Note: The job is a remote job and is open to candidates in USA. Aaratech Inc. is a technology-driven organization focused on delivering innovative solutions across cybersecurity, healthcare, and enterprise domains. The Senior Data Engineer will design and optimize enterprise-scale data solutions, build scalable cloud-based data pipelines, and support advanced analytics and business intelligence initiatives. The role also involves ensuring data quality and reliability, collaborating across teams, and mentoring junior engineers.
Responsibilities
- Design and maintain scalable ETL/ELT pipelines for enterprise data integration
- Build and optimize cloud-based data warehouses and data lakes
- Develop high-performance SQL queries and data transformation processes
- Ensure data quality, governance, security, and pipeline reliability
- Collaborate with Data Analysts, Business Analysts, Data Scientists, and application teams
- Mentor junior engineers and contribute to data architecture and best practices
Skills
- • Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field
- • 4+ years of experience in Data Engineering, Big Data, or Cloud Data Engineering
- • Strong experience with SQL, Python, and cloud-based data platforms
- • Experience with Azure Data Factory, Databricks, Snowflake, AWS Glue, or similar technologies
- • Excellent analytical, communication, and problem-solving skills
- • Experience with Microsoft Azure, AWS, or Google Cloud Platform
- • Knowledge of Apache Spark, Kafka, or Hadoop
- • Experience with Power BI or Tableau
- • Any certifications such as Microsoft Azure Data Engineer Associate, AWS Certified Data Engineer, Databricks, or Snowflake certifications are a plus
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