Data Engineer

0 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Join one of the fastest-growing food tech companies transforming how India eats! From cloud kitchens and QSRs to delivery-first brands, we're building customer-first mobile experiences that power millions of orders. We're looking for Data engineers who can turn great ideas into scalable, high-performance applications that delight food lovers across the country.

Responsibilities

  • Design, build, and manage scalable data pipelines using Kafka, Spark, and AWS Glue.
  • Architect data lake and warehouse schemas for efficient querying.
  • Implement stream and batch ETL processes with orchestration tools (Airflow).
  • Optimize data partitioning, storage tiering, and cost.
  • Collaborate with analysts and data scientists to serve analytical and ML-ready datasets.
  • Implement monitoring, logging, and alerting for pipeline health.

Requirements

  • Strong experience in building data pipelines with Apache Kafka, Spark/Glue, and Airflow.
  • Expertise in cloud platforms (AWS preferred), S3 Athena, IAM, Kinesis, Redshift/Snowflake.
  • Proficiency in SQL, Python, and Parquet/ORC formats.
  • Experience with data modelling for analytics (star/snowflake schema).
  • Knowledge of data governance, security, and cost management.

Good To Have Skills

  • Experience with real-time stream processing (Apache Flink/Kinesis Data Analytics).
  • Exposure to ML/AI workflows (Databricks/SageMaker).
  • Knowledge of Terraform/CDK for infrastructure automation.
  • Understanding of data quality frameworks (Great Expectations, Deequ).
  • Familiarity with Presto/Trino, Delta Lake, Apache Doris, or Apache Iceberg.
This job was posted by Shruti Sinha from Wow! Momo.

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