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We are looking for a highly skilled and motivated Data Engineer to join our team. You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that supports analytics, machine learning, and business intelligence initiatives across the company.
Job Responsibility:
Design, develop, and maintain robust ETL/ELT pipelines to ingest and process data from multiple sources
Build and maintain scalable and reliable data warehouses, data lakes, and data marts
Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver solutions
Ensure data quality, integrity, and security across all data systems
Optimize data pipeline performance and troubleshoot issues in a timely manner
Implement data governance and best practices in data management
Automate data validation, monitoring, and reporting processes
Requirements:
Bachelor's or Master’s degree in Computer Science, Engineering, Information Systems, or related field
Proven experience (X+ years) as a Data Engineer or similar role
Strong programming skills in Python, Java, or Scala
Proficiency with SQL and working knowledge of relational databases (e.g., PostgreSQL, MySQL)
Hands-on experience with big data technologies (e.g., Spark, Hadoop)
Familiarity with cloud platforms such as AWS, GCP, or Azure (e.g., S3, Redshift, BigQuery, Data Factory)
Experience with orchestration tools like Airflow or Prefect
Knowledge of data modeling, warehousing, and architecture design principles
Strong problem-solving skills and attention to detail
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