
Data Engineer
Global-Talent-Exchange
Required Skills:
Spark
Airflow
Hadoop
S3
Aws Dynamodb
MapReduce
Yarn
Hdfs Java Programming
Hive
Presto
Apache Pig
HBase
Parquet
Python
Bash
SQL
MySQL
PostgreSQL
Spark
Airflow
Hadoop
S3
DynamoDB
MapReduce
Yarn
HDFS
Hive
Presto
Pig
HBase
Parquet
Python
Bash
SQL
MySQL
PostgreSQL
Responsibilities:
- Develop, evolve, and support pipelines based on business and engineering needs
- Implement and adopt systems tracking data quality and consistency
- Propose and develop tools supporting self-service data pipeline management (ETL)
- SQL and MapReduce job tuning to improve data processing performance
- Contribute to the DE team tech roadmap and align it with stakeholders
- Build well-crafted, well-tested, readable, maintainable code with data infrastructure cost and scalability in mind
- Participate in code reviews to ensure code quality and distribute knowledge
- Participate in on-call rotations to ensure high availability and reliability of workflows and data
- Unblock, support and communicate with internal & external partners to achieve results
Experience:
- 5+ years of relevant professional experience
- Strong experience with Spark and Airflow
- Experience with Hadoop (or similar) Ecosystem, S3, DynamoDB, MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase, Parquet
- Strong skills in a scripting language (Python, Bash, etc)
- Experience of driving building complex data models and pipelines
- Proficient in at least one of the SQL languages (MySQL, PostgreSQL, etc)
- Experience of working directly with cross-functional data analytics, data scientists, and engineering teams to bridge business goals with data engineering
- Preferred experience of building and maintaining pay, identity, or integrity related data tables as a Data Engineer for large organizations
Benefits:
- Great medical, dental, and vision insurance options with additional programs available when enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan to help save for your future
- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Subsidized commuter benefits
- Exclusive opportunity to test new benefits of our Ridership Program
The expected base pay range for this position in the San Francisco area is $128,000 - $160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits.
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