26 applicants

Company

Original Job Post

Visa · 3 days ago

Senior Manager - Data Engineering

Atlanta, GA

Full-time

Hybrid

Senior Level

$164K/yr - $220K/yr

5+ years exp

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Comp. & Benefits

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Responsibilities

Establish data processes and automation based on business and technology requirements, leveraging Visa's supported data platforms and tools.

Deliver small to large data engineering projects either individually or as part of a project team.

Develop and maintain data models and schema designs for efficient data storage and retrieval, with a strong understanding of best practices in data modeling and data architecture.

Design and implement data pipelines to extract, transform, and load data from various sources into the data warehouse, with a strong focus on reusability, performance, scalability and cost efficiency.

Collaborate with cross-functional teams to understand data requirements and ensure data quality, with a focus on implementing data validation and data quality checks at various stages of the pipeline.

Provide expertise in data warehousing, ETL, and data modeling to support data-driven decision making, with a strong understanding of best practices in data pipeline design and performance optimization.

Extract and manipulate large datasets using standard tools such as Hadoop (Hive), Spark, Python (pandas, NumPy), Presto, and SQL.

Develop data solutions using Agile principles.

Provide ongoing production support.

Communicate complex concepts in a clear and effective manner.

Stay up-to-date with the latest data engineering trends and technologies to ensure the company's data infrastructure is always state-of-the-art, with an understanding of best practices in cloud-based data engineering.

Position reports to the employer's Atlanta, GA office and may allow for partial telecommuting.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

HadoopSparkHiveDatabricksSQLAirflowSSISTableauPower BIODIPythonJAVAData ScienceMachine LearningMLOps applicationsCloud TechnologiesAWSAzureGCPData ArchitectureModelingVisioDW modeling applications

Required

Bachelor's degree in Electronics Engineering, Computer Science, or related field and 5 years of experience in the job offered or in a Senior Manager - Data Engineering-related occupation

Hadoop, Spark, Hive, Databricks, SQL, and Airflow

Business Intelligence tools: SSIS, Tableau, Power BI, ODI, and SQL

Programing Language: Python or JAVA

Data Science and Machine Learning: Python, MLOps applications

Cloud Technologies: AWS or Azure or GCP

Data Architecture and modeling: Visio, and DW modeling applications