Telecaller

Your Responsibilities

1. Design, implement, and maintain cloud infrastructure on Azure, ensuring

scalability, reliability, and security.

2. Setup and manage Kubernetes clusters for container orchestration, including

deployment, scaling, and monitoring.

3. Develop and maintain automated deployment pipelines using GitHub Actions or

similar CI/CD tools.

4. Utilize configuration management tools like Helm, Kubernetes, and Ansible for

infrastructure as code (IaC) and automated provisioning.

5. Collaborate closely with development teams to streamline workflows and

improve release processes.

6. Monitor system performance, troubleshoot issues, and implement solutions to

ensure optimal uptime and performance.

7. Stay up-to-date with industry best practices, emerging technologies, and trends in

DevOps and cloud computing.

The Skills you’ll need

In order to be successful in this role, you must have the following skills & experience:

1. 4-5 years of professional experience in DevOps or related roles.

2. Strong experience with cloud platforms such as AWS or Azure.

3. Proficiency in setting up and managing Kubernetes clusters.

4. Hands-on experience with containerization technologies like Docker.

5. Demonstrated expertise in building and maintaining CI/CD pipelines using GitHub

Actions or similar tools.

6. Solid understanding of infrastructure as code (IaC) principles, with experience

using tools like Helm, Kubernetes, and Ansible.

7. Excellent communication skills and ability to collaborate effectively with

cross-functional teams.

8. Proven problem-solving skills and ability to thrive in a fast-paced, dynamic

environment.

Good to have skills

1. Self-starter and highly motivated individual who is prepared to use his/her own

initiative in understanding and following up issues.

2. Takes ownership and responsibility of problems through to resolution.

3. Keen to learn business processes and technical skills.

4. Ability to work under pressure and multi-task when necessary.

5. Hands on experience using tools like Trello, Gitlab, Zoom

About the Role:

We are seeking an experienced Data Engineer to lead and execute the migration of existing Databricks-based pipelines to Snowflake. The role requires strong expertise in PySpark/Spark, Snowflake, DBT, and Airflow with additional exposure to DevOps and CI/CD practices. The candidate will be responsible for re-architecting data

pipelines, ensuring data consistency, scalability, and performance in Snowflake, and enabling robust automation and monitoring across environments.

Key Responsibilities

Databricks to Snowflake Migration

·       Analyze and understand existing pipelines and frameworks in Databricks (PySpark/Spark).

·       Re-architect pipelines for execution in Snowflake using efficient SQL-based processing.

·       Translate Databricks notebooks/jobs into Snowflake/DBT equivalents.

·       Ensure a smooth transition with data consistency, performance, and scalability.

Snowflake

·       Hands-on experience with storage integrations, staging (internal/external), Snowpipe, tables/views, COPY INTO, CREATE OR ALTER, and file formats.

·       Implement RBAC (role-based access control), data governance, and performance tuning.

·       Design and optimize SQL queries for large-scale data processing.

DBT (with Snowflake)

·       Implement and manage models, macros, materializations, and SQL execution within DBT.

·       Use DBT for modular development, version control, and multi-environment deployments.

Airflow (Orchestration)

·       Design and manage DAGs to automate workflows and ensure reliability.

·       Handle task dependencies, error recovery, monitoring, and integrations (Cosmos, Astronomer, Docker).

DevOps & CI/CD

·       Develop and manage CI/CD pipelines for Snowflake and DBT using GitHub Actions, Azure DevOps, or equivalent.

·       Manage version-controlled environments and ensure smooth promotion of changes across dev, test, and prod.

Monitoring & Observability

·       Implement monitoring, alerting, and logging for data pipelines.

·       Build self-healing or alert-driven mechanisms for critical/severe issue detection.

·       Ensure system reliability and proactive issue resolution.

Required Skills & Qualifications

·       5+ years of experience in data engineering with focus on cloud data platforms.

·       Strong expertise in:

·       Databricks (PySpark/Spark) – analysis, transformations, dependencies.

·       Snowflake – architecture, SQL, performance tuning, security (RBAC).

·       DBT – modular model development, macros, deployments.

·       Airflow – DAG design, orchestration, and error handling.

·       Experience in CI/CD pipeline development (GitHub Actions, Azure DevOps).

·       Solid understanding of data modeling, ETL/ELT processes, and best practices.

·       Excellent problem-solving, communication, and stakeholder collaboration skills.

Good to Have

·       Exposure to Docker/Kubernetes for orchestration.

·       Knowledge of Azure Data Services (ADF, ADLS) or similar cloud tools.

·       Experience with data governance, lineage, and metadata management.

Education

·       Bachelor’s / Master’s degree in Computer Science, Engineering, or related field.

Skills required – Javascript,Mongodb,Angularjs,Nodejs

Level:P1-Exp -1-2 years

Location – Pune

A Product based company is looking out for software engineers in the following categories.
If your profile matches any of the skills&experience categories and you are looking for a change,  Salary won't be a constraint for the right candidate

Category : 0 to 2 years of experience in mobile applications development for android or iOs platforms.

• Java automation
• Automation Testing
• BDD/Cucumber framework for UI and RestAPI testing using Maven
• Responsible for End to end CI/CD setup and maintenance.
• Designing the CI/CD architecture & building pipelines
• Support in defining the Three-tier architecture.
• Should have good knowledge in Testing Strategies
• Handle the Monolith and modern application.

Secondary:

• To lead DevOps activities in the team.
• Lead the upskill program within the team
• Train the team on the required technologies
• Coordination with different IT stakeholders as and when needed
• Suggestion and Implementation of further toolchains towards DevOps and GitOps
• Responsible to train the peer colleagues

Skills:

• Good hands-on experience in Java
• Automation Testing tools like selenium, LeanFT, etc.
• Should have implemented BDD/Cucumber framework for UI and RestAPI testing.
• Should have working experience with build management tools like Maven, Gradle, Ant, etc.
• Responsible for End to end CI/CD setup and maintenance.
• Should have written the pipeline in Jenkins e.g. scripted pipelines.
• Support in defining the Three-tier architecture.
• Should have good knowledge in Testing Strategies
• Handle the Monolith and modern application.
• Should have executed automation tests using Docker containers (selenium as the grid)
• Knowledge of containerization
• Hands-on Kubernetes experience would b
• Expert knowledge of Source Control Systems, build & integration tools (e.g., GIT, Jenkins & Maven).
• Hands-on experience with designing the CI/CD architecture & building pipelines (on On-prem, Cloud & Hybrid infrastructure services).

Good to have:

• Experience with monitoring tools like Prometheus-Grafana & Dynatrace.
• Experience with log management tools (e.g. ELK/EFK stack, Azure monitor, or similar).
• Experience with Infrastructure as a Service / Cloud computing (preferably Azure).
• Experience with Open Liberty, JBoss, etc.
• Hands-on experience with multiple database products like IBM DB2, PostgreSQL, etc.
• Writing automation scripts in Unix shell, Perl, etc. would be preferred
• Application development/automation experience using Python would an added advantage
• Brownie points for having:

Certifications:

• Certified DevOps engineer
• Azure Admin / Solution Architect
• Certified Kubernetes Administrator (CKA)