Mainframe developer

Job Title: Data Engineer

Location City: Gurugram

Industry: Research and Advisory Services

Role Overview

We are looking for a Senior Data Engineer (7–10 years) to play a foundational role in building Everest Group’s greenfield, Snowflake-based enterprise data platform.

This role is hands-on and ownership-driven, with a strong focus on:

Ingesting data from enterprise SaaS platforms Building scalable Snowflake ELT pipelines

Designing analytics-ready data models Owning the initial Snowflake platform foundations in collaboration with architecture leadership The ideal candidate has deep experience integrating CRM and marketing systems via APIs, is comfortable operating production- grade data pipelines, and can make sound decisions around performance, cost, and reliability.

Key Responsibilities

Robust Data Ingestion Pipelines From Enterprise SaaS Platforms, Including

 Salesforce (CRM)

 NetSuite (Finance)

 Marketing and RevOps tools such as Marketo, 6sense, Gong

 SharePoint (files, metadata, permissions)

Develop API-based Ingestion Frameworks Handling

 Authentication and authorization

 Pagination, rate limits, retries, and failures

 Incremental loads, soft deletes, and historical tracking

 Schema evolution and upstream source changes

ELT pipelines within Snowflake Write high-quality, optimized SQL for complex

transformations Build and manage data layers including raw, staged, and curated datasets

Optimize Snowflake warehouses, storage, and query performance with a strong focus on cost efficiency

Models Including

 Fact and dimension tables

 Star and snowflake schemas

 Slowly Changing Dimensions (SCD Type 1 and Type 2) Ensure data models support reporting, dashboards, and research analytics Partner with analytics and research teams to deliver analytics-ready, well documented datasets reliability including scheduling, monitoring, alerting, and recovery Implement data quality checks for accuracy, completeness, and freshness

 Support Snowflake Platform Foundations Including

 Warehouse and environment strategy (dev/test/prod)

 Role-based access control (RBAC) Secure handling of sensitive HR and finance data (PII) Troubleshoot and resolve data issues across ingestion, transformation, and consumption layers research, product, and technology stakeholders to translate business needs into data solutions Contribute to data platform architecture discussions and continuous improvement initiatives

Maintain clear documentation for pipelines, data models, and data flows

Follow modern engineering practices including Git-based version control and CI/CD workflows

Education And Experience

Bachelor’s or master’s degree in computer science, Information Technology, Engineering, Mathematics, or related field.

7–10 years of hands-on experience in data engineering or similar roles

Strong hands-on expertise with Snowflake, including ingestion, transformations, and performance optimization

Proven experience ingesting data from SaaS platforms via APIs (HR, CRM, or Marketing systems)

Advanced SQL skills and strong understanding of relational databases and data modeling

Strong Python experience for API integration, data ingestion, and automation Experience with cloud platforms (Azure preferred; AWS/GCP acceptable)

Experience with orchestration or transformation tools such as dbt, Azure Data Factory, or similar

Strong problem-solving skills, ownership mindset, and attention to detail

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

What You’ll Do:

We’re looking for a skilled DevOps Engineer to help us build and maintain reliable, secure, and scalable infrastructure. You will work closely with our development, product, and security teams to streamline deployments, improve performance, and ensure cloud infrastructure resilience.

Responsibilities:

● Deploy, manage, and monitor infrastructure on Google Cloud Platform (GCP)

● Build CI/CD pipelines using Jenkins and integrate them with Git workflows

● Design and manage Kubernetes clusters and helm-based deployments

● Manage infrastructure as code using Terraform

● Set up logging, monitoring, and alerting (Stackdriver, Prometheus, Grafana)

● Ensure security best practices across cloud resources, networks, and secrets

● Automate repetitive operations and improve system reliability

● Collaborate with developers to troubleshoot and resolve issues in staging/production environments

What We’re Looking For:

Required Skills:

● 1–3 years of hands-on experience in a DevOps or SRE role

● Strong knowledge of GCP services (IAM, GKE, Cloud Run, VPC, Cloud Build, etc.)

● Proficiency in Kubernetes (deployment, scaling, troubleshooting)

● Experience with Terraform for infrastructure provisioning

● CI/CD pipeline setup using Jenkins, GitHub Actions, or similar tools

● Understanding of DevSecOps principles and cloud security practices

● Good command over Linux, shell scripting, and basic networking concepts

Nice to have:

● Experience with Docker, Helm, ArgoCD

● Exposure to other cloud platforms (AWS, Azure)

● Familiarity with incident response and disaster recovery planning

● Knowledge of logging and monitoring tools like ELK, Prometheus, Grafana

Hi,

We are looking for Self motivated, Passionate Technology enthusiasts seasoned PHP Developer (Laravel + Wordpress ) to join our team.

Job Description:

· Design, Develop, Implement, Test, Document and Maintain high quality Web Application Software.

· Understanding and implementing of project management practices.

· MVC compliant Development (Laravel/YII / CodeIgniter / Zend Framework) in at least any one of these frameworks.

· Experience with CMS framework i.e. Wordpress.

· Optimization of PHP Code and database queries and functions through Code Review and Project Review Sessions.

· Identify opportunities for process improvement and make constructive suggestions for change.

· Improve the technical competence of the team through training & development of existing and new team members.

· Provide accurate effort estimates for deliverable and be committed to the deadlines through follow-up of tasks with team members.

· Research and actively learn about new technologies and introduce them into the infrastructure.

Eligibility criteria :

· Minimum experience if 2 years in laravel and wordpress. both

· Excellent problem-solving skills and love technical challenges.

· Ability to work in a team-oriented, collaborative environment.

· Ability to manage priorities and work in a fast pace environment.

· Strong database skills, proven experience with MySQL 5 having knowledge of indexes, fulltext searches, usage of Regular Expressions in queries and more.

· Excellent knowledge of Applications Architecture and how to work with Frameworks with MVC architecture.

· Excellent Knowledge of HTML 5, CSS 3, Javascript, jQuery/Sencha etc.

· Key Skills Required : Wordpress, Laravel, CodeIgniter, Zend, Mysql, Jquery, API (Restful Service).

Interested candidates can share their updated resume at manpreet.kaur(at)chicmic.co.in

Thanks

Skills and requirements

• Experience analyzing complex and varied data in a commercial or academic setting.
• Desire to solve new and complex problems every day.
• Excellent ability to communicate scientific results to both technical and non-technical team members.

Desirable

• A degree in a numerically focused discipline such as, Maths, Physics, Chemistry, Engineering or Biological Sciences..
• Hands on experience on Python, Pyspark, SQL
• Hands on experience on building End to End Data Pipelines.
• Hands on Experience on Azure Data Factory, Azure Data Bricks, Data Lake - added advantage
• Hands on Experience in building data pipelines.
• Experience with Bigdata Tools, Hadoop, Hive, Sqoop, Spark, SparkSQL
• Experience with SQL or NoSQL databases for the purposes of data retrieval and management.
• Experience in data warehousing and business intelligence tools, techniques and technology, as well as experience in diving deep on data analysis or technical issues to come up with effective solutions.
• BS degree in math, statistics, computer science or equivalent technical field.
• Experience in data mining structured and unstructured data (SQL, ETL, data warehouse, Machine Learning etc.) in a business environment with large-scale, complex data sets.
• Proven ability to look at solutions in unconventional ways. Sees opportunities to innovate and can lead the way.
• Willing to learn and work on Data Science, ML, AI.

Java Backend

Experience : 5+ years (Immediate Joiner)

Location: Hyderabad(Remote)

• Core Java, SpringBoot, MicroServices
• DB2 or any RDBMS database application development
• Linux OS, shell scripting, Batch Processing
• Troubleshooting Large Scale application
• Experience in automation and unit test framework is a must
• AWS Cloud experience desirable
• Agile Development Experience
• Complete Development Cycle ( Dev, QA, UAT, Staging)
• Good Oral and Written Communication Skills