Senior Enterprise Data Governance Specialist

3 days ago

Kannur, Kerala, India beBeeDataGovernance Full time ₹ 18,00,000 - ₹ 22,00,000

Data Governance Role Overview

We are seeking a skilled Enterprise Data Architect to design, build and maintain data systems.

The successful candidate will be responsible for ensuring highest standards of data quality and performance.

  • Main Responsibilities:
  • Design scalable data pipelines for data ingestion, processing and storage.
  • Build and optimize data architectures and data models for efficient data storage and retrieval.
  • Develop ETL processes to transform and load data from various sources into data warehouses and data lakes.
  • Ensure data integrity, quality and security across all data systems.
  • Collaborate with data scientists, analysts and other stakeholders to understand data requirements and deliver solutions that meet business needs.
  • Monitor and troubleshoot data pipelines and workflows to ensure high availability and performance.
  • Document data processes, architectures and data flow diagrams.
  • Implement and maintain data integration solutions using industry-standard tools and technologies (e.g., Apache Spark, Kafka, Airflow).

Essential Skills:

  • Expertise on Data Integration, processing & Storage.
  • Knowledge of Data optimization architecture, data process and data flow.
  • Proficiency in SQL and at least one programming language (e.g., Python, Scala).
  • Experience with cloud data platforms (e.g., AWS, Azure, GCP) and their data services.
  • Experience with data visualization tools (e.g., Tableau, Power BI).

Preferred Skills:

  • Strong knowledge of data management, processing, Architecture and design.
  • Sound knowledge of data integration tools like Apache Spark, Kafka & Airflow.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of a team.

Requirements:

  • Bachelor's degree in computer science, Information Technology or a related field.
  • Minimum 4 years of experience in data engineering & architecture.

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