Job Description
Key Responsibilities:Design, develop, and maintain scalable data pipelines and ETL processes.Work with stakeholders to understand business requirements and translate them into technical solutions.Optimize data storage, processing, and retrieval across large datasets.Ensure data quality, integrity, and governance across multiple platforms.Collaborate with BI and analytics teams to support reporting and dashboard development.Stay updated with emerging tools and best practices in data engineering and analytics. Required Skills:3+ years of proven experience as a Data Engineer or similar role.Strong hands-on expertise in SQL for querying, performance tuning, and optimization.Advanced experience with Snowflake for data warehousing and cloud-based solutions.Proficiency in Python for automation, data processing, and pipeline development.Strong knowledge of Tableau for data visualization and supporting analytics teams.Experience with ETL tools, data modeling, and pipeline orchestration.Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
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