.
- Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks.
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Optimize the performance of big data processing tasks and analytics jobs.
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Collaborate with cross-functional teams, including data science, business intelligence, and infrastructure teams.
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Ensure seamless integration of data pipelines with various systems.
- Ensure consistency, quality, and maintainability of the codebase.
- Optimize queries and resolve technical challenges during development and production.
- Manage the technical aspects of projects, including timelines and resource allocation.
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Coordinate with stakeholders to ensure project goals are met.
- Excellent leadership and communication skills.