Data Infrastructure Specialist

3 days ago

Lahore, Punjab, Pakistan beBee Careers Full time

About the Role:

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We are seeking a seasoned Senior Data Engineer to design, develop, and optimize large-scale data pipelines, architect cloud-based data solutions, and manage complex data environments using cloud technologies.

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Responsibilities:

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  • Data Pipeline Development\
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    • Develop and maintain scalable ETL/ELT pipelines using AWS services such as Glue, EMR, and Athena.\
    • Automate complex workflows using AWS Step Functions.\
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      • Data Warehousing\
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        • Design and manage data warehouses using cloud technologies, integrating with S3, RDS, and DynamoDB for both structured (SQL) and unstructured (NoSQL) data needs.\
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          • Big Data Processing\
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            • Use PySpark on AWS EMR for distributed data processing, ensuring effective transformation of raw data into business insights.\
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              • Database Management\
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                • Manage both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB, MongoDB) databases, ensuring data is efficiently stored, retrieved, and queried.\
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                  • Real-Time Data Processing\
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                    • Implement and maintain real-time streaming data solutions using AWS Kinesis or Kafka for low-latency data processing.\
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                      • Cloud Monitoring & Automation\
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                        • Monitor, automate, and optimize data pipelines using AWS CLI and CloudWatch, ensuring efficient use of cloud resources.\
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                          • Data Governance & Security\
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                            • Ensure adherence to best practices for data security, governance, and compliance, including data encryption and access controls.\
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                              • Collaboration\
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                                • Collaborate with data scientists, analysts, and business stakeholders to align data infrastructure with business objectives.\
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                                  • Documentation\
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                                    • Maintain detailed documentation of data models, data pipeline processes, and system architectures.\
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Requirements:

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  • 5+ years of experience as a Data Engineer, with a strong emphasis on cloud-based data warehousing and ETL pipelines.\
  • Proficiency with AWS services including EMR, Athena, Glue, Step Functions, ElasticSearch, RDS, Redshift, DynamoDB, and S3.\
  • Advanced SQL skills and experience with relational databases like PostgreSQL, MySQL as well as NoSQL databases such as MongoDB and DynamoDB.\
  • Hands-on experience in Python for data processing and automation, with knowledge of AWS CLI.\
  • Strong proficiency with PySpark for distributed data processing and transformation.\
  • Experience with AWS CloudWatch for monitoring and optimizing data workflows.\
  • Data warehouse architecture experience, including optimizing query performance in large-scale environments.\
  • Strong understanding of data governance, security, and compliance best practices.\
  • Bachelor's degree in Computer Science, Engineering, or a related field.\
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Nice to Have:

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  • Familiarity with real-time data streaming solutions such as Apache Kafka or AWS Kinesis.\

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