Data engineer (Remote)

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