Enterprise Data Infrastructure Lead

1 week ago

Lahore, Punjab, Pakistan beBee Careers Full time

Job Overview:

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We are seeking an Enterprise Data Infrastructure Lead to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining robust data infrastructure to ensure the availability, scalability, and reliability of our data systems.

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Key Responsibilities:

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  • ">
  • Design Data Pipelines: Design, develop, and manage robust, scalable, and high-performance data pipelines and ETL processes using tools like Spark, Kafka, or other cloud-native solutions.">
  • Real-Time Data Processing: Design, implement, and optimize real-time data processing pipelines using tools such as Kafka, Spark Streaming, or Flink.">
  • Big Data Solutions: Design and implement big data solutions to process large-scale event records, ensuring workflows are optimized for efficiency and scalability.">
  • Data Modeling and Schema Design: Collaborate with stakeholders to understand data requirements and design appropriate data models and database schemas that meet business needs.">
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Required Skills and Qualifications:

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  1. ">
  2. Bachelor's or Master's degree in Computer Science, Engineering, or a related field.">
  3. At least 5 years of proven experience in data warehouse and platform infrastructures, big data technologies, and large-scale data processing and ETL pipelines.">
  4. Hands-on experience with cloud computing platforms like AWS, Azure, or GCP.">
  5. Strong experience with SQL and database technologies, including relational databases, SQL queries, and data modeling.">
  6. Proven experience with big data solutions and technologies such as Hadoop, Hive, and distributed systems.">
  7. Experience with distributed and NoSQL database environments such as Cassandra, MongoDB, or HBase.">
  8. Proficiency in Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.">
  9. Familiarity with building scalable applications from the ground up, including server configuration and platform architecture.">
  10. Knowledge of data integration and workflow management tools such as Apache Airflow, Glue, Dagster, or ADF.">
  11. Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.">
  12. Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.">
  13. Attention to detail and a strong commitment to delivering high-quality work within established timelines.">
  14. Proven experience in the fintech domain is a plus.">
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Benefits:

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We offer a dynamic and collaborative work environment, opportunities for professional growth and development, and a competitive compensation package.

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How to Apply:

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Please submit your resume and a cover letter detailing your relevant experience and qualifications.

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