Data Engineer L1
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Department:
Job Summary
Responsibilities:
Assemble large complex data that meet functional/non-functional business
requirements.
Identify design and implement internal process improvements: automating manual
processes optimizing data delivery re-designing transformation for greater scalability
etc.
Use the infrastructure/services required for optimal extraction transformation and
loading of data from a wide variety of data sources using GCP and AWS services.
Create data for analytics and CRM team members that assist them in building and
optimizing our product.
Work with stakeholders including the Product Data and Design teams to assist with
data-related technical issues and support their data requirement needs.
Requirements:
Bachelors degree with Minimum 1.5 years of experience working in globally distributed
teams successfully
Must have experience working on Spark Kafka and Python
Apply experience with cloud storage and computing for data pipelines in GCP (GCS
Dataproc)
Write pipelines in Airflow to orchestrate data pipelines
Experience in DBT
Strong analytic skills related to working with unstructured datasets.
Experience in manipulating processing and extracting value from large disconnected
datasets.
Experience with software engineering practices in data engineering e.g. release
management testing etc and corresponding tooling (dbt great expectations ...)
Experience with data governance privacy and security;
Basic ML exposure & know-how;
supporting teams as they migrate through guidelines support and adherence to good
practices.
Independently fulfill incoming tracking requests as assigned by your PO.
Support the team championing web analytics and data literacy within the organization
and work to enhance our capabilities through training and support as needed.
Dynamically adapt to fluid situations to deliver the intended results
Strong interpersonal and conflict resolution skills
Ability to form productive relationships quickly and create the spheres of influence
required for transformational changes
Excellent verbal and written communication skills
Perks:
Day off on the 3rd Friday of every month (one long weekend each month)
Monthly Wellness Reimbursement Program to promote health well-being
Paid paternity and maternity leaves
Qualifications :
Bachelors degree with Minimum 1.5 years of experience working in globally distributed
teams successfully
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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