Data Engineer Expert

14 hours ago


Lahore, Punjab, Pakistan ACE Money Transfer Full time
Company Overview
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 Description
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.

Key Responsibilities
  • Develop and manage data pipelines using SQL, Python, and cloud services such as AWS.
  • Leverage Apache Spark for large-scale data processing and transformation tasks.
  • Optimize transformation jobs for performance and cost-efficiency.
  • Develop and maintain scalable data warehouses using PostgreSQL and Snowflake.

Required Skills and Qualifications
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.

Benefits
We offer a competitive salary, comprehensive benefits package, and opportunities for career growth and professional development. 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.

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