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AVP Data Engineer
5 months ago
Minimum of 8 years of hands-on experience in data engineering, ETL development, and data integration.Proficiency in SQL and NoSQL databases, data warehousing, and data modelling concepts.Strong coding skills in languages like Python, Java, Scala, R, or Go.Experience with data processing frameworks such as Hadoop, Spark, and cloud-based data services (AWS, Azure, GCP).Familiarity with version control systems (e.g., Git) and data versioning.Solid understanding of data security protocols and compliance standards.Excellent problem-solving, troubleshooting, communication, and teamwork abilities.
Role requirements
Develop and optimize ETL processes to extract, transform, and load data from diverse sources.Integrate and consolidate data from multiple systems to provide a unified view for reporting and analytics.Utilize data pipeline orchestration tools such as Apache Unifi or Apache Airflow to automate workflows.Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.