Skills

Full description

Design, develop, test, deploy and maintain large-scale data pipelines using ETL tools such as Informatica PowerCenter or similar technologies.
Collaborate with cross-functional teams to gather requirements for data warehousing solutions and implement scalable architectures on AWS/GCP/Azure Cloud platforms.
Develop complex SQL queries to optimize database performance and troubleshoot issues in production environments.
Lead junior engineers in design reviews, code reviews, and mentorship.

8-12 years of experience in Data Engineering with expertise in ETL development using PySpark/Pyspark SQL.
Strong understanding of big data processing technologies like Hadoop/Hive/Impala.
Proficiency in Python programming language with knowledge of AWS/GCP/Azure cloud platforms.
Experience working with BI tools like Power BI or Tableau for reporting purposes.

Design, develop, test, deploy and maintain large-scale data pipelines using ETL tools such as Informatica PowerCenter or similar technologies.
Collaborate with cross-functional teams to gather requirements for data warehousing solutions and implement scalable architectures on AWS/GCP/Azure Cloud platforms.
Develop complex SQL queries to optimize database performance and troubleshoot issues in production environments.
Lead junior engineers in design reviews, code reviews, and mentorship.

8-12 years of experience in Data Engineering with expertise in ETL development using PySpark/Pyspark SQL.
Strong understanding of big data processing technologies like Hadoop/Hive/Impala.
Proficiency in Python programming language with knowledge of AWS/GCP/Azure cloud platforms.
Experience working with BI tools like Power BI or Tableau for reporting purposes.