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Sr Data Engineer
Need 8 years profile Position: Data Engineer Location: Sunnyvale, CA
Only W2
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 (Google Cloud Platform 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 modeling 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
Full Time
$149k-182k (estimate)
03/21/2024
04/03/2024
bridgenexus.com
Fremont, CA
The job skills required for Sr Data Engineer include SQL, Python, AWS, Big Data, Azure, Data Modeling, etc. Having related job skills and expertise will give you an advantage when applying to be a Sr Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Sr Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Sr Data Engineer positions, which can be used as a reference in future career path planning. As a Sr Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Sr Data Engineer. You can explore the career advancement for a Sr Data Engineer below and select your interested title to get hiring information.