About Greystar:As the Global Leader in Rental Housing, Greystar provides end-to-end property management services for residential housing, apartment homes, furnished corporate housing, and mixed-use properties incorporating retail space.
About the role:We are seeking a Senior Data Engineer skilled in Databricks, Python, Scala, Azure Synapse and Azure Data Factory to join our team of data engineers within Greystar Information Technology. This team serves Greystar by ingesting data from multiple sources, making it available to internal stakeholders, and by interfacing with and exchanging data between a variety of internal and external systems. You will be responsible for building and enhancing our Enterprise Data Platform (EDP) which is built within the Azure cloud and utilizes modern processes and technologies such as Databricks, Synapse, Azure Data Factory (ADF), ADLS Gen2 Data Lake, Azure DevOps and CI/CD pipelines. You will develop, deploy and troubleshoot complex data ingestion pipelines and processes. Your curious mind and attention to detail will be an asset, as will your extensive knowledge and experience in the data engineering space.
JOB DESCRIPTION
How you will make in impact:
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goalsCollaborate with data engineers, data consumers, and other team members to come up with simple, functional, and elegant solutions that balance the data needs across the organizationSolve complex data problems to deliver insights that helps the organization achieve its goalsCreate data products that will be used throughout the organizationAdvise, consult, mentor and coach other data and analytic professionals on data standards and practicesFoster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytic solutionsDevelop and deliver documentation on data engineering capabilities, standards, and processes; participate in coaching, mentoring, design reviews and code reviewsPartner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.Deliver awesome codeTechnical Qualifications:
7+ years relevant and progressive data engineering experienceDeep Technical knowledge and experience in Databricks, Python, Scala, Microsoft Azure architecture and platform including Synapse, ADF (Azure Data Factory) pipelines and Synapse stored proceduresHands-on experience working with data pipelines using a variety of source and target locations (e.g., Databricks, Synapse, SQL Server, Data Lake, file-based, SQL and No-SQL database)Experience in engineering practices such as development, code refactoring, and leveraging design patterns, CI/CD, and building highly scalable data applications and processesExperience developing batch ETL pipelines; real-time pipelines are a plusKnowledge of advanced data engineering concepts such as dimensional modeling, ETL, data governance, data warehousing involving structured and unstructured dataThorough knowledge of Synapse and SQL Server including T-SQL and stored proceduresExperience working with and supporting cross-functional teams in a dynamic environmentA successful history of manipulating, processing and extracting value from large disconnected datasets.Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.Knowledge and understanding of Boomi is a plusAdditional Qualifications and Experience:
Excellent problem-solving skills and experienceEffective communication skillsStrong collaboration skills"Self-starter" attitude and the ability to make decisions with minimal guidance from othersInnovative and passionate about your work and the work of your teammatesAbility to comprehend and analyze operational systems and ask appropriate questions to determine how to improve, migrate or modify the solution to meet business needsExperience with data ingestion and engineering, specifically involving large data volumesKnowledge of CI/CD release pipelines is a plusUnderstanding of Python and knowledge of parallel processing frameworks like MapReduce, Spark, ScalaKnowledge of the Agile development processWorking Conditions:
RemoteOccasional time outside of core hours depending on priorities and deliverablesSome travel (with advance notice) may be required for training, team meetings or other eventsEducation:
Bachelor's degree in computer science, information technology, business management information systems, or equivalent experience.#LI-BB1
Compensation is based on geographic location and individual pay decisions will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
Corporate Positions: In addition to the base salary, may be eligible for an annual performance bonus that is based on individual and company performance.
Onsite Property Positions: In addition to the base salary, may be eligible for a discretionary weekly, monthly and/or quarterly bonus based on budget.
Greystar seeks to attract, recruit, advance and retain top talent. Greystar's compensation strategy is tailored to appropriately reward the skillset and experience that a team member will bring to the organization.
Robust Benefits Offered for Full-time Team Members:
Medical, Dental, Vision, Life401(k) with Company Match (eligibility required)Short-term & Long-term DisabilityCritical Illness/Accident/Hospital Indemnity PlansEmployee Assistance ProgramGenerous Paid Time Off: Time off benefits include vacation, holidays, personal days, and sick time and parental leave
For Union and Prevailing Wage roles compensation and benefits may vary from the listed information above due to Collective Bargaining Agreements and/or local governing authority.
Greystar will consider for employment qualified applicants with arrest and conviction records.
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