Description

You will build and maintain data infrastructure to support analytical and business needs.

Responsibilities

• Develop and maintain ETL/ELT pipelines.
• Optimize data lakes, warehouses, and databases.
• Collaborate with data scientists and analysts to support business needs.
• Ensure data quality, governance, and security across data assets.
• Implement real-time data streaming solutions and optimize infrastructure performance.

Required Skills

• 15+ years of professional experience in Data Engineering.
• Proficiency in SQL, Python, or Scala.
• Experience with ETL tools including Airflow, DBT, Informatica, or Talend.
• Cloud expertise in AWS, Azure, or GCP.
• Experience with Big Data tools like Spark, Hadoop, or Kafka.
• Knowledge of data warehousing solutions such as Snowflake, Redshift, or BigQuery.
• Familiarity with APIs and microservices architecture.
• Strong understanding of database systems (OLTP, OLAP).

Key Skills

Education

Any Gradute