Data Engineer

Senior Data Engineer

Experience Required: 10+ Years

We are looking for a highly experienced Senior Data Engineer to lead the design, development, and optimization of enterprise-scale data platforms and pipelines. The ideal candidate will have extensive experience in cloud-based data solutions, data warehousing, big data technologies, and data architecture.

• Design and implement scalable, high-performance data pipelines and ETL/ELT processes.
• Develop and maintain enterprise data lakes, data warehouses, and data marts.
• Lead data architecture initiatives and establish best practices for data engineering.
• Optimize data storage, processing, and retrieval for large-scale datasets.
• Collaborate with Data Scientists, Business Analysts, and stakeholders to deliver data solutions.
• Ensure data quality, governance, security, and compliance standards are met.
• Mentor junior engineers and provide technical leadership to the data engineering team.
• Drive cloud migration and modernization initiatives.

• 10+ years of experience in Data Engineering or related roles.
• Strong expertise in Python, SQL, and PySpark.
• Hands-on experience with Apache Spark, Kafka, and data streaming technologies.
• Experience with cloud platforms: AWS, Azure, or Google Cloud Platform.
• Strong knowledge of data warehousing solutions such as Snowflake, Redshift, or BigQuery.
• Experience with ETL/ELT tools such as Airflow, Informatica, or dbt.
• Deep understanding of data modeling, performance tuning, and data governance.
• Experience with CI/CD, DevOps practices, and Infrastructure as Code (Terraform).

• Bachelor''''s or Master''''s degree in Computer Science, Engineering, or related field.
• Cloud certifications (AWS, Azure, or Google Cloud Platform) preferred.
• Experience leading data engineering teams and large-scale data projects.