6 - 11 years
8 - 14 Lacs
Posted:18 hours ago|
Platform:
Work from Office
Full Time
Responsibilities: designing, developing, and maintaining scalable data pipelines using Databricks, PySpark, Spark SQL, and Delta Live Tables. Collaborate with cross-functional teams to understand data requirements and translate them into efficient data models and pipelines. Implement best practices for data engineering, including data quality, and data security. Optimize and troubleshoot complex data workflows to ensure high performance and reliability. Develop and maintain documentation for data engineering processes and solutions. Requirements: Bachelor's or Master's degree. Proven experience as a Data Engineer, with a focus on Databricks, PySpark, Spark SQL, and Delta Live Tables. Strong understanding of data warehousing concepts, ETL processes, and data modelling. Proficiency in programming languages such as Python and SQL. Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong leadership and communication skills, with the ability to mentor and guide team members.
IDESLABS PRIVATE LIMITED
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