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ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
data engineeringdata modelingETL processesdata warehousingbig data processingdata analyticsdata pipeline designschema designdata architecturedata security
Soft Skills
leadershipmentoringproblem-solvingcollaborationcommunicationinterpersonal skillstechnical guidanceindependent workteamworkcontinuous improvement
Tools & Technologies
Azure Data FactoryAzure SynapseApache SparkDatabricksPower BIMicrosoft Fabricdata analytics toolsdata solutionsdata compliance measuresdata security measures
Certifications & Qualifications
Bachelor's degree in Computer ScienceMaster's degree in Computer ScienceBachelor's degree in EngineeringMaster's degree in EngineeringBachelor's degree in Data ScienceMaster's degree in Data Science
Industry Keywords
data engineeringdata analytics platformbusiness intelligencecross-functional teamsorganizational policiesregulationsindustry trendsbest practicesdata solutionsinnovative data engineering techniques
Tech Stack
Tools & technologiesApacheAzureETLSpark
About the role
Key responsibilities & impact- Design, build, and maintain scalable and robust data pipelines using Azure Data Factory, Azure Synapse, and other relevant tools.
- Leverage Apache Spark or Databricks for big data processing and analytics.
- Develop and optimize data models, schema design and architectures for data warehousing and business intelligence using Power BI and other analytics tools.
- Lead and mentor teams of Data Engineers, providing technical guidance and oversight to ensure project success.
- Collaborate with cross-functional teams, including data scientists, business analysts, and IT professionals, to understand data needs and deliver comprehensive data solutions.
- Implement and maintain data security and compliance measures in line with organizational policies and regulations.
- Stay abreast of industry trends and advancements in data engineering and analytics technologies, applying best practices to improve processes and solutions.
- Drive the adoption of innovative data engineering techniques and tools, fostering a culture of continuous improvement and learning.
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- 3 to 6 years of experience in data engineering, with a strong focus on Microsoft Azure's Data Analytics Platform.
- Proficiency in Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI.
- Experience leading and managing teams of Data Engineers in a fast-paced environment.
- Strong understanding of data modeling, ETL processes, and data warehousing principles.
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Knowledge of Microsoft Fabric is preferred but not necessary.
- Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
Benefits
Comp & perks- Flexible work arrangements
- Professional development
- Health insurance