Lead Data Engineer –

We are seeking a highly skilled LeadData Engineer with strong expertise in PySpark SQL and Python Azure Data Factory Synapse Databricks and Fabric as well as a solid understanding of ETL and data warehousing end to end principles. The ideal candidate will have a proven track record of designing building and maintaining scalable data pipelines in a collaborative and fast-paced environment. Key Responsibilities Design and develop scalable data pipelines using PySpark to support analytics and reporting needs. Write efficient SQL and Python code to transform cleanse and optimize large datasets. Collaborate with machine learning engineers product managers and developers to understand data requirements and deliver solutions. Implement and maintain robust ETL processes to integrate structured and semi-structured data from various sources. Ensure data quality integrity and reliability across pipelines and systems. Participate in code reviews troubleshooting and performance tuning. Work independently and proactively to identify and resolve data-related issues. Contribute to Azure-based data solutions including ADF Synapse ADLS and other services. Support cloud migration initiatives and DevOps practices. Provide guidance on best practices and mentor junior team members when needed. Qualifications 8 yearsof overall experience working with cross-functional teams (machine learning engineers developers product managers analytics teams). 3 yearsof hands-on experience developing and managingdata pipelines using PySpark. 3 to 5 years of experience with Azure-native services including Azure Data Lake Storage (ADLS) Azure Data Factory (ADF) Databricks Azure Synapse Analytics / Azure SQL DB / Fabric. Strong programming skills in Python and SQL. Solid experience doing ETL processesanddata modeling / data warehousing end to end solutions. Self-driven resourceful and comfortable working in dynamic fast-paced environments. Advanced written and spoken English is a must have for this position (B2 C1 or C2 only). Strong communication skills is a must. Nice to have Databricks certification. Knowledge of DevOpsCI / CD pipelines andcloud migration best practices. Familiarity with Event HubIoT HubAzure Stream AnalyticsAzure Analysis Services andCosmos DB. Basic understanding of SAP HANA. Intermediate-level experience with Power BI. Additional Information Please note that we will not be moving forward with any applicants who do not meet the following mandatory requirements : 3 years of experience with PySpark / Python ETL and data warehousing processes Azure data factory Synapse Databricks Azure Data Lake Storage Fabric Azure SQL DB etc. Proven leadership experience in a current project or previous projects / work experiences. Advanced written and spoken English fluency is a MUST HAVE (from B2 level to C1 / C2) MUST BE located in Central or South america as this is a nearshore position (Please note that we are not able to consider candidates requiring relocation or those located offshore). More Details Contract type : Independent contractor (This contract does not include PTO tax deductions or insurance. It only covers the monthly payment based on hours worked). Location : The client is based in the United States; however the position is 100% remote for nearshore candidates located in Central or South America. Contract / project duration : Initially 6 months with extension possibility based on performance. Time zone and working hours : Full-time Monday to Friday (8 hours per day 40 hours per week) from 8 : 00 AM to 5 : 00 PM PST (U.S. time zone). Equipment : Contractors are required to use their own laptop / PC. Start date expectation : As soon as possible. Payment methods : International bank transfer PayPal Wise Payoneer etc. Bertoni Process Steps Requirements verification video interview. Partner / Client Process Steps CV review. 1 Technical video interview with our partner. 1 or 2 videointerviews with the end client. Why Join Us Be part of an innovative team shaping the future of technology. Work in a collaborative and inclusive environment. Opportunities for professional development and career growth. Remote Work: Yes Employment Type: Full-time Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Experience : years Vacancy : 1 #J-18808-Ljbffr