Data Engineering Innovator
2 days ago
ZipRecruiter is seeking a highly skilled Data Engineer to join our team. This role involves designing and implementing scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka.
Job Responsibilities:- Design and Build Scalable Data Pipelines: Create robust and efficient data workflows that handle high-volume and high-velocity data. Utilize tools like Apache Airflow or AWS Glue to automate data processing and reduce manual effort.
- Optimize Big Data Storage and Processing: Develop and manage data storage solutions that are optimized for performance and cost-efficiency. Configure distributed processing systems to support efficient data retrieval and transformation.
- Collaborate on Data Strategy and Integration: Work closely with data scientists, analysts, and other engineers to align big data architecture with analytics goals. Ensure data availability and integrity across systems to support business objectives.
- Implement Data Quality and Governance Standards: Develop processes and tools to monitor data quality and enforce data governance policies. Ensure data accuracy, reliability, and security through regular checks and validation processes.
- Big Data Platform Proficiency: Extensive experience with big data technologies such as Apache Spark, Hadoop, Kafka, and Hive. Strong understanding of distributed systems and large-scale data storage management.
- Data Pipeline and ETL Knowledge: Proven ability to design, build, and maintain ETL processes for massive datasets. Skilled at handling both real-time and batch data processing requirements.
- Programming and Scripting: Proficiency in programming languages such as Python, Java, or Scala for data processing and automation. Experience with SQL for data querying and manipulation is essential.
- Cloud Data Services Expertise: Familiarity with cloud platforms such as AWS, GCP, or Azure, including their big data and storage services.
- Competitive Salary: We offer a competitive salary range of $140,000 - $200,000 per year, depending on experience.
- Benefits Package: Comprehensive medical, dental, and vision insurance plans, paid time off, and flexible work schedules.
- Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
We are an equal opportunities employer and welcome applications from diverse candidates. Apply now and take the first step towards a rewarding career in data engineering
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