Job D5375 Description Click to apply: Please attach resume to mail | |
SOFT's client located in Remotely is looking for a Senior Databricks AWS Data Engineer for a long term contract assignment. Qualifications: • Demonstrates mutual respect, embraces diversity, and acts with authenticity • Bachelor’s degree in Computer Science, Management Information Systems, Computer Engineering, or related field or equivalent work experience; advance degree preferred • Seven or more years of experience in designing and building large-scale solutions in an enterprise setting in both • Three years in designing and building solutions in the cloud • Expertise in building and managing Cloud databases such as AWS RDS, DynamoDB, DocumentDB or analogous architectures • Expertise in building Cloud Database Management Systems in Databricks Lakehouse or analogous architectures • Expertise in Cloud Data Warehouses in Redshift, BigQuery or analogous architectures a plus • Deep SQL expertise, data modeling, and experience with data governance in relational databases • Experience with the practical application of data warehousing concepts, methodologies, and frameworks using traditional (Vertica, Teradata, etc.) and current (SparkSQL, Hadoop, Kafka) distributed technologies • Refined skills using one or more scripting languages (e.g., Python, bash, etc.) • Experience using ETL/ELT tools and technologies such as Talend, Informatica a plus • Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind • Expertise in relational and dimensional data modeling • UNIX admin and general server administration experience required • Presto, Hive, SparkSQL, Cassandra, or Solr other Big Data query and transformation experience a plus • Experience using Spark, Kafka, Hadoop, or similar distributed data technologies a plus • Able to expertly express the benefits and constraints of technology solutions to technology partners, business partners, and team members • Experience with leveraging CI/CD pipelines • Experience with Agile methodologies and able to work in an Agile manner is preferred • One or more cloud certifications Responsibilities: • Understand technology vision and strategic direction of business needs • Understand our current data model and infrastructure, proactively identify gaps, areas for improvement, and prescribe architectural recommendations with a focus on performance and accessibility. • Partner across engineering teams to design, build, and support the next generation of our analytics systems. • Partner with business and analytics teams to understand specific requirements for data systems to support both development and deployment of data workloads ranging from Tableau reports to ad hoc analyses. • Own and develop architecture supporting the translation of analytical questions into effective reports that drive business action. • Automate and optimize existing data processing workloads by recognizing patterns of data and technology usage and implementing solutions. • Solid grasp of the intersection between analytics and engineering while maintaining a proactive approach to assure solutions demonstrate high levels of performance, privacy, security, scalability, and reliability upon deployment. • Provide guidance to partners on effective use of the database management systems (DBMS) platform through collaboration, documentation, and associated standard methodologies. • Design and build end to end automation to support and maintain software currency • Create automation services for builds using Terraform, Python, and OS shell scripts. • Develop validation and certification process through automation tools • Design integrated solutions in alignment with design patterns, blueprints, guidelines, and standard methodologies for products • Participate in developing solutions by incorporating cloud native and 3rd party vendor products • Participate in research and perform POCs (proofs of concept) with emerging technologies and adopt industry best practices in the data space for advancing the cloud data platform. • Develop data streaming, migration and replication solutions • Demonstrate leadership, collaboration, exceptional communication, negotiation, strategic and influencing skills to gain consensus and produce the best solutions. |