Specialist - Data Engineering

Job Title:  Big data Developer Work Location : Mississauga-Ontario-CA Job Summary Design develop and maintain data pipelines using PySpark for largescale data processing Perform data transformations aggregations and validations using Spark SQL Data Frames Write and optimize SQL queries for data extraction reconciliation and reporting Perform data quality checks profiling and consistency validations Support existing data pipelines by troubleshooting failures and performing root cause analysis Work closely with data engineers analysts QA and DevOps teams in Agile delivery models Optimize performance of Spark jobs for efficiency and scalability Maintain technical documentation workflows and runbooks Follow enterprise standards for coding deployment and change management26 years of experience in Big Data Data Engineering roles Strong Hands-on experience with PySpark Apache Spark Solid understanding of SQL and relational database concepts Experience working in Linux UNIX environments Understanding of ETL concepts and largescale data processing Strong analytical and debugging skills Experience supporting production data pipelines Exposure to Azure Databricks ADF Synapse or similar cloud data platforms Experience with Hadoop ecosystem Hive HDFS Knowledge of orchestration tools eg Airflow Python scripting beyond Spark use cases Familiarity with Agile DevOps delivery practices Domain exposure eg Banking BFSI Analytics is an advantage Strong problem-solving and ownership mindset Ability to work collaboratively in Cross functional teams Good communication and documentation skills Ability to adapt quickly in dynamic project environments

Mandatory Skills : Apache Spark, Big Data Hadoop Ecosystem