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Job Description
- Design and build scalable organizational data infrastructure and Medallion architecture within a Lakehouse environment
- Develop robust, fault-tolerant ETL/ELT applications for seamless data ingestion, transformation, and distribution to enable analytics, reporting, and AI workloads
- Work with different stakeholders and teams to assist with data related technical solutions and support their data infrastructure needs
- Explore and experiment with new use cases, frameworks, and tools to enhance AI capabilities, ensuring data integrity, quality, and reliability
- Identify and implement infrastructure re-designs to improve scalability, optimize data delivery, and automate manual workflows
- Choose the best tools/services/resources to build robust data pipelines
- Collaborate with cross-functional teams to understand data requirements, create robust data models, and deliver actionable insights
- Monitor, troubleshoot, and optimize jobs for performance, addressing data pipeline bottlenecks and ensuring cost efficiency
- Continuously improve engineering processes, balancing speed, quality, and business impact
- Coach, mentor, and provide technical guidance to junior engineers, fostering a culture of continuous learning and development
- Stay updated on emerging technologies and trends in data engineering, recommending and implementing innovative solutions
- Bachelor's/Master's degree in computer science, engineering, or a related field
- 5+ years of proven experience in data engineering, delivering business-critical software solutions for large enterprises with a consistent track record of success
- Experience writing ETL/ELT jobs
- Experience with Azure and Databricks Platform
- Experience with Python, SQL, and REST APIs
- Excellent communication and the ability to reason about trade-offs
- Ability to work with an international team
- Cloud architecture principles: compute, storage, networks, security, cost
- Proficiency in using open-source tools, frameworks like FastAPI, Pydantic, Polars, Pandas, Delta Lake, Docker, Kubernetes
- Knowledge of CI/CD, Git, or infrastructure-as-code concepts
- Strong project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously in an Agile environment
- Understanding of how data engineering feeds into Business Intelligence and reporting tools (Power BI/Tableau)
- Strong problem-solving and analytical skills
- Strategic thinker and strong execution orientation
- Ability to work in cross-functional teams
- Attention to detail and data quality
Location - Mumbai,New Delhi,Bengaluru,Hyderabad
Skills
Advanced AnalyticsBusiness IntelligenceAzureData EngineeringArchitectureComplianceAnalytical SkillsApisAdvanced AnalyticsArtificial IntelligencePythonData IntegrityEtlMachine LearningData EngineerAnalyticsAiSqlPandasDatabricksFastapiIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Kroll, a global leader in risk management, offers a diverse range of opportunities through Kroll's careers. Specializing in governance, risk, and transparency, Kroll careers appeal to professionals interested in cybersecurity, corporate finance, investigations, and compliance. Kroll promotes a culture of integrity and excellence, providing employees with the tools and training necessary to advance their expertise and tackle complex challenges. This dynamic work environment encourages continuous professional development and innovation. For those looking to contribute to a safer, more secure global marketplace, the Kroll careers page offers detailed information on available positions, company values, and the benefits of joining their expert team.
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