Senior Data Solutions Specialist

5 days ago


Lahore, Punjab, Pakistan ACE Money Transfer Full time

About Our Team at ACE Money Transfer

We are a dynamic team of professionals passionate about delivering exceptional international money transfer services.

Job Overview:

This role requires a highly skilled Data Engineer to design and develop scalable data warehouse solutions. You will lead the implementation of data pipelines, ETL processes, and data lake management. Your expertise will enable us to deliver high-quality data insights that drive business decisions.

Key Responsibilities:

  1. Data Architecture Design: Develop robust data architectures that handle structured and unstructured data efficiently.
  2. Data Ingestion and Processing: Design and implement efficient data ingestion pipelines and ETL processes using tools like Glue, Spark, or Kafka.
  3. Integration and Interoperability: Ensure seamless integration between data warehouse solutions and operational IT environments.
  4. Data Governance and Quality: Establish data quality checks and ensure data accuracy, consistency, and reliability.
  5. Collaboration and Communication: Work closely with stakeholders to gather requirements and ensure project alignment.
  6. Research and Development: Stay updated with technological trends and identify innovative solutions to address customer challenges.
  7. Project Management: Collaborate with project managers to scope projects, create work breakdown structures, and conduct risk assessments.

Required Skills and Qualifications:

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


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