Overview
Data Engineer (5 Years)
Budget:
Experience:- 5 Years
Salary: As per industry std.
Joining Time:- immediate to 15 days.
Job Location:- Bangalore
Work Mode:- WFH
* Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
* Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
* Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
* Implement robust and fault-tolerant systems for data ingestion and processing.
* Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
* Ensure the security, integrity, and compliance of data according to industry and company standards. You might thrive in this role if you:
* Have 3+ years of experience as a data engineer
* Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
* Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS).
* Expertise with any of ETL schedulers such as Airflow
* Solid understanding of Spark and ability to write, debug and optimize Spark code.
Bonus to have:
* Hands-on experience working with Databricks in production environments.
* Familiarity with the GCP data stack, such as Pub/Sub, Dataflow, BigQuery, or GCS.
Job Types: Full-time, Permanent
Pay: ₹300,000.00 - ₹500,000.00 per year
Benefits:
- Provident Fund
Work Location: In person