Sr. Associate - Data Engineer

COMPANY OVERVIEW Revantage is a global corporate services leader proudly serving Blackstone portfolio companies and investments. At Revantage, providing best in class capabilities is at the forefront of our global reach and this enables our partners and partners and portfolio companies to thrive by anticipating their needs. To help us to continue to build these best-in-class capabilities, we are looking for an experienced Data Engineer. JOB SUMMARY The primary responsibility of the Data Engineer is to design, develop, implement, and support core systems that enable the acquisition, curation, modeling, and consumption of data for data integration, analytics, and data science. This ensures seamless flow, availability, and reliability of data across systems. This role requires a passionate, committed, and organized individual who is a fast learner, adaptable, and open to new approaches in technology solutions. ESSENTIAL JOB FUNCTIONS The primary responsibilities of this position are: ·       Development of high-quality code for the core data stack including data integration, data warehousing, data analytics and reporting. ·       Design and implement data models and architectures to support analytics and reporting needs. ·       Develop and optimize robust Extract, Transform, Load (ETL) processes for the efficient acquisition, transformation, and integration of data from various sources. ·       Build data pipelines using both batch and streaming paradigms ·       Implement data quality and governance processes to ensure accuracy, consistency, and security. ·       Work closely with teams and stakeholders to understand requirements and deliver solutions. ·       Ensure code, configuration and other technology artifacts are delivered in a timely manner. ·       Monitor and troubleshoot data workflows to ensure optimal performance and reliability. ·       Maintain comprehensive documentation of data processes, architectures, and workflows. TECHNICAL SKILLS AND EXPERIENCE Most important: ·       7+ years professional experience as a data engineer, with at least 4 utilizing cloud technologies. ·       Proven experience working with Databricks either in Azure or AWS. ·       Strong experience with the Microsoft Azure Data Stack (Databricks, Data Lake Gen2, ADF etc. ·       Expertise building ETL and data pipelines on Databricks using data engineering languages Python and SQL on Azure. ·       Strong SQL skills and proficiency in programming languages such as Python, Scala, Java. ·       Familiarity with big data technologies such as Hadoop, Spark, or Kafka. ·       Proven experience with unit testing and applying appropriate testing methodologies. ·       Demonstrable experience with CICD, including release and test automation tools and processes. ·       Strong understanding of data modeling, data warehousing, and OLAP concepts. ·       Experience with data visualization tools such as Tableau, Power BI, or Looker is a plus.