
Job Description:
As Azure Lead Data Engineer, you will have to take over the key activities of designing, coding, and implementing data solutions in the platform. With a focus on leveraging DBT for data transformation and modelling, as well as expertise in MDM tools, you will play a pivotal role in architecting scalable and performant data pipelines and warehouses. You will collaborate closely with cross-functional teams to understand business requirements, architect data solutions, and ensure successful project delivery. You will be leading a team of skilled engineers who will collectively deliver scalable, highly dependable data solutions that can cater to the customers.
Responsibilities:
- Lead the design, development, and implementation of data solutions on the Microsoft Azure platform.
- Architect data pipelines, data warehouses, and data lakes using Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
- Design and implement ETL processes to extract, transform, and load data from various sources into Azure data platforms, utilizing DBT for data transformation.
- Develop scalable and efficient data models to support analytics, reporting, and machine learning initiatives, with a strong emphasis on using DBT for modelling.
- Lead performance optimization efforts to ensure the efficient processing of large volumes of data.
- Mentor and coach junior team members, providing guidance on best practices, technical expertise, and professional development.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Stay abreast of emerging technologies and industry trends in data engineering and cloud computing.
Qualifications:
- BE Computer Science or a related field.
- ~10 years of experience in data engineering, designing, and implementing data solutions on the Microsoft Azure platform.
- Deep understanding of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
- Proficiency in DBT (Data Build Tool) for data transformation and modelling.
- Experience working with any Master Data Management (MDM) tools.
- Experience with data governance and metadata management tools such as Azure Purview or similar.
- Proficiency in programming languages such as Python, Scala, or Java.
- Experience with big data technologies such as Hadoop, Spark, and Kafka.
- Strong leadership skills with the ability to lead and mentor a team of engineers.

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Job Title: AWS Devops Engineer – Manager Business solutions
Location: Gurgaon, India
Experience Required: 8-12 years
Industry: IT
We are looking for a seasoned AWS DevOps Engineer with robust experience in AWS middleware services and MongoDB Cloud Infrastructure Management. The role involves designing, deploying, and maintaining secure, scalable, and high-availability infrastructure, along with developing efficient CI/CD pipelines and automating operational processes.
Key Deliverables (Essential functions & Responsibilities of the Job):
· Design, deploy, and manage AWS infrastructure, with a focus on middleware services such as API Gateway, Lambda, SQS, SNS, ECS, and EKS.
· Administer and optimize MongoDB Atlas or equivalent cloud-based MongoDB solutions for high availability, security, and performance.
· Develop, manage, and enhance CI/CD pipelines using tools like AWS CodePipeline, Jenkins, GitHub Actions, GitLab CI/CD, or Bitbucket Pipelines.
· Automate infrastructure provisioning using Terraform, AWS CloudFormation, or AWS CDK.
· Implement monitoring and logging solutions using CloudWatch, Prometheus, Grafana, or the ELK Stack.
· Enforce cloud security best practices — IAM, VPC setups, encryption, certificate management, and compliance controls.
· Work closely with development teams to improve application reliability, scalability, and performance.
· Manage containerized environments using Docker, Kubernetes (EKS), or AWS ECS.
· Perform MongoDB administration tasks such as backups, performance tuning, indexing, and sharding.
· Participate in on-call rotations to ensure 24/7 infrastructure availability and quick incident resolution.
Knowledge Skills and Abilities:
· 7+ years of hands-on AWS DevOps experience, especially with middleware services.
· Strong expertise in MongoDB Atlas or other cloud MongoDB services.
· Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AWS CDK.
· Solid experience with CI/CD tools: Jenkins, CodePipeline, GitHub Actions, GitLab, Bitbucket, etc.
· Excellent scripting skills in Python, Bash, or PowerShell.
· Experience in containerization and orchestration: Docker, EKS, ECS.
· Familiarity with monitoring tools like CloudWatch, ELK, Prometheus, Grafana.
· Strong understanding of AWS networking and security: IAM, VPC, KMS, Security Groups.
· Ability to solve complex problems and thrive in a fast-paced environment.
Preferred Qualifications
· AWS Certified DevOps Engineer – Professional or AWS Solutions Architect – Associate/Professional.
· MongoDB Certified DBA or Developer.
· Experience with serverless services like AWS Lambda, Step Functions.
· Exposure to multi-cloud or hybrid cloud environments.
Mail updated resume with current ctc-
Email: etalenthire[at]gmail[dot]com
Satish; 88 O2 74 97 43
● Develop, test, implement and maintain application software
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● Participate in application development meetings
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● Commitment to accomplishing the task at hand and identify the fastest and
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● Performance tuning of application code at different service levels
● Interact with customers of the application and help address issues reported
ESSENTIAL SKILLS / EXPERIENCE REQUIRED:
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● 1- 6 years of experience with Java and J2EE/Java EE
● Experience with Spring and Hibernate/ ORM
● understanding of relational database and normal forms
● understanding of SQL concepts and ability to write optimised and high
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● Strong interpersonal skills and time management skills
● Strong problem solving and analytical skills
● Experience using task tracking version control systems e.g. Jira and Git
● Understanding of testNg/JUnit
● Experience with NoSQL Database is a plus
● Experience with CI/CD pipeline like Jenkins, containerisation tools like
docker/kubernetes is a plus
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- Develop and support software including applications, database integration, interfaces, and new functionality enhancements.
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