Senior Data Analyst Position

1 day ago


Chennai, Tamil Nadu, India Revature Full time
About the Role

We are seeking a highly skilled Data Engineer to join our team at Revature. This is an exciting opportunity for an individual with expertise in data integration, transformation, and analysis.

This role involves designing, developing, and optimizing ETL pipelines using PySpark and Azure Databricks. You will work closely with cross-functional teams to develop and maintain data pipelines and ensure data quality and consistency across systems.

Key Responsibilities
  • Develop and optimize ETL pipelines using PySpark and Azure Databricks.
  • Implement data processing and transformation logic in Python and PySpark to handle large datasets efficiently.
  • Work with Hadoop-based data lakes and Azure cloud storage solutions to manage and retrieve data as required.
  • Collaborate with data scientists and analysts to provide data-driven insights and solutions.
  • Perform data profiling, validation, and quality assurance to ensure data accuracy and consistency.
  • Optimize data models and pipelines for performance, scalability, and reliability.
  • Utilize Azure Databricks for data processing workflows, managing resources, and ensuring job efficiency.
  • Monitor, troubleshoot, and resolve data pipeline issues to ensure minimal downtime and data accuracy.
  • Contribute to documentation and best practices for data engineering processes and standards.
Required Skills and QualificationsEducation and Experience
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 3+ years of experience in data engineering, with hands-on experience in PySpark, Python, Hadoop, and Azure Databricks.
Technical Skills
  • Strong experience with Python and PySpark for data transformation and analysis.
  • Proficiency in Hadoop ecosystems (HDFS, Hive, HBase) for data storage and retrieval.
  • Experience with Azure Databricks and other Azure data services, including Azure Data Lake, Azure Blob Storage, and Azure Synapse.
  • Strong SQL skills for data manipulation, querying, and validation.
  • Knowledge of ETL processes and tools, including performance optimization techniques.
Analytical Skills
  • Strong problem-solving skills with the ability to troubleshoot complex data issues.
  • Proficiency in handling large datasets and performing data profiling and cleansing.
Compensation and Benefits

The estimated salary range for this position is between $120,000 and $180,000 per year, depending on experience. We also offer a comprehensive benefits package, including health insurance, 401(k) matching, and paid time off.



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