Apply on Kit Job: kitjob.in/job/43ph4o

Company: BrezQ Inc (USA)

Employment Type: Contract (6 Months, Extendable)

Location: Remote

Experience: 4–6 Years / 7–10 Years

Open Positions: 8 (4 Mid-Level, 4 Senior)

Joining Requirement: Immediate (0–15 Days)

About BrezQ Inc

BrezQ Inc delivers data engineering, cloud, and analytics Team for enterprise platforms and high-scale systems. Teams work across distributed environments to build modern data infrastructure and enable data-driven decision-making.

Role Summary

We are hiring Data Engineers with solid experience in AWS, ETL/ELT pipelines, and infrastructure automation. The role focuses on building scalable data pipelines, managing cloud-based data platforms, and improving data reliability, performance, and accessibility.

Candidates should have hands-on experience with modern data stack tools and the ability to work across multiple projects.

Core Responsibilities

- Design, build, and maintain scalable data pipelines for analytics, reporting, and machine learning
- Develop and optimize ETL and ELT processes for structured and unstructured data
- Integrate data from multiple internal and external sources ensuring quality and consistency
- Architect and manage AWS-based data platforms using S3, Redshift, EMR, Glue, and Lambda
- Build and orchestrate workflows using Airflow, dbt, or AWS Step Functions
- Implement Infrastructure as Code using Terraform
- Collaborate with engineering, analytics,



and data science teams
- Develop scripts and automation using Python and SQL
- Improve data reliability using monitoring, logging, and alerting systems
- Document data architecture, schemas, and workflows
- Evaluate and implement new tools to enhance performance and scalability

Required Skills
- Data Engineering
- AWS (EC2, S3, VPC, IAM, ECS/EKS, RDS, CloudWatch)
- ETL / ELT Pipelines
- Python and SQL
- REST-based data integration and APIs
- CI/CD (GitHub Actions or similar)
- Infrastructure as Code (Terraform preferred)
- Microservices and distributed data systems
- Containerization (Docker) and orchestration (Kubernetes)

Experience Levels:

- 4–6 years (Mid-Level)
- 7–10 years (Senior Level)

Preferred Skills
- Apache Spark
- Airflow or dbt
- Streaming data (Kafka or similar)
- Data warehousing (Redshift, Snowflake, BigQuery)
- BI tools (Tableau, Power BI, Looker)
- Data governance and security best practices
- Monitoring tools (Prometheus, Grafana, Datadog, ELK)
- Exposure to MLOps workflows

Work Requirements
- Immediate joiners only (maximum 15 days notice)
- Strong hands-on development and implementation experience required
- Ability to work across multiple parallel projects

Application

Apply via LinkedIn or email:

Data Engineer – Immediate Joiner – BrezQ

www.BrezQ.com

Apply on Kit Job: kitjob.in/job/43ph4o

📌 Data Engineer (AWS, ETL, Terraform, CI/CD) – Immediate Joiners | BrezQ (Nellore)
🏢 BrezQ
📍 Nellore