Senior Data Engineer Position

11 hours ago


Lahore, Punjab, Pakistan ACE Money Transfer Full time

**ACE Money Transfer** seeks a highly skilled **Data Warehouse Solutions Expert** to develop and implement data warehouse solutions that meet the needs of our organization.

As a key member of our team, you will design and develop robust data pipelines, create efficient data ingestion pipelines and ETL processes, and develop processes to integrate data warehouse solutions into operational IT environments.

**Responsibilities Include:**

  • Designing and developing ETL architectures to support data warehousing solutions.
  • Creating data quality checks to ensure data accuracy and consistency.
  • Developing documentation and presenting data workflows to teams.
  • Collaborating with cross-functional teams to gather requirements and ensure alignment with project goals.
  • Managing and optimizing data lakes on cloud platforms.
  • Writing, optimizing, and maintaining complex SQL queries and shell scripts.
  • Continuously monitoring system performance and recommending necessary configurations or infrastructure improvements.

**Requirements:**

  • Bachelor's or Master's degree in Engineering, Computer Science, or equivalent experience.
  • At least 4+ years of relevant experience as a Data Engineer.
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with respective cloud services.
  • Experience with one or more ETL tools such as Glue, Spark, Kafka, Informatica, DataStage, Talend, Azure Data Factory (ADF).
  • Strong understanding of dimensional modeling techniques, including Star and Snowflake schemas.
  • Experience in creating semantic models and reporting mapping documents.
  • Solid concepts and experience in designing and developing ETL architectures.
  • Proficiency in RDBMS concepts and proficiency in SQL development.
  • Proficiency in data modeling and mapping techniques.
  • Experience integrating data from multiple sources.
  • Experience working in distributed environments, including clustering and sharding.
  • Knowledge of Big Data tools like Pig, Hive or NiFi would be a plus.
  • Experience with Hadoop distributions like Cloudera or Hortonworks would be a plus.
  • Excellent communication and presentation skills, both verbal and written.
  • Ability to solve problems using a creative and logical approach.
  • Self-motivated, analytical, detail-oriented, and organized, with a commitment to excellence.
  • Experience in the financial services sector is a plus.


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