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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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata modelingETL processesdata warehousingbig data processingdata analyticsdata pipeline designschema designdata architecturedata security
Soft Skills
leadershipmentoringproblem-solvingcollaborationcommunicationinterpersonal skillstechnical guidanceindependent workteamworkcontinuous improvement
Certifications
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