Senior/ Lead Data Engineer

You will be responsible for leading the data engineering team and driving data architecture initiatives. Your primary focus will be on designing and developing end-to-end data solutions, data pipelines, and ETL processes using various data technologies such as Snowflake, Databricks, Apache Spark, Hadoop, Dbt, Fivetran, and Azure Data Factory. Your strong expertise in Python and SQL will be crucial for success in this role. Key Responsibilities: - Designing and developing end-to-end data solutions, data pipelines, and ETL processes - Ensuring data governance, data quality, and data security principles are adhered to - Leading projects and teams in an Agile environment - Engaging in pre-sales activities, scoping and estimating projects, and presenting solutions to clients - Managing complete project life cycle activities on development and maintenance projects - Collaborating with a globally distributed team - Building relationships with clients and engaging in practice development activities - Demonstrating technical leadership in delivering solutions within defined timeframes Qualifications Required: - Bachelor's or Master's degree in Computer Science, Information Systems, or a related field - 10+ years of experience in data engineering and data architecture - Strong knowledge of data technologies such as Snowflake, Databricks, Apache Spark, Hadoop, Dbt, Fivetran, and Azure Data Factory - Strong expertise in Python and SQL - Excellent problem-solving and analytical skills - Strong communication and leadership skills - Experience working in an Agile environment - Proven track record of technical leadership roles in managing complex consulting projects - Excellent written and oral communication skills, with the ability to communicate effectively with technical and non-technical staff - Openness to travel for project-related activities Note: Additional details about the company were not provided in the job description.,