Description

Key Responsibilities

Lead the design and implementation of scalable data pipelines

Collaborate with data scientists, analysts, and other stakeholders to ensure data availability and quality

Architect and manage data storage solutions (e.g., databases, data lakes) that meet the needs of the organization

Ensure data governance, security, and compliance with industry standards

Install/update disaster recovery procedures

Mentor and guide junior data engineers, fostering a culture of learning and innovation

Stay updated on industry trends and technologies to continuously improve our data practices

Required Qualifications

Proficiency in Python and SQL

Experience with data warehousing solutions (e.g., Snowflake, Google Big Query) and data orchestration tools (e.g., Apache Airflow, Databricks Workflows, Dagster)

Strong understanding of SQL and NoSQL databases such as MySQL and MongoDB

Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services
 


 

Key Skills
Education

Any Gradute

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