Sr Lead Data Platform Engineer, Shopping (Remote-Eligible)

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Job Overview

The Sr Lead Data Platform Engineer at ClickJobs.io will play a pivotal role in driving the engineering efforts behind our shopping data platforms. The individual will be responsible for designing, enhancing, and optimizing data infrastructure that supports a seamless and efficient shopping experience. This role entails leading a team of data engineers while collaborating with cross-functional teams to ensure data solutions align with business objectives and deliver actionable insights. The ideal candidate will embrace innovative methodologies, leverage emerging technologies, and contribute to making data-driven decisions that positively impact our users.

Job Responsibilities

• Design and implement scalable data architecture and pipelines to support data analytics and business intelligence efforts.
• Lead and mentor a team of data engineers, promoting best practices and fostering an environment of continuous improvement.
• Collaborate with product teams to understand data needs and deliver high-quality solutions tailored to business requirements.
• Manage data integration processes from various sources, ensuring data quality, accuracy, and security.
• Innovate on data management strategies to enhance performance and reliability across the data ecosystem.
• Evaluate and implement new data technologies, frameworks, and tools to improve overall system efficiency.
• Actively participate in architectural discussions and play a key role in defining the technical direction of the data platform.

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, platform engineering, or a related role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Extensive experience with data processing frameworks like Apache Spark, Hadoop, or similar technologies.
• Strong knowledge of relational and non-relational databases, including SQL and NoSQL systems.
• Experience with AWS, Azure, or Google Cloud Platform and familiarity with cloud-based data storage and processing solutions.
• Excellent analytical, problem-solving, and organizational skills, with a keen attention to detail.

Technologies & Tools

The successful candidate will work with a variety of technologies and tools, including but not limited to Apache Hadoop, Apache Spark, AWS services (such as S3, Redshift, Lambda), SQL databases (like MySQL, PostgreSQL), and NoSQL databases (like MongoDB, Cassandra). Familiarity with data visualization tools and ETL processes will also be beneficial in this role.

Ideal Candidates

The ideal candidate for this position will possess strong leadership capabilities, demonstrating effective team management while cultivating a culture of collaboration and innovation. They will have a passion for data and analytics, coupled with a strategic mindset to influence business decisions. Furthermore, a commitment to continuous learning and adaptability to emerging technologies is crucial. The candidate should exhibit excellent communication skills, enabling them to easily convey complex technical concepts to non-technical stakeholders, ensuring clarity and effective collaboration across the organization.