Description

You will build, maintain, and optimize data infrastructure to support analytics and reporting.

Responsibilities

• Design, develop, and optimize ETL pipelines for efficient data flow.
• Architect and maintain data warehouse solutions to meet analytical needs.
• Implement data quality checks and cleaning processes to ensure accuracy and consistency.
• Optimize data infrastructure and performance for improved processing and querying.
• Document data architecture, pipelines, and workflows for internal use.

Required Skills

• 10+ years of experience in data engineering or data warehousing.
• Expertise in Data Modeling and Data Warehousing.
• Proficiency in ETL processes and big data technologies.
• Hands-on experience with Cloud platforms including AWS, Azure, or GCP.
• Strong programming skills in Python, Java, or Scala.
• Proficiency in SQL and database management systems like PostgreSQL, MySQL, or Redshift.
• Experience with ETL tools such as Apache Airflow or Talend.
• Experience with big data technologies like Hadoop or Spark.
• Degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Familiarity with data visualization tools like Tableau or Power BI.
• Knowledge of NoSQL databases such as MongoDB or Cassandra.

Key Skills

Education

Any Graduate