Lead Data Engineer
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Job Description
Lead Data Engineer building and scaling modern data platforms that power analytics and AI/ML initiatives at Evnek Technologies. Collaborate and mentor while ensuring reliable data infrastructure.
Responsibilities:
- Design, build, and maintain scalable batch and real-time data pipelines
- Architect and implement modern Lakehouse solutions using technologies such as Delta Lake or Apache Iceberg
- Develop and manage ETL/ELT workflows using tools like Airflow, dbt, or Prefect
- Implement robust data quality, governance, lineage, and monitoring frameworks
- Design optimized data models to support analytics, business intelligence, and ML workloads
- Improve platform scalability, reliability, performance, and cost efficiency
- Collaborate with Analytics, Product, and AI/ML teams to enable data-driven solutions
- Lead and mentor a team of data engineers while driving engineering best practices and standards
- Build and maintain CI/CD pipelines and infrastructure automation for data platforms
- Ensure platform reliability, observability, and operational excellence across the data ecosystem
Requirements:
- 7–10 years of experience in Data Engineering
- Strong expertise in SQL, Python, and Spark (PySpark /Scala)
- Hands-on experience with modern cloud data platforms such as: Snowflake, Databricks, BigQuery, Amazon Redshift
- Strong understanding of data modeling methodologies including Kimball and Data Vault
- Experience working with streaming and real-time data systems such as Kafka, Flink, or similar technologies
- Familiarity with infrastructure-as-code and DevOps practices using Terraform and CI/CD pipelines
- Hands-on experience with cloud platforms including AWS, GCP, or Azure
- Strong understanding of scalable distributed data systems and modern data architecture patterns
- Advanced degree in Computer Science, Data Engineering, or a related field preferred.
Benefits:
- Remote work
- Flexible work arrangements
- Professional development opportunities
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