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Key job responsibilities- Recruit, onboard, and retain top talent.
- Oversee the design and implementation of scalable data pipelines.
- Manage multiple data engineering projects across DISCO Org.
- Define project timelines, milestones, and deliverables.
- Drive prioritization and trade-off decisions.
- Communicate project progress and risks to DISCO leadership.- Evaluate new technologies and tools for data infrastructure.
- Lead design and code reviews to maintain high quality standards.
- Monitor and optimize data infrastructure and pipelines for performance and reliability.- Influence decision-making through data-driven insights.
- Communicate effectively with senior leadership on strategy, progress, and challenges.
- Monitor and optimize the cost of data infrastructure and services.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of experience in data engineering, software engineering, or related roles.
- 3+ years of experience in leading and managing engineering teams.
- Strong proficiency in data engineering tools and technologies (e.g., SQL, ETL, data warehousing, distributed systems).
- Experience with cloud platforms (e.g., AWS, GCP, or Azure) for building scalable data solutions.
- Proficiency in programming languages such as Python, Java or Scala.
- Solid understanding of data architecture, data modeling, and designing large-scale data pipelines.
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data storage solutions (e.g., Redshift, Snowflake, S3).
- Ability to manage and prioritize multiple projects and deliver them on time.
- Strong communication skills and the ability to interact with senior leadership and cross-functional teams.
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