Data Engineer (PySpark & Data Modeling)

GSSTech Group

Employer Active

Posted on 31 Mar

Experience

3 - 8 Years

Education

Any Graduation

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using PySpark
  • Perform data modeling (Star Schema, Snowflake, etc.) for analytics and reporting
  • Build and optimize ETL/ELT workflows for large-scale datasets
  • Work with structured and unstructured data across multiple sources
  • Ensure data quality, integrity, and governance standards
  • Collaborate with data analysts, scientists, and business stakeholders
  • Optimize performance of Spark jobs and data processing systems
  • Support deployment and monitoring of data solutions in production

Required Skills & Qualifications

  • Strong experience in PySpark and Apache Spark ecosystem
  • Hands-on experience in data modeling (Star Schema, Snowflake, etc.)
  • Proficiency in SQL and database technologies
  • Experience with data warehousing concepts
  • Knowledge of ETL/ELT tools and frameworks
  • Understanding of big data technologies (Hadoop, Hive, Kafka, etc.)
  • Strong problem-solving and analytical skills

Desired Candidate Profile

Required Skills & Qualifications

  • Strong experience in PySpark and Apache Spark ecosystem
  • Hands-on experience in data modeling (Star Schema, Snowflake, etc.)
  • Proficiency in SQL and database technologies
  • Experience with data warehousing concepts
  • Knowledge of ETL/ELT tools and frameworks
  • Understanding of big data technologies (Hadoop, Hive, Kafka, etc.)
  • Strong problem-solving and analytical skills

/p> Preferred Qualifications

  • Experience in banking/financial services domain
  • Exposure to data governance and data quality frameworks
  • Knowledge of CI/CD pipelines and DevOps practices

/p>

Company Industry

Department / Functional Area

Keywords

  • Data Engineer (PySpark & Data Modeling)

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