Data Engineering Lead (Snowflake/Databricks)
About the job Data Engineering Lead (Snowflake/Databricks)
Job Expectations:
- Position Type: Experienced - Lead/Manager
- Employment Type: Full-Time; Permanent (Direct Hire)
- Work Setup & Location: Hybrid (2 days on-site) - Ortigas, Pasig
- Work Schedule: Mondays - Fridays; Day Shift
- Budget: Php 180,000 - Php 220,000
About the Job:
We are looking for a Data Engineering Lead (Senior Manager) to join our client's team. You will be responsible for designing, developing, and implementing scalable data infrastructure and solutions. Working closely with cross-functional teams, you will transform business requirements into innovative data-driven solutions. Additionally, you will oversee data security, governance, and compliance, while mentoring junior engineers and driving continuous improvement in processes and technologies. Ready to take your skills to the next level? Apply now!
Qualifications:
- Bachelor's Degree in Computer Science, Information Technology, or a related field.
- At least 5 years of extensive experience in data engineering, with a proven track record of leading complex data projects and teams.
- Advanced proficiency in programming languages such as Python, Java, or Scala, with expertise in software engineering best practices.
- Extensive experience with data warehouse technologies, particularly Snowflake and Databricks, including optimization and strategic roadmap development.
- Expertise in big data technologies like Hadoop, Spark, and Hive, with practical experience managing large-scale data environments.
- Hands-on experience with real-time data streaming and event-driven architectures, using tools like Apache Kafka.
- Strong understanding of data modeling, ETL processes, and data pipeline architecture, with a history of applying best practices.
- Proven problem-solving abilities and the capability to troubleshoot and resolve complex data issues.
- Can start immediately if possible.
Preferred Qualifications:
- Excellent communication and leadership skills, with a history of mentoring engineers and leading cross-functional teams.
- Ability to work independently while also leading collaborative efforts within a team environment.
- Experience driving the adoption of new tools and technologies and successfully integrating them into existing practices.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of data security and governance frameworks.
- Familiarity with agile methodologies in data engineering.
Scope & Responsibilities:
- Lead the design and implementation of scalable data pipelines, ensuring they meet performance, reliability, and security requirements.
Collaborate with cross-functional teams to convert business requirements into advanced data solutions and ensure their seamless integration across the platform.
- Optimize and manage data platforms such as Snowflake and Databricks, ensuring they meet scalability, performance, and cost-efficiency goals.
- Ensure data governance, security, and compliance standards are consistently met across all data engineering initiatives.
- Mentor and provide technical leadership to junior engineers, ensuring they are following best practices and continuously improving their skills.
- Lead efforts in troubleshooting and resolving complex data issues, providing strategic and efficient solutions.
- Guide the team through the adoption of new data engineering tools and technologies, integrating them into existing workflows to drive innovation and efficiency.
- Drive the integration of real-time data streaming and event-driven architectures using tools like Apache Kafka.
- Oversee data modeling, ETL processes, and data pipeline architecture, ensuring best practices are followed to achieve high-quality outcomes.
- Maintain open communication with stakeholders and cross-functional teams to ensure alignment with business goals and to address challenges in real-time.
Company Profile:
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