Big Data Solutions Expert

1 week ago


Karachi, Sindh, Pakistan beBeeBig Full time 1,000,000 - 1,500,000

Job Title: Big Data Solutions Expert

Job Overview:

We are seeking a highly skilled and experienced professional to play a pivotal role in building, deploying, and optimizing data infrastructure and pipelines in a scalable cloud-based architecture.

The ideal candidate will have a strong foundation in big data, distributed computing, and cloud-based data solutions, with expertise in designing, developing, and maintaining large-scale data pipelines using modern big data technologies and cloud-native tools.

  • Key Responsibilities:
  • Design, develop, and maintain large-scale data pipelines using modern big data technologies and cloud-native tools.
  • Build scalable and efficient distributed data processing systems using Hadoop, Spark, Hive, and Kafka.
  • Work extensively with cloud platforms (preferably AWS) and services like EMR, Glue, Lambda, Athena, S3.
  • Design and implement data integration solutions pulling from multiple sources into a centralized data warehouse or data lake.
  • Develop pipelines using DBT (Data Build Tool) and manage workflows with Apache Airflow or Step Functions.
  • Write clean, maintainable, and efficient code using Python, PySpark, or Scala for data transformation and processing.
  • Build and manage relational and columnar data stores such as PostgreSQL, MySQL, Redshift, Snowflake, HBase, ClickHouse.
  • Implement CI/CD pipelines using Docker, Jenkins, and other DevOps tools.
  • Collaborate with data scientists, analysts, and other engineering teams to deploy data models into production.
  • Drive data quality, integrity, and consistency across systems.
  • Participate in Agile/Scrum ceremonies and utilize JIRA for task management.
  • Provide mentorship and technical guidance to junior team members.
  • Contribute to continuous improvement by making recommendations to enhance data engineering processes and architecture.
Requirements:
  • 5+ years of hands-on experience as a Data Engineer
  • Deep knowledge of Big Data technologies – Hadoop, Spark, Hive, Kafka
  • Expertise in Python, PySpark and/or Scala
  • Proficient with data modeling, SQL scripting, and working with large-scale datasets
  • Experience with distributed storage like HDFS and cloud storage (e.g., AWS S3)
  • Hands-on with data orchestration tools like Apache Airflow or StepFunction
  • Experience working in AWS environments with services such as EMR, Glue, Lambda, Athena
  • Familiarity with data warehousing concepts and experience with tools like Redshift, Snowflake (preferred)
  • Exposure to tools like Informatica, AbInitio, Apache Iceberg is a plus
  • Knowledge of Docker, Jenkins, and other CI/CD tools
  • Strong problem-solving skills, initiative, and a continuous learning mindset
Preferred Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
  • Experience with open table formats such as Apache Iceberg
  • Hands-on with AbInitio (GDE, Collect > IT) or Informatica tools
  • Knowledge of Agile methodology, working experience in JIRA
Soft Skills:
  • Self-driven, proactive, and a strong team player
  • Excellent communication and interpersonal skills
  • Passion for data and technology innovation
  • Ability to work independently and manage multiple priorities in a fast-paced environment

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: IT Services and IT Consulting


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