Data Engineer Senior , HCLTech www.hcltech.com São Paulo, São Paulo (Remoto) / Tempo integral We are looking for a highly talented and self-motivated Data Engineer Senior to join us on our journey to advance the technology world through innovation and creativity. Essential Duties and Responsibilities Drive requirements, scope, and technical design of the integration workflows, to make sure the build is conducted accurately and according to spec. Develop and maintain requirements, design documentation and test plans. Seek out, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. Coordinate with BI Engineers, Financial Applications and Oracle HR teams around data management including schemas, failure conditions, reconciliation, test data set up, etc. Build the infrastructure required for optimal ETL/ELT pipelines to ingest data from a wide variety of data sources using Microsoft Azure technologies such as Azure Data Factory and Databricks. Construct and maintain of enterprise level integrations using the Snowflake platform, Azure Synapse, Azure SQL and SQL Server. Create data tools for data analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader. Design analytics tools that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Troubleshoot issues helping to drive root-cause analysis, and work with infrastructure teams to resolve incidents and arrive to a permanent resolution. Partner with data and analytics teams to strive for greater functionality in our data systems. Provide direction and coordination for development, and support teams, including globally located resources. Understand the layout and working of existing integrations that send and receive data between Oracle, Concur, JDE, Corporate Data Platform and other systems. Required : A relevant technical BS Degree in Information Technology English Advanced or Fluent Experience in writing SQL queries against any RDBMS with query optimization. Experience in of data engineering experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Apache Spark, Scala, Synapse, SQL Server Experience with scripting tools such as Power Shell, Python, Scala, Java and XML Understanding the pros and cons, and best practices of implementing Data Lake, using Microsoft Azure Data Lake Storage Experience structuring Data Lake for the reliability, security and performance. Experience implementing ETL for Data Warehouse and Business intelligence solutions. Skills to read and write effective, modular, dynamic, parameterized and robust code, establish and follow already established code standards, and ETL framework. Strong analytical, problem solving, and troubleshooting abilities. Good understanding of unit testing, software change management, and software release management Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as Code fundamentals Experience performing root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement. Experience working within an agile team. Excellent communication skills Equality & Opportunity for All Representing 165 nationalities worldwide, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, or any other protected classification under federal, state and/or local laws.
