Sr Big Data Developer

Role: Big data engineerLocation – remote in Mexico 4+ years of experience in working with Scala, Python, SQL, PySpark and bash scripts. Proficient in Spark development lifecycle and data engineering practices. 3+ years of experience in developing and maintaining robust data pipelines for both structured and unstructured data. 3+ years of hands-on experience in operationalizing solutions which are used in live production processes and ability to debug and troubleshoot failures. 3+ years of experience working with Cloud Data Warehousing (Azure Datawarehouse, AzSQL, Azure CosmosDB, Databricks SQL or equivalent) platforms and experience in working with distributed Spark computes. 2+ years of hands-on experience in using Azure Synape Spark Compute, Azure Data Factory orchestrations for Data Engineering Workflow.Must have hands-on experience in Scala Development on IntelliJ Idea IDE. Solid understanding of Data engineering lifecycle and ETL techniques. Hands on experience in developing and maintaining 3NF operational and Kimball's Dimensional Modeled Marts. Proficient in understanding and incorporating data engineering principles in design & development process. Hands on experience with Azure DEvOps version control. Excellent communication skills and ability to work and collaborate with cross functional teams across technology and business. :

Key Skills

• SQL
• Azure