Senior Data Engineer
New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLAzureClickhouseSparkCI/CDData modelingDatabricks
Requirements
- BE/MS in Computer Science, Information Technology, Engineering, or a related field.
- 5+ years of experience in data engineering, data platform development, or related disciplines.
- Strong experience with Databricks, Apache Spark, Delta Lake, or similar distributed data processing technologies.
- Experience with cloud-based data platforms and services, including Azure or equivalent cloud ecosystems.
- Experience designing and operating analytical data platforms using ClickHouse or similar high-performance analytical databases.
- Advanced proficiency in Python and SQL, with strong software engineering fundamentals.
- Experience building scalable ETL/ELT pipelines, orchestration workflows, and modern data architectures.
- Strong understanding of data modeling, data warehousing, and analytics platform design.
- Experience implementing CI/CD, infrastructure automation, and DevOps practices for data platforms.
- Excellent communication and stakeholder management skills.
- Ability to navigate ambiguity, drive outcomes independently, and succeed in customer-facing environments.
Responsibilities
- Partner directly with enterprise customers to understand data challenges, define requirements, and deliver scalable solutions.
- Own technical delivery for customer engagements from discovery and solution design through implementation and adoption.
- Present technical architectures, implementation plans, and business outcomes to both technical and executive audiences.
- Design, build, and maintain scalable batch and real-time data pipelines and data products using Databricks, ClickHouse, Python, and distributed frameworks.
- Architect modern cloud-native data platforms leveraging Azure Data Services.
- Develop robust ETL/ELT frameworks, data models, and data quality monitoring processes.
- Drive best practices in data governance, security, observability, and operational excellence.
- Mentor junior engineers and contribute to architecture decisions and technical design reviews.
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