Location: In Office
Responsibilities:
Design, build, and manage data pipelines and architectures for large-scale data processing. Collaborate with teams to ensure efficient data flows and implement solutions for optimizing data storage and retrieval.
Requirements:
Proficiency in SQL, Python, and experience with ETL processes, data warehousing, and big data technologies such as Hadoop or Spark.