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Data Engineer
TechnoIdentity
posted 4mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Experience with distributed processing technologies and frameworks, such as Hadoop, Spark, Kafka, and distributed storage systems (e.g., HDFS, S3)
- Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
- Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks
- Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
- Excellent written and verbal communication skills
A Typical Day:
- Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, financial details, and external data feeds.
- Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy.
- Build scalable data pipelines (SparkSQL Scala) leveraging Airflow scheduler/executor framework
- Collaborate with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements.
- Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity
- Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues.
- Skill Sets - Python, SQL (expert level), Spark and Scala (intermediate). var portalPageJson = {
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Employment Type: Full Time, Permanent
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What TechnoIdentity employees are saying about work life
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Flexible timing
Monday to Friday
No travel
Day Shift
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