Remote Work - Need Lead Data Engineer

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Written by AI from the job title and company, not by Steneral Consulting, so some details may not match this job. The employer's own page has the real description.

Job Overview

Steneral Consulting is seeking a highly skilled Lead Data Engineer to join our dynamic remote team. In this pivotal role, you will be responsible for designing, developing, and managing robust data pipelines and architectures that support our data-centric initiatives. As a Lead Data Engineer, you will work closely with cross-functional teams to ensure the efficient processing of data that drives strategic decision-making across the organization. Your technical expertise and leadership abilities will be crucial in mentoring junior data engineers and enhancing our data engineering practices.

Job Responsibilities

• Architect, design, and implement scalable data pipelines and data warehouses.
• Collaborate with data scientists and analysts to understand and fulfill their data needs.
• Ensure data quality and integrity through thorough testing and validation processes.
• Lead efforts in moving data from various sources into data lakes and warehouses.
• Mentor junior data engineering staff and foster a culture of knowledge sharing.
• Optimize existing data processes, ensuring scalable and efficient data flow.
• Stay updated on industry trends and emerging technologies to enhance data engineering capabilities.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; master’s degree preferred.
• 5+ years of experience in data engineering or a related field.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data warehousing solutions like Snowflake, BigQuery, or Redshift.
• Strong knowledge of ETL tools and frameworks, such as Apache Airflow or Talend.
• Expertise in SQL and other query languages for data manipulation and analysis.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and data services.

Technologies & Tools

The Lead Data Engineer will leverage a range of technologies and tools to perform their duties effectively, including but not limited to Apache Spark for big data processing, SQL databases for structured data storage, and NoSQL databases like MongoDB for unstructured data. Familiarity with version control systems (e.g., Git) and CI/CD tools will also be beneficial for maintaining development workflows.

Ideal Candidates

Ideal candidates for the Lead Data Engineer position at Steneral Consulting will possess a proactive mindset and a strong analytical approach to problem-solving. They should be excellent communicators, able to convey complex technical concepts to non-technical team members. A collaborative attitude, along with a passion for data and technology, will enhance their ability to lead projects and inspire those around them. The ideal candidate will also demonstrate a commitment to continuous improvement and innovation in data engineering practices.