Key Responsibilities:

Lead the design and implementation of our data platform infrastructure, including data warehouse, data lakes, and data pipelines.
Collaborate with cross-functional teams to identify data requirements and design scalable solutions.
Develop and maintain data governance policies and procedures to ensure data integrity and security.
Evaluate and implement new technologies to improve the performance and efficiency of our data platform.
Mentor and guide junior data engineers in developing best practices for data management and engineering.
Troubleshoot and resolve any data platform related issues in a timely manner.
Communicate and present data platform updates and progress to stakeholders and senior management.
Stay updated on the latest industry trends and advancements in data management and technology.

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Minimum of 5 years of experience in data engineering, with at least 2 years in a lead or senior role.
Strong knowledge of data warehousing concepts, data modeling, and ETL/ELT processes.
Experience with cloud technologies, preferably AWS, and related services such as Redshift, S3, and Data Lakes.
Proficient in programming languages such as Python, SQL, and Java.
Proven experience in designing and implementing data pipelines using tools such as Airflow, Spark, or Kafka.
Experience with data quality and governance tools is a plus.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills.
Ability to work in a fast-paced and dynamic environment.

We offer a competitive salary package, comprehensive benefits, and a collaborative and inclusive work culture. Apply now to be our Lead Data Platform Engineer and make an impact in the world of data management.

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