*Passport Number Mandatory*

*Position: Senior Data Engineer with E-Commerce Experience*

*Location: Sunnyvale, CA (**Hybrid weekly 3 Day)*

*Visa: H1B/GC/Citizen*


*Duration: 12+ MonthsExperience: 10 + Year*


*Job Description:*



   - Proficiency in managing and manipulating huge datasets in the order of
   terabytes (TB) is essential.
   - Expertise in big data technologies like Hadoop, Apache Spark (Scala
   preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred,
   AWS, Azure etc.) to build batch data pipelines with strong focus on
   optimization, SLA adherence and fault tolerance.
   - Expertise in building idempotent workflows using orchestrators like
   Automic, Airflow, Luigi etc.
   - Expertise in writing SQL to analyze, optimize, profile data preferably
   in BigQuery or SPARK SQL
   - Strong data modelling skills are necessary for designing a schema that
   can accommodate the evolution of data sources and facilitate seamless data
   joins across various datasets
   - Ability to work directly with stakeholders to understand data
   requirements and translate that to pipeline development / data solution
   work.
   - Strong analytical and problem-solving skills are crucial for
   identifying and resolving issues that may arise during the data integration
   and schema evolution process.
   - Ability to move at rapid pace with quality and start delivering with
   minimal ramp up time will be crucial to succeed in this initiative.
   - Effective communication and collaboration skills are necessary for
   working in a team environment and coordinating efforts between different
   stakeholders involved in the project.



*Nice to have:*

   - Experience building complex near real time (NRT) streaming data
   pipelines using Apache Kafka, Spark streaming, Kafka Connect with a strong
   focus on stability, scalability, and SLA adherence.
   - Good understanding of REST APIs – working knowledge on Apache Druid,
   Redis, Elastic search, GraphQL or similar technologies. Understanding of
   API contracts, building telemetry, stress testing etc.
   - Exposure in developing reports/dashboards using Looker/Tableau
   - Experience in eCommerce domain.
   - Tech stack: Google cloud, HDFS, SPARK, Scala, Python (optional),
   Automic/Airflow, BigQuery, Kafka, API, Druid

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