Senior Data Engineer: Spark, SQL & Cloud Pipelines

TEKFORTUNE INC

Pennsylvania

Vor Ort

USD 110.000 - 150.000

Vollzeit

Vor 10 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

TEKFORTUNE INC is seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and data integration solutions. The role requires strong Python, PySpark, and SQL skills and hands-on ETL/ELT experience.

You will work with cloud platforms such as AWS, Azure, or GCP, implement data processing and transformation solutions, and ensure data quality, accuracy, and performance while collaborating with business and technical teams to understand data requirements.

Qualifikationen

  • Strong experience in Python, PySpark, and SQL.
  • Hands-on experience with ETL/ELT and data warehousing.
  • Experience with Databricks, Snowflake, or similar platforms.
  • Knowledge of cloud data services (AWS/Azure/GCP).
  • Experience with data modeling and pipeline optimization.

Aufgaben

  • Design, develop, and maintain scalable data pipelines.
  • Build and optimize ETL/ELT workflows for data integration.
  • Develop data solutions using Python, PySpark, and SQL.
  • Work with cloud platforms such as AWS, Azure, or GCP.
  • Implement data processing and transformation solutions.
  • Ensure data quality, accuracy, and performance.
  • Collaborate with business and technical teams to understand data requirements.

Kenntnisse

Python
PySpark
SQL

Tools

Databricks
Snowflake
Cloud Platforms (AWS/Azure/GCP)

Jobbeschreibung

TEKFORTUNE INC is seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and data integration solutions. The role requires strong Python, PySpark, and SQL skills and hands-on ETL/ELT experience.

You will work with cloud platforms such as AWS, Azure, or GCP, implement data processing and transformation solutions, and ensure data quality, accuracy, and performance while collaborating with business and technical teams to understand data requirements.

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