Posted:2 hours ago|
Platform:
Hybrid
Full Time
•Proficiency in programming languages (Python, Java, Scala) for data engineering tasks.
•Strong command of SQL and understanding of relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
•Experience with cloud platforms (AWS, Azure, GCP), including deploying and managing data solutions in cloud environments.
•Familiarity with big data tools (such as Spark, Hadoop, Airflow) for large-scale data processing.
•Solid understanding of data modeling, data warehousing concepts, and ETL frameworks.
•Knowledge of data security best practices and regulatory compliance (GDPR, CCPA).
•Strong analytical and problem-solving skills.
Emids Technologies
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