Data Architect and Engineer Leader

4 weeks ago


Mumbai, Maharashtra, India Quantiphi Full time

About the Role:

We are looking for a highly skilled Data Architect and Engineer Leader to join our team at Quantiphi. As a senior member of our data engineering team, you will be responsible for designing, implementing, and maintaining large-scale data systems and architectures.

Key Responsibilities:

  • Design and implement scalable data architectures on Google Cloud Platform (GCP) to meet business requirements.
  • Collaborate with cross-functional teams to understand business needs and develop data solutions.
  • Develop and maintain high-quality code using Python, Java, and other programming languages.
  • Ensure data security, privacy, and compliance with regulatory requirements.
  • Stay up-to-date with industry trends and emerging technologies to improve data engineering practices.

Requirements:

  • 8-15 years of experience in data architecture, engineering, and leadership roles.
  • Proven expertise in GCP data services, including BigQuery, Dataproc, Composer, Pub/Sub, Dataflow, GCS, and BigTable.
  • Strong understanding of relational database concepts and technologies, such as SQL, MySQL, PostgreSQL, or Oracle.
  • Experience with other cloud platforms and services, including AWS RDS and Azure SQL Database.
  • Hands-on experience with BigData/Hadoop distributions and ecosystems, such as Cloudera/Hortonworks, MapR, Azure HDInsight, and IBM Open Platform.
  • Familiarity with database performance tuning, optimization, and troubleshooting techniques.
  • Strong working experience with CI/CD pipelines using Cloud Build, Artifact Registry, and Terraform.
  • Good understanding of data governance solutioning using GCP governance tooling, such as Dataplex and Data Catalog.

Preferred Qualifications:

  • Experience with BigQuery or Presto.
  • Understanding and experience with NoSQL databases, such as HBase, MongoDB, and Cassandra.
  • Knowledge of cloud databases, such as Spanner, BigTable, and Cloud SQL.
  • Experience with GCP Data Engineering.


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