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Hybrid Data Engineer

A.P. Moller - Maersk · India, Bangalore, 560064, Indien · Hybrid

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Oyster – Mit Oyster weltweit einstellen. Vereinfachte Gehaltsabrechnung und Compliance.

Gesponsert von Oyster

About the Role:

We are seeking a highly skilled and motivated Data Engineer to join our data team. The ideal candidate will have hands-on experience in building scalable data pipelines and working with big data technologies, particularly within the Azure ecosystem. You will play a key role in designing, developing, and maintaining robust data solutions that support analytics and business intelligence initiatives.

Key Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines using PySpark and Databricks.
  • Integrate and orchestrate data workflows using Azure Data Factory (ADF).
  • Write efficient and optimized SQL queries for data extraction, transformation, and loading.
  • Manage and maintain PostgreSQL databases, ensuring data integrity and performance.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
  • Implement data quality checks, monitoring, and alerting mechanisms.
  • Optimize data storage and processing for performance and cost-efficiency.
  • Document data processes, architecture, and workflows.

Required Skills & Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in data engineering or a similar role.
  • Strong proficiency in Python and PySpark for data processing.
  • Hands-on experience with Databricks and Azure Data Factory.
  • Solid understanding of SQL and experience with PostgreSQL or similar RDBMS.
  • Experience with data modeling, data warehousing, and performance tuning.
  • Familiarity with CI/CD pipelines and version control (e.g., Git).
  • Excellent problem-solving and communication skills.

Preferred Qualifications:

  • Experience with cloud platforms, especially Microsoft Azure.
  • Knowledge of Delta Lake, Lakehouse architecture, or similar technologies.
  • Exposure to DevOps practices and infrastructure-as-code tools.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

 

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