Senior Data engineer JD Experience: 5 to 8 years Responsibilities: Works closely with the business owner / Product owner / Cross functional Team and gathering technical requirements Experience in building and maintaining reliable and scalable ETL pipeline on big data & / or Cloud platform through the collection, storage, processing, and transformation of large datasets Collaborate with other teams to design, develop and deploy data tools that support both operations and product use cases Work with the team in solving problems in big data technologies and prototype solutions to improve our data processing architecture Must Have: Ensuring proper execution of tasks and alignment with business vision and objectives Oversee activities of the junior data engineering teams Works closely with the business owner / Product owner / Cross functional Team and gathering technical requirements Experience in building and maintaining reliable and scalable ETL pipeline on big data/Cloud platform through the collection, storage, processing, and transformation of large data-sets Experience working with varied forms of data infrastructure inclusive of relational databases such as SQL, Hadoop, Spark Proficiency in scripting languages in PySpark, python Experience in AWS cloud & DevOps Experience in Databricks Experience in Database design/data modelling Must have strong experience in data warehouse concepts, understanding Data Lake, Lake House Concepts, any new Big Data eco system. Experience in testing and validation in order to support the accuracy of data transformations and data verification Should be able to independently drive the requirements, have solutioning mindset facing business stakeholders Soft Skills: Excellent Verbal and Communication skills needed. Should be a excellent team player. Good knowledge on Agile principles and experience working in scrum teams using Jira Should be comfortable to mentor junior engineers in the team (For Senior Data Engineers) Should be able to operate in an ambiguous environment with minimal guidance.Long Description-SQL + Hadoop + SPARK + Dev Ops + PySpark + Python