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Enterprise Data Specialist
12 hours ago
We are a leading international money transfer service that offers fast, reliable, and affordable way to send money across borders. Our mission is to provide innovative financial solutions for individuals and businesses around the world.
Job Title: Data Engineer
We are seeking a highly skilled Data Engineer to join our data team as we build an enterprise data platform from the ground up. This role is crucial to our mission of transforming raw data into valuable insights that drive decision-making across the organization. As a Data Engineer, you will be responsible for developing, managing, and optimizing data pipelines, data models, and ensuring data quality. Your expertise in SQL, Python, and cloud services such as AWS will help us design and implement scalable ETL processes to support data ingestion and transformation. You will also leverage Apache Spark for large-scale data processing and transformation tasks within the data lake, optimize transformation jobs for performance and cost-efficiency, and develop and maintain scalable data warehouses using PostgreSQL and Snowflake.
Responsibilities
The ideal candidate will be responsible for designing, developing, and maintaining data pipelines, data models, and ensuring data quality. You will also be responsible for leveraging Apache Spark for large-scale data processing and transformation tasks, optimizing transformation jobs for performance and cost-efficiency, and developing and maintaining scalable data warehouses using PostgreSQL and Snowflake. Additionally, you will collaborate with business and data analysts to gather data requirements and translate them into technical specifications, and develop and maintain data quality checks to ensure data in the lake and warehouse remains accurate, consistent, and reliable. You will also continuously explore and evaluate new technologies, tools, and methodologies to enhance the efficiency, scalability, and reliability of the data platform.
Requirements
To be successful in this role, you should have 2-3 years of proven experience as a Data Engineer or in a similar role. You should be proficient in SQL and Python, with strong skills in data manipulation and processing. Hands-on experience with cloud services such as AWS, Azure, or GCP is essential, especially tools like EMR, ADF, Glue, S3, CloudWatch, and DMS. Familiarity with data warehousing solutions and experience with both relational and non-relational databases are also required. Strong understanding of ETL processes and data pipeline development, with the ability to design and optimize workflows, is essential. Knowledge or experience with Spark and DBT is a plus. In addition, you should have excellent communication skills, with the ability to collaborate effectively across teams and explain complex concepts clearly. Self-motivated with strong problem-solving abilities, and a passion for continuous learning and professional growth is necessary.
How to Apply
If you are a dedicated data warehouse infrastructure professional with a passion for protecting digital assets and a desire to work in a dynamic and collaborative environment, we encourage you to apply. Please submit your resume and a cover letter detailing your relevant experience.
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