Location: Hyderabad, TG, IND | Work Mode: Full time | Job ID: JR7789 | Posting date/time: Posted 4 Days Ago
Job Description
Cloud & Platform Expertise
Architect, monitor and manage data platforms in AWS, Azure and Private Clouds, including services like:
AWS RDS, Redshift, Glue, S3, Lambda, AWS Aurora, Elasticache, Neptune
Azure Managed Instances, Azure VMs with IaaS extension, Azure SQL, Synapse, ADF Data Factory, Blob Storage, Azure Fabric
Ensure secure, scalable, and cost-effective cloud data infrastructure.
Data Engineering & Integration
Design and maintain robust ETL/ELT pipelines using tools like Airflow, Kafka, Debezium, Qlik.
Support real-time and batch data processing needs across business units.
Collaborate with application teams to modernize legacy systems and integrate new platforms.
Tooling & Automation
Develop and maintain automation scripts using PowerShell and other scripting languages.
Implement CI/CD pipelines for data infrastructure and code deployments.
Preferred Skills & Technologies:
Databases: SQL Server, PostgreSQL, MySQL, Snowflake, Neptune
Cloud: AWS (RDS, Redshift, Glue, Neptune, Aurora, Scaleout), Azure (SQL VMs, Synapse, Data Factory, Managed Instances, Azure DB, Fabric)
Data Tools: Kafka, Debezium, Airflow, Qlik, Looker
Monitoring: New Relic, CloudWatch, Azure Monitor
Scripting: PowerShell, Python, Bash
Other: Git, Terraform, Docker, Kubernetes
Ideal Candidate Profile
6+ years of experience in data engineering, database administration, or infrastructure roles.
Deep understanding of data architecture, performance tuning, and high-availability systems.
Strong communication skills with the ability to mentor and inspire.
Self-starter who thrives with minimal supervision and takes full ownership of responsibilities.
Committed to diversity, inclusion, and team development.
Job details made easy by trendtoday360
Quick Summary: This role demands a serious cloud & data engineering expert — not a rookie. You’ll be building and managing scalable data platforms across AWS & Azure, automating workflows, optimizing performance, and supporting real-time data needs. Expect a fast-paced environment where excuses don’t fly.
What boosts your chances: Strong ETL design, CI/CD automation, Kubernetes, Terraform, monitoring tools, and the confidence to take ownership.
ATS Keywords: AWS, Azure, Data Engineering, ETL, Redshift, Synapse, Airflow, Kafka, Terraform, Kubernetes, CI/CD, SQL, PowerShell, Python, Cloud Infrastructure, Data Pipelines, Monitoring Tools, High Availability, Performance Tuning
Work Mode: Full Time (Hyderabad)
Ideal Fit: Someone who can deliver without constant hand-holding.
Job updates by trendtoday360
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