Posted:-1 days ago|
Platform:
Work from Office
Full Time
Candidates for this position are preferred to be based in Bangalore, and will be expected to comply with their teams hybrid work schedule requirements.
What What youll do:
Drive the design, development, and launching of new data models, data pipelines, and data products focussed on Search and Recommendations.
Helping teams push the boundaries of analytical insights, creating new product features using data, and powering machine learning models
Build cross-functional relationships to understand data needs, build key metrics and standardize their usage across the organization.
Utilize current and leading edge technologies in software engineering, big data, streaming, and cloud infrastructure
Be a technical mentor to junior engineers
We Are a Match Because You Have:
Bachelor/Master degree in Computer Science or related technical subject area or equivalent combination of education and experience
6+ years relevant work experience in the Data Engineering field with web scale data sets
Expertise with big data technologies tools like Hadoop, Spark, Hive, Presto, Airflow etc.
Experience in cloud platforms such as GCP using technologies like Big Query, Dataproc, GCS, Cloud Composer, Dataflow or related technologies in AWS or Azure
Comfortable designing and implementing DW Architecture, OLAP technologies, and star/snowflake-schemas to enable self-service tooling.
Expertise in at least one object-oriented or scripting language (Java, Scala, Python etc.) and SQL
Experience with real-time data streaming tools like Flink, Kafka, Beam or any similar tools.
Experience with designing data models for traditional relational databases or big data stores.
Strong understanding of algorithms, data structures, data architecture, and technical designs.
Excellent communication and presentation skills, strong business acumen, critical thinking, and ability to work cross functionally through collaboration with engineering and business partners.
Experience with domain-driven design, event modeling, and event sourcing is preferred
Wayfair
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