Sr Data Engineer - (DataBricks, Spark & Python)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, XFORIA Inc, is seeking the following. Apply via Dice today!Job DetailsSr Data EngineerFulltime / Direct HireGlendale, CA (Hybrid)Databricks, Spark, and Python Spotlight call will be held for this roleKey Responsibilities:Data Engineer, you will play a pivotal role in the transformation of data into actionable insights. Collaborate with our dynamic team of technologists to develop cutting-edge data solutions that drive innovation and fuel business growth. Your responsibilities will include managing complex data structures and delivering scalable and efficient data solutions. Your expertise in data engineering will be crucial in optimizing our data-driven decision-making processes. If you''re passionate about leveraging data to make a tangible impact, we welcome you to join us in shaping the future of our organization.Key Responsibilities:Contribute to maintaining, updating, and expanding existing Core Data platform data pipelinesBuild tools and services to support data discovery, lineage, governance, and privacyCollaborate with other software/data engineers and cross-functional teamsTech stack includes Airflow, Spark, Databricks, Delta Lake, Kubernetes and AWSCollaborate with product managers, architects, and other engineers to drive the success of the Core Data platformContribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and moreEnsure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our teamEngage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvementsMaintain detailed documentation of your work and changes to support data quality and data governance requirementsQualifications:3+ years of data engineering experience developing large data pipelinesProficiency in at least one major programming language (e.g. Python,Java, Scala)Strong SQL skills and ability to create queries to analyze complex datasetsHands-on production environment experience with distributed processing systems such as SparkHands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelinesExperience with DatabricksExperience with Snowflake a plusDeep Understanding of AWS or other cloud providers as well as infrastructure as code Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practicesStrong algorithmic problem-solving expertiseExcellent written and verbal communicationAdvance understanding of OLTP vs OLAP environmentsWillingness and ability to learn and pick up new skill setsSelf-starting problem solver with an eye for detail and excellent analytical and communication skillsStrong background in at least one of the following: distributed data processing or software engineering of data services, or data modelingFamiliar with Scrum and Agile methodologiesBachelor’s Degree in Computer Science, Information Systems equivalent industry experience