
Unlock Scalable Data Solutions
3 days ago
As a Data Engineer, you will play a pivotal role in designing and building scalable data pipelines and infrastructure that support real-time and batch data processing.
", "You will collaborate with cross-functional teams to deliver reliable, high-quality data systems that power analytics, insights, and data-driven decision-making. Your expertise will enable us to unlock new business opportunities, improve operational efficiency, and drive growth.
", "Key Responsibilities:", "- Design and develop robust data pipelines and ETL workflows.
- Build and manage scalable data architectures and cloud-based infrastructure.
- Ensure data accuracy, completeness, consistency, and governance.
- Collaborate with analytics and engineering teams to understand data needs.
- Optimize performance of data systems, queries, and storage solutions.
- Implement data quality monitoring and alerting systems.
- Create and maintain comprehensive documentation for data workflows and schemas.
- Proven experience as a Data Engineer or in a similar data infrastructure role.
- Strong programming skills in languages such as Python, Java, or Scala.
- Proficient in SQL and experienced with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases.
- Experience with data processing frameworks like Apache Spark,Hadoop, Kafka, or Flink.
- Hands-on experience with cloud platforms such as AWS, Google Cloud Platform, or Azure.
- Familiarity with modern data warehousing tools (e.g., Snowflake, Redshift, BigQuery).
- Experience with orchestration tools like Airflow, Luigi, or Prefect.
- Understanding of data security, privacy, and compliance practices (e.g., GDPR, HIPAA).
- Strong problem-solving skills and attention to detail.
- Bachelor's degree in Computer Science, Engineering, or a related field.
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