Senior Data Integration Specialist

2 days ago

Karachi, Sindh, Pakistan beBeeDataIntegration Full time 1,500,000 - 2,000,000

Senior Data Integration Specialist

We are seeking a highly skilled professional to lead our data integration efforts. The ideal candidate will have extensive experience in designing and developing complex data pipelines, leveraging modern Big Data and cloud technologies.

About the Role:

The successful candidate will be responsible for designing and implementing scalable data workflows using cutting-edge tools and technologies. This includes working with distributed data processing frameworks, data modeling, and data warehousing principles.

  • Develop and maintain complex data pipelines using Big Data and cloud-native technologies.

  • Leverage tools such as Ab Initio, Informatica, DBT, and Apache Spark to build robust data solutions.

  • Implement distributed data processing using Hadoop, Hive, Kafka, and Spark.

  • Build and optimize data pipelines in AWS using services like EMR, Glue, Lambda, Athena, and S3.

  • Work with various structured and unstructured data sources to perform efficient data ingestion and transformation.

  • Write optimized SQL queries and manage stored procedures for complex data processing tasks.

  • Orchestrate workflows using Airflow, AWS Step Functions, or similar schedulers.

  • Collaborate with cross-functional teams to understand data needs and deliver high-quality datasets for analytics and reporting.

  • Deploy data models into production environments and ensure robust monitoring and resource management.

  • Mentor junior engineers and contribute to the team's knowledge sharing and continuous improvement efforts.

  • Identify and recommend process and technology improvements to enhance data pipeline performance and reliability.

Required Skills & Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.

  • 4+ years of hands-on experience in ETL development, data engineering, and data pipeline orchestration.

  • Strong working knowledge of Ab Initio, Informatica, or similar ETL tools.

  • Expertise in Python, PySpark, or Scala for data processing.

  • Proven experience in Big Data technologies (Hadoop, Hive, Spark, Kafka).

  • Proficient with AWS services related to data engineering (EMR, Glue, Lambda, Athena, S3).

  • In-depth understanding of data modeling, ETL cycle, data warehousing, and data management principles.

  • Hands-on experience with relational (PostgreSQL, MySQL) and columnar databases (Redshift, HBase, Snowflake).

  • Familiarity with containerization (Docker), CI/CD pipelines (Jenkins), and Agile tools (Jira).

  • Ability to troubleshoot complex data issues and propose scalable solutions.

  • Excellent communication and collaboration skills.

Benefits:

  • Hybrid work model with flexibility to work from home and office.

  • Exposure to cutting-edge technologies and high-impact projects.

  • Collaborative team environment with opportunities for growth and innovation.

  • Culture that values ownership, continuous learning, and mutual respect.

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