We are Looking for Data Modeler / GCP DevOps Engineer/GCP Data Engineer.

Must have:

Must be available to join within 20- 25 Days. Not Considering more than 25 days notice period.

Must have PF Deduction in all Past Employers.

There are 3 different roles.

Job Title: Data Modeler.

Experience: 5+ Years

Location: Pune / Hyderabad

Employment Type: Contract-to-Hire (C2H)/C2H

Job Summary

We are looking for an experienced Data Modeler with strong expertise in conceptual, logical, and physical data modeling. The ideal candidate should have hands-on experience in database design, SQL, data warehousing, and enterprise data modeling. The candidate will collaborate with data architects, data engineers, business analysts, and stakeholders to design productive, scalable, and reliable data models.

Key Responsibilities

- Design, develop, and maintain conceptual, logical, and physical data models.
- Translate business requirements into effective data structures and database designs.
- Create and maintain ER diagrams, entity relationships, data dictionaries, and metadata documentation.
- Design normalized and denormalized data models based on business and technical requirements.
- Develop data models for data warehouses, data marts, reporting, and analytical applications.
- Apply dimensional modeling concepts, including Star Schema and Snowflake Schema.
- Define entities, attributes, primary keys, foreign keys, relationships, and data constraints.
- Collaborate with data architects, data engineers, ETL developers, and business teams.
- Support source-to-target mapping and data integration initiatives.
- Review existing data models and recommend improvements to performance, scalability, and maintainability.
- Ensure data integrity, consistency, standardization, and compliance with data modeling standards.
- Support data governance, data lineage, and metadata management initiatives.
- Write and review SQL queries to validate data structures and support data analysis.
- Maintain technical documentation and follow enterprise data architecture standards.

Mandatory Skills

- Minimum 5+ years of relevant experience in Data Modeling, database design, or a closely related role.
- Strong experience in conceptual, logical, and physical data modeling.
- Good understanding of relational database concepts, normalization, and denormalization.
- Strong SQL skills, including complex queries, joins, subqueries, and query optimization.
- Experience creating ER diagrams and defining relationships between database entities.
- Understanding of data warehousing, dimensional modeling, Star Schema, and Snowflake Schema.
- Hands-on experience with data modeling tools such as ERwin, ER/Studio, SAP PowerDesigner, or equivalent.
- Knowledge of relational databases such as Oracle, SQL Server, PostgreSQL, or similar platforms.
- Understanding of ETL/ELT processes and source-to-target data mapping.
- Robust analytical, problem-solving, and communication skills.

Good-to-Have Skills

- Exposure to cloud data platforms such as AWS, Azure, or GCP.
- Knowledge of Snowflake, Databricks, Azure Synapse, or BigQuery.
- Understanding of data lakes, lakehouses, and modern data architectures.
- Knowledge of data governance, metadata management, and data lineage.
- Experience working in Agile environments.

Job Title: GCP Data Engineer

Experience: 4+ Years

Location: Pune / Hyderabad

Employment Type: Contract-to-Hire (C2H)/C2H

Job Summary

We are looking for an experienced GCP Data Engineer with hands-on expertise in Google Cloud Platform, BigQuery, SQL, Python, and data pipeline development. The candidate will be responsible for designing, developing, optimizing, and maintaining scalable data pipelines and cloud-based data processing solutions.

The ideal candidate should have experience in ETL/ELT development, data integration, data transformation, and cloud data warehousing.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines on Google Cloud Platform.
- Build ETL/ELT pipelines for batch and streaming data processing.
- Develop data ingestion and transformation solutions using Python and SQL.
- Work with BigQuery to develop, optimize, and maintain analytical datasets.
- Implement data processing solutions using GCP services such as Dataflow and Dataproc.
- Use Google Cloud Storage for data ingestion, storage, and processing.
- Develop and maintain data integration workflows from multiple source systems.
- Implement data quality checks, validation,



reconciliation, and error handling.
- Optimize BigQuery queries, partitioning, clustering, and data processing costs.
- Work with Cloud Pub/Sub for event-driven and streaming data pipelines where required.
- Use Cloud Composer or Apache Airflow for workflow orchestration where applicable.
- Troubleshoot pipeline failures and resolve performance and data consistency issues.
- Collaborate with data architects, analysts, and business stakeholders.
- Follow best practices for data security, access management, scalability, and reliability.
- Maintain technical documentation for data pipelines and data processing workflows.

Mandatory Technical Skills

- Minimum 4+ years of experience in Data Engineering or a related role.
- Hands-on experience with Google Cloud Platform (GCP).
- Strong expertise in Google BigQuery and SQL.
- Experience developing and maintaining ETL/ELT pipelines.
- Good programming skills in Python.
- Experience with Google Cloud Storage.
- Understanding of data warehousing and data modeling concepts.
- Experience with data ingestion, transformation, and integration.
- Knowledge of data quality, performance optimization, and troubleshooting.
- Ability to develop reliable and scalable data processing solutions.

Good-to-Have Skills

- Google Cloud Dataflow and Apache Beam.
- Google Cloud Dataproc and Apache Spark/PySpark.
- Cloud Pub/Sub for streaming data processing.
- Cloud Composer and Apache Airflow.
- Cloud Functions or Cloud Run.
- Git, CI/CD, and automated deployment practices.
- Terraform and Infrastructure as Code.
- Experience with data lakes, lakehouses, and modern cloud data architectures.
- Knowledge of data governance, security, and access controls.

Candidate Profile

- Strong analytical and problem-solving skills.
- Ability to develop scalable and efficient data pipelines.
- Experience collaborating with cross-functional technical teams.
- Good communication and documentation skills.
- Ability to work in an Agile development setting.

Job Title: Senior GCP DevOps Engineer

Experience: 5+ Years

Location: Pune / Hyderabad

Employment Type: Contract-to-Hire (C2H)/C2H

Job Summary

We are looking for a Senior GCP DevOps Engineer with strong hands-on experience in Google Cloud Platform, cloud infrastructure, CI/CD pipelines, Kubernetes, Terraform, and automation.

The ideal candidate should have practical experience in provisioning, deploying, monitoring, securing, and maintaining cloud infrastructure and applications on GCP. The candidate will work closely with development, infrastructure, security, and operations teams to improve deployment automation, system reliability, and operational efficiency.

Key Responsibilities

- Design, implement, and maintain cloud infrastructure on Google Cloud Platform.
- Provision and manage GCP resources using Terraform or other Infrastructure as Code tools.
- Build, maintain, and optimize CI/CD pipelines for application deployment.
- Deploy and manage containerized applications using Docker and Kubernetes.
- Manage workloads and clusters on Google Kubernetes Engine (GKE).
- Configure and manage Google Compute Engine (GCE), Cloud Storage, IAM, VPCs, subnets, and firewall rules.
- Implement automation for infrastructure provisioning, configuration, and operational tasks.
- Configure monitoring, logging, dashboards, and alerts to ensure system availability.
- Troubleshoot infrastructure, networking, deployment, and production issues.
- Implement cloud security practices, IAM policies, access controls, and secrets management.
- Manage load balancing, networking, scalability, and application availability.
- Collaborate with developers to improve build, test, release, and deployment processes.
- Support production deployments, release management, and environment configuration.
- Implement backup, disaster recovery, and high-availability solutions.
- Monitor resource utilization and optimize cloud infrastructure costs.
- Follow DevOps, DevSecOps, and Site Reliability Engineering (SRE) best practices.

Mandatory Technical Skills

- Minimum 5+ years of experience in DevOps,



Cloud Engineering, or Infrastructure Engineering.
- Strong hands-on experience with Google Cloud Platform (GCP).
- Experience with GCP services such as GKE, GCE, Cloud Storage, IAM, and VPC Networking.
- Hands-on experience with Docker and Kubernetes.
- Strong experience in CI/CD pipeline development and maintenance.
- Experience with Terraform or equivalent Infrastructure as Code tools.
- Scripting knowledge in Python, Bash, or Shell.
- Experience with Git and version control systems.
- Understanding of cloud networking, security, access management, and troubleshooting.
- Experience with monitoring, logging, and production support.
- Ability to automate infrastructure and deployment processes.

Valuable-to-Have Skills

- Google Cloud Build, Artifact Registry, and Cloud Deploy.
- Jenkins, GitLab CI/CD, or GitHub Actions.
- Helm and Kubernetes deployment automation.
- Ansible and configuration management.
- Prometheus, Grafana, and Google Cloud Monitoring.
- Terraform modules and reusable infrastructure automation.
- Cloud Run and serverless application deployment.
- DevSecOps practices and automated security checks.
- SRE principles, high availability, disaster recovery, and incident management.
- Google Cloud certifications such as Associate Cloud Engineer or Professional Cloud DevOps Engineer.

Candidate Profile

- Strong troubleshooting and analytical skills.
- Experience supporting production cloud environments.
- Ability to automate repetitive tasks and improve operational efficiency.
- Good collaboration and communication skills.
- Ability to work independently and manage cloud infrastructure responsibilities.

Interested parties can share their resume at ([email protected]) along with below details :

Candidate Details Form

Full Name (as per official documents):

Primary Contact Number

Alternate Contact Number

Primary Email ID

Alternate Email ID

Current CTC

Expected CTC

Notice Period in Current Company:

Current Employment Status (Working / Not Working):

If not working, Last Working Date:

Are you available to join within 1520 days? (Yes/No):

Current Location

Preferred Location(s)

Highest Qualification

Current Employer (Payroll Company)

All Previous Employers (Payroll Companies):

Are you currently holding any offer? (Yes/No):

Are you expecting any offer? (Yes/No):

Was PF deduction happening in all your past organizations? Please confirm (Yes/No):

Total Experience

Experience in Data Modeling, if applying for Data Modeler role.

Experience in GCP Data Engineering, If Applying for GCP Data Engineer role.

Experience in GCP DevOps, If Applying for GCP DevOps Role -

BR

Shantpriya Chandra [email protected]

Internal Use :

Data Modeler Keywords

Data Modeler, Data Modeller, Data Modeling, Data Modelling, Conceptual Data Model, Logical Data Model, Physical Data Model, SQL, ER Diagram, ERD, Database Design, Data Warehousing, Dimensional Modeling, Star Schema, Snowflake Schema, Normalization, Denormalization, ERwin, ER Studio, SAP PowerDesigner, Data Architecture, Entity Relationship Modeling, Data Dictionary, Metadata Management, Data Governance, Data Lineage, Source to Target Mapping, ETL, ELT, Oracle, SQL Server, PostgreSQL, Snowflake, Databricks, BigQuery, Azure Synapse

GCP Data Engineer Keywords

GCP Data Engineer, Google Cloud Data Engineer, Google Cloud Platform, GCP, BigQuery, SQL, Python, ETL, ELT, Data Pipelines, Data Engineering, Cloud Storage, Data Transformation, Data Ingestion, Data Warehousing, Google Cloud Dataflow, Apache Beam, Google Cloud Dataproc, Apache Spark, PySpark, Cloud Composer, Apache Airflow, Cloud Pub/Sub, Cloud Functions, Cloud Run, BigQuery Optimization, BigQuery Partitioning, BigQuery Clustering, Data Quality, Data Integration, Terraform, CI/CD, Data Lake, Lakehouse .

Senior GCP DevOps Engineer Keywords

GCP DevOps Engineer, Google Cloud DevOps Engineer, Google Cloud Platform, GCP, Terraform, Infrastructure as Code, IaC, Kubernetes, Google Kubernetes Engine, GKE, Docker, CI/CD, Jenkins, Google Cloud Build, GitLab CI/CD, Google Compute Engine, GCE, Cloud IAM, VPC Networking, Python, Bash, Shell Scripting, Cloud Monitoring, Cloud Logging, Ansible, Helm, GitHub Actions, Artifact Registry, Cloud Deploy, Load Balancing, Cloud Security, Prometheus, Grafana, DevSecOps, Site Reliability Engineering, SRE, High Availability, Disaster Recovery, Cloud Run, Configuration Management, Production Support, Infrastructure Automation

📌 Data Modeler /GCP Data Engineer /GCP DevOps Engineer - NP-max 20 Days (Hyderabad)
🏢 Harel Hr Consulting
📍 Hyderabad