Job Description
Responsibilities:
Work with a team of skilled and experienced Big Data/Software engineers to design and code large scale real-time/batch data pipelines and tables
Build data pipelines using Python/Scala/Java
Implement all the necessary infrastructures which allow self-healing and observable monitoring of data ingestion, and consumption through Datadog.
Define, develop and maintain artefacts like technical design or user documentation and look for continuous improvement in software and development process within an agile mindset
In collaboration with other Data Engineering teams, validate and maintain data pipeline across our data ecosystem for the Product Effectiveness team
Background in monitoring / performing root cause analysis in data pipelines such as DBT, Streamset and Airflow
Mine data from multiple data sources in Hive, and others, with a special focus on data stored as JSON
Write and revise complex SQL queries or Python to acquire and analyze data and to tune queries
Wrangle and clean data via ETL processes as necessary to support data science and data analyst teams
Validate data quality and perform root cause analysis to remediate issues as needed
Implement testing and observability across the data infrastructure to ensure data quality from raw sources to downstream models.
Effectively comment and document developed code to empower peers and future colleagues to get maximum value from the data pipelines you develop
Scope and plan the work across multi-team efforts, working with key stakeholders to establish a plan for implementation and delivery
Skills/ Qualifications:
- Degree in Computer science or related technical field or equivalent related professional experience
- 3+ years of meaningful work experience in Big Data /distributed computer projects
- Experience in crafting real-time streaming and batch applications-Good to have
- Extensive experience in programming in Scala/Java/Python (any)
- Experience building data pipelines using cloud services (eg. - AWS)
- Passionate about working with data and data technologies
Other Details
About Company
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