Senior Data Engineer

DAZN; Hyderabad; On-site; INR 2,000,000 - 3,200,000; Full time

Job summary

DAZN is seeking a skilled Data Engineer to join our fast-paced Data Science team in Hyderabad. You will build and maintain data pipelines across multiple cloud-based platforms, focusing on AWS services and scalable ETL architectures.

This role requires strong SQL and Python, experience with Airflow and Spark-based ETL, and proficiency in IaC with Terraform, containerization via Kubernetes, and CI/CD practices.

Qualifications

• Total experience of at least 5 years.
• At least 3–4 years specifically in Data Engineering on a cloud platform.

Skills

SQL

Python

Kubernetes

Airflow

Spark

Terraform

CI/CD

GitHub Actions

GitLab

NoSQL

Tools

AWS Glue

AWS Redshift

AWS S3

AWS Lambda

AWS RDS

Aurora

DynamoDB

EMR

Athena

Data Pipeline

Batch Job

OpenSearch

Apache NiFi

Apache Kafka

Apache Airflow

Terraform

Job description

We are seeking a skilled and experienced Data Engineer to join our fast-paced and innovative Data Science team. This role involves building and maintaining data pipelines across multiple cloud-based data platforms.

Requirements:

A minimum of 5 years of total experience, with at least 34 years specifically in Data Engineering on a cloud platform.

Key Skills & Experience:

• Proficiency with AWS services such as Glue, Redshift, S3, Lambda, RDS, Amazon Aurora, DynamoDB, EMR, Athena, Data Pipeline, Batch Job.

Strong expertise in:

• SQL and Python
• DBT and Snowflake
• OpenSearch, Apache NiFi, and Apache Kafka
• In-depth knowledge of ETL data patterns and Spark-based ETL pipelines.
• Advanced skills in infrastructure provisioning using Terraform and other Infrastructure-as-Code (IaC) tools.
• Hands-on experience with cloud-native delivery models, including PaaS, IaaS, and SaaS.
• Proficiency in Kubernetes, container orchestration, and CI/CD pipelines.
• Familiarity with GitHub Actions, GitLab, and other leading DevOps and CI/CD solutions.
• Experience with orchestration tools such as Apache Airflow and serverless/FaaS services.
• Exposure to NoSQL databases is a plus.