Data Warehouse Architect
Lahore, Punjab, Pakistan
Full Time
ASC
Manager/Supervisor
Position Title: Data Warehouse Architect
Location: Lahore / Kharian
Position Type: Full-Time (Monday to Friday)
Who we are:
ACE Money Transfer is a UK-based company headquartered in Manchester, United Kingdom. The company is an online remittance service provider for customers from the UK, Canada, Australia, and the European Union, including Switzerland. The company is a parent company in a group of companies with a diversified portfolio, including digital wallet services in the UK and real estate, advertising businesses, and software solutions in Pakistan.
Position Overview:
As a Data warehouse Architect, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring our data systems' availability, scalability, and reliability. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to support data-driven decision-making and enable the efficient processing of large-scale data.
Responsibilities:
• Design and develop robust, scalable, high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.
• Design and develop Big data Solutions for billion of event records and optimize the workflows.
• Collaborate with stakeholders to understand their data requirements, and design and implement appropriate data models and database schemas to support their needs.
• Optimize data pipelines and ETL processes for performance and efficiency, ensuring timely and accurate data delivery to end-users.
• Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.
• Implement and maintain data governance practices and policies, ensuring compliance with data privacy and security regulations.
• Collaborate with data scientists and analysts to provide them with the necessary data infrastructure and tools for conducting advanced analytics and deriving insights.
• Stay up to date with the latest trends and technologies in data engineering and recommend innovative solutions to improve data engineering processes and systems.
• Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain an up-to-date repository of technical documentation.
• Work closely with cross-functional teams, including software engineers and infrastructure teams, to optimize data infrastructure and ensure its seamless integration with other systems.
• Include experience with real-time data processing tools like Kafka, Spark Streaming, or Flink.
Requirements:
• At least 5+ years of proven experience in Data warehouse and platform infrastructures.
• Bachelors or Masters degree in computer science, Engineering, or a related field.
• Proven Experience of working with big data technologies and big data solutions.
• Proven Experience of working with distributive and NoSQL database environments.
• Proven experience as a Data Engineer or in a similar role, working with large-scale data processing and ETL pipelines.
• Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.
• Experience with SQL and database technologies (e.g., relational databases, SQL queries, data modeling).
• Proficiency in working with big data technologies such as Hadoop, and Hive and knowledge of distributed systems and cloud computing platforms (e.g., AWS, Azure, GCP).
• Familiarity with data integration and workflow management tools such as Apache Airflow, Dagster , ADF, or Glue.
• Knowledge of data warehousing concepts and experience with data warehousing solutions is highly desirable.
• Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Attention to detail and a strong commitment to delivering high-quality work within established timelines.
• Proven Experience in a fintech domain will be a plus.
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 to https://acemoneytransfer.applytojob.com/apply/.
ACE Money Transfer is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
ACE Money Transfer Profile: https://acemoneytransfer.com/company-profile
Location: Lahore / Kharian
Position Type: Full-Time (Monday to Friday)
Who we are:
ACE Money Transfer is a UK-based company headquartered in Manchester, United Kingdom. The company is an online remittance service provider for customers from the UK, Canada, Australia, and the European Union, including Switzerland. The company is a parent company in a group of companies with a diversified portfolio, including digital wallet services in the UK and real estate, advertising businesses, and software solutions in Pakistan.
Position Overview:
As a Data warehouse Architect, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring our data systems' availability, scalability, and reliability. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to support data-driven decision-making and enable the efficient processing of large-scale data.
Responsibilities:
• Design and develop robust, scalable, high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.
• Design and develop Big data Solutions for billion of event records and optimize the workflows.
• Collaborate with stakeholders to understand their data requirements, and design and implement appropriate data models and database schemas to support their needs.
• Optimize data pipelines and ETL processes for performance and efficiency, ensuring timely and accurate data delivery to end-users.
• Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.
• Implement and maintain data governance practices and policies, ensuring compliance with data privacy and security regulations.
• Collaborate with data scientists and analysts to provide them with the necessary data infrastructure and tools for conducting advanced analytics and deriving insights.
• Stay up to date with the latest trends and technologies in data engineering and recommend innovative solutions to improve data engineering processes and systems.
• Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain an up-to-date repository of technical documentation.
• Work closely with cross-functional teams, including software engineers and infrastructure teams, to optimize data infrastructure and ensure its seamless integration with other systems.
• Include experience with real-time data processing tools like Kafka, Spark Streaming, or Flink.
Requirements:
• At least 5+ years of proven experience in Data warehouse and platform infrastructures.
• Bachelors or Masters degree in computer science, Engineering, or a related field.
• Proven Experience of working with big data technologies and big data solutions.
• Proven Experience of working with distributive and NoSQL database environments.
• Proven experience as a Data Engineer or in a similar role, working with large-scale data processing and ETL pipelines.
• Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.
• Experience with SQL and database technologies (e.g., relational databases, SQL queries, data modeling).
• Proficiency in working with big data technologies such as Hadoop, and Hive and knowledge of distributed systems and cloud computing platforms (e.g., AWS, Azure, GCP).
• Familiarity with data integration and workflow management tools such as Apache Airflow, Dagster , ADF, or Glue.
• Knowledge of data warehousing concepts and experience with data warehousing solutions is highly desirable.
• Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Attention to detail and a strong commitment to delivering high-quality work within established timelines.
• Proven Experience in a fintech domain will be a plus.
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 to https://acemoneytransfer.applytojob.com/apply/.
ACE Money Transfer is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
ACE Money Transfer Profile: https://acemoneytransfer.com/company-profile
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