Chief Data Strategist

1 week ago

Aligarh, Uttar Pradesh, India beBeeData Full time ₹ 18,00,000 - ₹ 25,00,000
Job Title:

Senior Data Architect

Job Description:

We are seeking an experienced Senior Data Architect to lead the development of our data platform. This role will be responsible for designing and implementing ETL processes to extract, transform, and load data from various sources into a centralized data lake and warehouse.

The successful candidate will have a strong background in Databricks PySpark development and experience working with large-scale data warehousing and ETL frameworks. They will also possess excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Key Responsibilities:
  1. Design and Develop ETL Processes: Design and develop ETL processes using Databricks PySpark to extract, transform, and load data from heterogeneous sources into our data lake and data warehouse.
  2. Optimize ETL Workflows: Optimize ETL workflows for performance and scalability, leveraging Databricks PySpark and Spark SQL to efficiently process large data volumes.
  3. Implement Robust Error Handling: Implement robust error handling and monitoring mechanisms to proactively detect and resolve issues within ETL processes.
  4. Develop Advanced Data Pipelines: Develop and maintain advanced data pipelines using Databricks workflows, ensuring data quality, integrity, and reliability throughout the ETL lifecycle.
Required Skills and Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Minimum of 3 years of experience as an ETL developer, with a strong focus on Databricks PySpark development.
  • Proficiency in Python programming, with extensive experience in developing and debugging Databricks PySpark applications.
  • In-depth understanding of Spark architecture and internals, with hands-on experience in Spark RDDs, DataFrames, and Spark SQL.
  • Expertise in writing and optimizing complex SQL queries for data manipulation, aggregation, and analysis.
Preferred Qualifications:
  • Experience with cloud platforms, preferably AWS.
  • Experience with data platform tools such as DataBricks, Snowflake, and Tableau.
  • Demonstrated ability to implement best practices for ETL processes and data management.
  • Strong understanding of data governance and data quality principles.

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