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3 days ago
Impetus is seeking a highly skilled data engineer to design and implement robust and scalable data pipelines using cloud services. The ideal candidate will have 4-7 years of experience in data engineering and ETL/ELT processes, with expertise in designing and implementing solutions using pySpark and Spark SQL.
- Main Responsibilities:
- Design and implement data pipelines using GCP/AWS/Azure services
- Drive architectural decisions for data solutions on cloud platforms, ensuring scalability, security, and cost-effectiveness
- Develop and deploy ETL/ELT processes using Glue/Azure data factory, Lambda/Azure functions, Step function/Azure logic apps/MWAA, S3 and Lake formation from various data sources
- Strong Proficiency in pySpark, SQL, Python
- Proficiency in SQL for data querying and manipulation
- Experience with data modeling, ETL processes, and data warehousing concepts
- Create and maintain documentation for data pipelines, processes, and following best practices
- Knowledge of various Spark optimization techniques, monitoring, and automation would be a plus
- Participate in code reviews and ensure adherence to coding standards and best practices
- Understanding of data governance, compliance, and security best practices
- Strong problem-solving and troubleshooting skills
- Excellent communication and collaboration skills – with understanding on stakeholder mapping
The successful candidate will have hands-on experience with AWS, GCP OR Azure Cloud, Python programming, SQL, Spark SQL, Hive, Spark optimization techniques, and Pyspark.
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