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Data Engineer
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Epergne Solutions .
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Qualifications
Python : Proven expertise in leveraging Python for data manipulation, scripting, and the development of robust data-driven applications.
PySpark : In-depth experience in building and optimizing scalable data processing workflows using PySpark for distributed data transformation.
SQL : Strong command of SQL with the ability to craft complex queries, perform performance tuning, and design efficient relational databases.
AWS : Practical experience in architecting, deploying, and maintaining data solutions on AWS platforms such as
S3 ,
EMR ,
Glue ,
Lambda , and more.
Data Engineering : Comprehensive understanding of data warehousing architectures, ETL/ELT strategies, and best practices in designing resilient data pipelines.
Professional Skills : Demonstrated strength in analytical thinking, problem-solving, and clear communication.
Capable of working independently as well as in a collaborative team setting.
Preferred skills
Airflow : Hands-on experience in orchestrating, scheduling, and monitoring data workflows using Apache Airflow.
Snowflake : Working knowledge of Snowflake’s cloud data warehousing features and its use in analytical processing.
Version Control : Proficient in using Git-based version control systems such as Bitbucket for collaborative code management and CI/CD workflows.
Job details
Seniority level : Mid-Senior level
Employment type : Full-time
Job function : Information Technology
Industries : IT Services and IT Consulting
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