
Data Engineering Expert
6 days ago
Job Description
">We are seeking a highly skilled Senior Data Engineer to join our team and contribute to building and maintaining client data infrastructure. The ideal candidate will design, develop, and deploy data pipelines, transform and enrich data, and ensure the quality and accessibility of data for stakeholders across the organization.
Key Responsibilities:- Data Pipeline Development: Design, develop, and implement scalable and efficient data pipelines using Apache Spark, Kafka, and AWS Kinesis for real-time and batch data processing.
- Data Optimization: Own the optimization and performance of data pipelines, ensuring timely delivery of data for critical business needs.
- Data Modeling: Build and maintain data models in data warehouse systems like Snowflake, or AWS Redshift, with a focus on data quality and consistency.
- Data Transformation: Develop and implement data cleansing and transformation routines to transform raw data into actionable insights.
- Collaboration: Collaborate with data scientists, analysts, and business users to understand data requirements and translate them into technical solutions.
- Experience: At least 5+ years of experience as a data engineer or related role.
- Data Management: Knowledge of data modeling techniques, data quality practices, and data governance principles.
- Communication: Excellent written and verbal communication skills, ability to collaborate effectively with stakeholders across technical and non-technical teams.
- Problem-solving: Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
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