Website:
nasugroup.com
Job details:
We're seeking candidates with 6+yrs experience who are collaborative, delivery-focused, proactive, and comfortable working with global teams. Strong communication skills, ownership, and a passion for solving complex data engineering challenges are essential. Hands-on experience with Lakehouse platforms and a strong foundation in Data Structures and Algorithms (DSA) are mandatory, as this role requires designing scalable, high-performance data solutions and supporting enterprise-scale migration initiatives.
We're Looking For
- 6+ years of hands-on Data Engineering experience.
- Mandatory experience working with modern Lakehouse architectures and large-scale data migration or modernization initiatives.
- Strong programming skills in Python or Java, with a solid foundation in Data Structures and Algorithms (DSA) for developing efficient, scalable, and high-performance data processing solutions.
- Advanced SQL skills with strong troubleshooting, query optimization, and performance tuning experience.
- Hands-on experience with Apache Spark, Kafka, and CI/CD practices.
- Experience deploying and managing applications on Kubernetes (K8s).
- Strong understanding of Software Development Life Cycle (SDLC) and software engineering best practices.
- Proven ability to design, optimize, and troubleshoot large-scale distributed data pipelines.
Preferred Experience
- Snowflake
- Apache Iceberg
- Hadoop (HDFS/Hive)
- Sybase IQ
- JSON, Avro, and Parquet
- Schema Evolution
- SCD Type 2
- Data partitioning and clustering
- Data modeling, normalization, and denormalization
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