Job Title: Lead Big Data Engineer - Remote
Job Overview
Join our innovative team at the forefront of big data technology! We are seeking a skilled Lead Big Data Engineer to spearhead our engineering initiatives, guiding a dedicated team in the development and maintenance of our advanced big data infrastructure. Your expertise will help us turn complex data into actionable insights, driving our data-centric organization forward.
Key Responsibilities
- Provide technical leadership and mentorship to a team of big data engineers, sharing insights on best practices and cutting-edge technologies.
- Design and architect resilient big data systems, including data lakes, warehouses, and streaming platforms, ensuring scalability and dependability.
- Develop efficient data pipelines capable of processing substantial volumes of both structured and unstructured data, prioritizing reliability and performance.
- Create and implement data models and schemas to support analytical and operational requirements, ensuring high data integrity.
- Integrate diverse data sources seamlessly while maintaining exceptional data quality throughout the data lifecycle.
- Identify and rectify performance bottlenecks to enhance the efficiency of data pipelines and queries.
- Establish monitoring systems to oversee platform health and proactively address any issues.
- Enforce robust security measures and data governance protocols to uphold data privacy and compliance standards.
- Document best practices in big data engineering, promoting clear communication and collaboration.
- Collaborate closely with data scientists, software engineers, and business stakeholders to deliver impactful data solutions.
- Mentor junior engineers, fostering their professional growth and development.
Required Skills
- Strong proficiency in programming languages such as Java, Scala, or Python, along with experience in big data technologies like Hadoop, Spark, Kafka, Hive, and HBase.
- In-depth understanding of distributed systems and parallel processing, with a proven track record of optimizing data pipelines.
- Familiarity with major cloud platforms including AWS, Azure, or Google Cloud Platform and their respective big data services.
- Experience with SQL and NoSQL databases, as well as knowledge of data warehousing and ETL/ELT processes.
- Exceptional analytical and problem-solving abilities, capable of addressing intricate data challenges.
- Excellent communication skills, facilitating effective collaboration with cross-functional teams.
Qualifications
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field.
- Minimum of 7 years of experience in big data engineering, demonstrating a successful history in constructing and managing big data systems.
- Proven leadership capabilities with experience in mentoring and guiding engineering teams.
Career Growth Opportunities
We are committed to your professional advancement, offering opportunities for training, attendance at conferences, and workshops to help you elevate your career in the evolving field of big data.
Company Culture And Values
Join a company that champions innovation, inclusivity, and collaboration. We foster a vibrant work environment where diverse perspectives are valued, and every team member is encouraged to contribute to our mission.
Networking And Professional Opportunities
As part of our esteemed organization, you will have the chance to connect with industry leaders, participate in networking events, and collaborate on projects that enhance your skills and broaden your professional network.
Compensation And Benefits
- Competitive salary ranging from \(200,000 to \)300,000 annually, commensurate with experience and qualifications.
- Comprehensive health coverage, including health, dental, and vision insurance.
- Flexible working hours and remote work opportunities.
- Generous vacation and paid time off policies.
- Access to cutting-edge technology and resources in a dynamic and inclusive culture.
- Engage in impactful projects that contribute to real-world data innovation.
Employment Type: Full-Time