Job Title: Senior Data Engineer Experience: 10+ Years Employment Type: Contract Job Summary We are looking for a Senior Data Engineer with 10+ years of experience in designing, building, and maintaining scalable data platforms and pipelines. The ideal candidate should have expertise in big data technologies, cloud platforms, ETL processes, and data warehousing.
Required Skills
10+ years of experience in Data Engineering Strong proficiency in Python, SQL, and PySpark Hands-on experience with Spark, Hadoop, Kafka, and Airflow Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) Expertise in Snowflake, Redshift, BigQuery, or Azure Synapse Strong knowledge of ETL/ELT, data modeling, and data warehousing Experience with CI/CD, Git, and Agile methodologies Excellent analytical and problem-solving skills
Key Responsibilities
- Design, develop, and maintain scalable data pipelines.
- Build robust ETL/ELT solutions for enterprise data platforms.
- Optimize data processing and query performance.
- Develop and maintain cloud-based data solutions.
- Ensure data quality, security, and governance.
- Collaborate with cross-functional teams to deliver data-driven solutions.
- Troubleshoot production issues and implement performance improvements.
Preferred Qualifications
- Experience with Delta Lake, Databricks, or Apache Iceberg
- Knowledge of real-time data streaming and event-driven architectures
- Relevant cloud certifications (AWS, Azure, or Google Cloud Platform) are a plus.
For applications and inquiries, contact:[email protected]
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