Data Engineering Analyst
1 month ago
About Revature
We are a technology company that empowers individuals to succeed in the world of tech. Our goal is to provide opportunities for people to learn and grow as developers.
Salary Range
$120,000 - $180,000 per year
Data Engineer Role
We are looking for a skilled Data Engineer Analyst with expertise in PySpark, Python, Hadoop, and Azure Databricks to join our team. You will play a key role in data integration, transformation, and analysis, working with large datasets to deliver insights that drive business decisions.
In this role, you will collaborate with cross-functional teams, including data scientists, data engineers, and business analysts, to develop and maintain data pipelines, and ensure data quality and consistency across systems.
Key Responsibilities
- Design, develop, and optimize ETL pipelines for data ingestion, transformation, and loading, 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.
Required Skills and Qualifications
- 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.
- 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.
Why Join Us?
We offer a competitive salary range of $120,000 - $180,000 per year, along with opportunities for growth and development. If you are passionate about data engineering and want to be part of a dynamic team, apply now
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