Lead Engineer (Data Engineer)

ob description - Design, develop, and maintain robust and scalable data pipelines that ingest, transform, and load data from various sources into data warehouse. - Collaborate with business stakeholders to understand data requirements and translate them into technical solutions. - Implement data quality checks and monitoring to ensure data accuracy and integrity. - Optimize data pipelines for performance and efficiency. - Troubleshoot and resolve data pipeline issues. - Stay up-to-date with emerging technologies and trends in data engineering. Qualifications - Bachelor s or Master s degree in Computer Science, Engineering, or a related field. - 7+ years of experience in data engineering or a similar role. - Strong proficiency in SQL and at least one programming language (e.g., Python, Java). - Experience with data pipeline tools and frameworks - Experience with cloud-based data warehousing solutions (Snowflake). - Experience with AWS Kinesis, SNS, SQS - Excellent problem-solving and analytical skills. - Strong communication and interpersonal skills. Desired Skills & Experience: - Data pipeline architecture - Data warehousing - ETL (Extract, Transform, Load) - Data modeling - SQL - Python or Java or Go - Cloud computing - Business intelligence Skills: Sql, Cloud Computing, Java, Business Intelligence, Python Experience: 7.00-10.00 Years