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We are seeking a motivated and detail-oriented Data Engineer to join our data engineering team. The role focuses on developing workflow automation using Apache Airflow and building scalable data pipelines. You will collaborate with data scientists, analysts, and engineering teams to ensure seamless data integration and optimize data-driven processes.
Job Responsibility:
Design, build, and maintain scalable data pipelines and ETL processes to transform and integrate data from multiple sources
Develop workflow automation using Apache Airflow and manage production batches with performance tuning
Create and optimize data models, schemas, and database structures for scalability and efficiency
Implement best practices in data warehouse and MDM applications, ensuring data governance, security, and quality
Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions
Develop scripts and automation tools to streamline data processing and pipeline operations
Implement automated monitoring, alerting systems, and maintain documentation for pipelines and data models
Create reports and visualizations to communicate pipeline performance and data insights
Requirements:
Bachelor’s degree in Computer Science, Information Technology, or related field
10+ years of experience in data warehouse and MDM applications
Extensive knowledge of SQL and relational databases
Strong programming skills in Python and PL/SQL
10+ years of experience working with Informatica
Knowledge of Informatica IDMC and PowerCenter is a must
Knowledge of big data technologies such as Apache Spark, Hadoop, or equivalent cloud-based services
Strong understanding of data governance, security, and quality practices in cloud environments