Walk-in | Data Engineer

Waisl; New Delhi, Bengaluru; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Waisl in Delhi invites a Data Engineer to build and maintain scalable data pipelines feeding data scientists and ML models, ensuring data is accessible, organized, and of high quality. You will design large-scale processing systems, ETL/ELT pipelines, data lakes/warehouses, and collaborate with data scientists to meet modeling needs while optimizing performance and cost.

Candidates should have a CS degree, 3-10 years of data engineering experience, and proficiency in SQL, Spark, Hadoop, Kafka,

Qualifications

• Bachelor's or Master’s in Computer Science or a related field.
• 3-10 years of experience in a Data Engineer role.
• Expert-level proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop, Kafka).
• Strong programming skills in Java (atleast 2 years).
• Experience with cloud data services (e.g., AWS Redshift/S3, Azure Synapse/Data Lake, GCP BigQuery).
• Knowledge of data modeling and data warehousing concepts.

Responsibilities

• Design, construct, install, and maintain large-scale data processing systems and data lakes/warehouses.
• Build scalable and reliable ETL/ELT pipelines to ingest data from diverse sources.
• Ensure data quality and implement data governance and security standards.
• Collaborate with Data Scientists to understand data requirements for modeling.
• Optimize data systems for performance and cost.
• Work with data architecture on data modeling and schema design.

Skills

Data modeling

Data governance

Education

Bachelor's or Master’s in Computer Science or related field

Tools

SQL

Spark

Hadoop

Kafka

Java

AWS Redshift

S3

Azure Synapse

Data Lake

BigQuery

Job description

Data Engineer

Role Summary

The Data Engineer is the foundation of the AI CoE. You build and maintain the robust, scalable, and efficient data pipelines that feed clean, reliable data to the data scientists and ML models. You ensure that data is accessible, organized, and of high quality.

Key Responsibilities

• Design, construct, install, and maintain large-scale data processing systems and data lakes/warehouses.


• Build scalable and reliable ETL/ELT pipelines to ingest data from diverse sources.


• Ensure data quality and implement data governance and security standards.


• Collaborate with Data Scientists to understand data requirements for modeling.


• Optimize data systems for performance and cost.


• Work with data architecture on data modeling and schema design.

Qualifications

• Bachelors or Master’s in Computer Science or a related field.


• 3-10 years of experience in a Data Engineer role.


• Expert-level proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop, Kafka).


• Strong programming skills in Java (atleast 2 years).


• Experience with cloud data services (e.g., AWS Redshift/S3, Azure Synapse/Data Lake, GCP BigQuery).


• Knowledge of data modeling and data warehousing concepts.