Zorba is the new age analytics provider that brings data driven decision to life for its clients. We believe in getting analytics executed on ground with the client team rather than just creating complex machine learning or predictive modelling algorithms. 

We offer services across the spectrum ranging from analytics training and setting up data centres to delivering analytics based strategic consulting solutions. One of the key value adds we do is with the speed at which we deliver solutions.

Headquartered in Mumbai, Zorba was conceived with an objective of creating value for businesses in near future rather than long term. We are experts in leveraging big data, building data driven solutions and operationalizing analytics at each stage of decision making process with following key offerings: 

•	Data Visualization and Dashboard design
•	Predictive Modelling Algorithms
•	Data Management and Transformation
•	Analytics based reporting solutions
•	Marketing and Business Process Optimization

Witnessing the stories of success and failure of numerous businesses at different stages, we came to the conclusion that every business can be successful if improvisation continues relentlessly. 

We want to make this process faster and smarter for our clients in their quest for growth by hand holding through data analytics and strategic leadership for effective decision making. 

You can follow us on :
https://www.quora.com/profile/Yash-Chaudhary-516
https://www.instagram.com/zorbaconsulting/?hl=en
https://twitter.com/ConsultingZorba
https://www.facebook.com/Zorbaconsulting/

Zorba Consulting India

Job Description
**mandatory
SN
Required Information
Details
1
Role**
GCP Data Engineer
2
Required Technical Skill Set**
Data Engineer with hands-on experience in Google Cloud Platform
(GCP) services to work on implementing and managing data ingestion.
Work with services such as GCS, BigQuery, Dataflow, Composer, Data Fusion, DataProc for ETL/ELT operations
3
No of Requirements**
60+
4
Desired Experience Range**
5-12 Years
5
Location of Requirement&nbsp;
Pune, Hyderabad, Bangalore, Chennai, Gurgaon
&nbsp;
Desired Competencies (Technical/Behavioral Competency)
Must-Have**
<ul>
<li>
5+ years of experience as a Data Engineer or in a similar role.
</li>
<li>
Strong working knowledge of Google Cloud Storage (GCS), BigQuery,
</li>
</ul>
Composer, Data Fusion, Dataproc.
<ul>
<li>
Proficiency in Python for scripting, debugging, and automation tasks.
</li>
<li>
Experience with Terraform for infrastructure-as-code.
</li>
<li>
Knowledge of Git for version control.
</li>
<li>
Understanding of data ingestion concepts, file formats, and ETL workflows.
</li>
<li>
Ability to debug and resolve runtime data issues independently.
</li>
<li>
Strong problem-solving and analytical skills.
</li>
</ul>
Good-to-Have
<ul>
<li>
Exposure to TWSd or other enterprise job schedulers.
</li>
<li>
Basic understanding of SQL optimization in BigQuery.
</li>
</ul>
&nbsp;
SN
Responsibility of / Expectations from the Role&nbsp;
&nbsp;
<ul>
<li>
Configure and execute data ingestion pipelines using our reusable GCP-based
</li>
<li>
framework.
</li>
<li>
Work with services such as GCS, BigQuery, Dataflow, Composer, Data Fusion, DataProc for ETL/ELT operations.
</li>
<li>
Strong experience in data engineering/migration projects in GCP (along with Python) is required and should be able to work independently.&nbsp;&nbsp;
</li>
<li>
Manage parameters, job configurations, and metadata for ingestion.
</li>
<li>
Debug and resolve issues related to data, parameters, and job execution.
</li>
<li>
Escalate framework-related bugs to the core development team when required.
</li>
<li>
Monitor daily job runs, troubleshoot failures, and ensure SLAs are met.
</li>
<li>
Collaborate with cross-functional teams for smooth delivery.
</li>
<li>
Follow version control best practices using Git.
</li>
<li>
Maintain deployment scripts and infrastructure configurations via Terraform.
</li>
<li>
(Nice-to-have) Work with TWSd job scheduling/monitoring tools.
</li>
<li>
Suggest improvements to the framework or processes based on usage
</li>
<li>
experience.
</li>
<li>
Contribute to small enhancements in the framework, where applicable.
Job Description
**mandatory
SN
Required Information
Details
1
Role**
GCP Data Engineer
2
Required Technical Skill Set**
Data Engineer with hands-on experience in Google Cloud Platform
(GCP) services to work on implementing and managing data ingestion.
Work with services such as GCS, BigQuery, Dataflow, Composer, Data Fusion, DataProc for ETL/ELT operations
3
No of Requirements**
60+
4
Desired Experience Range**
5-12 Years
5
Location of Requirement&nbsp;
Pune, Hyderabad, Bangalore, Chennai, Gurgaon
&nbsp;
Desired Competencies (Technical/Behavioral Competency)
Must-Have**
<ul>
<li>
5+ years of experience as a Data Engineer or in a similar role.
</li>
<li>
Strong working knowledge of Google Cloud Storage (GCS), BigQuery,
</li>
</ul>
Composer, Data Fusion, Dataproc.
<ul>
<li>
Proficiency in Python for scripting, debugging, and automation tasks.
</li>
<li>
Experience with Terraform for infrastructure-as-code.
</li>
<li>
Knowledge of Git for version control.
</li>
<li>
Understanding of data ingestion concepts, file formats, and ETL workflows.
</li>
<li>
Ability to debug and resolve runtime data issues independently.
</li>
<li>
Strong problem-solving and analytical skills.
</li>
</ul>
Good-to-Have
<ul>
<li>
Exposure to TWSd or other enterprise job schedulers.
</li>
<li>
Basic understanding of SQL optimization in BigQuery.
</li>
</ul>
&nbsp;
SN
Responsibility of / Expectations from the Role&nbsp;
&nbsp;
<ul>
<li>
Configure and execute data ingestion pipelines using our reusable GCP-based
</li>
<li>
framework.
</li>
<li>
Work with services such as GCS, BigQuery, Dataflow, Composer, Data Fusion, DataProc for ETL/ELT operations.
</li>
<li>
Strong experience in data engineering/migration projects in GCP (along with Python) is required and should be able to work independently.&nbsp;&nbsp;
</li>
<li>
Manage parameters, job configurations, and metadata for ingestion.
</li>
<li>
Debug and resolve issues related to data, parameters, and job execution.
</li>
<li>
Escalate framework-related bugs to the core development team when required.
</li>
<li>
Monitor daily job runs, troubleshoot failures, and ensure SLAs are met.
</li>
<li>
Collaborate with cross-functional teams for smooth delivery.
</li>
<li>
Follow version control best practices using Git.
</li>
<li>
Maintain deployment scripts and infrastructure configurations via Terraform.
</li>
<li>
(Nice-to-have) Work with TWSd job scheduling/monitoring tools.
</li>
<li>
Suggest improvements to the framework or processes based on usage
</li>
<li>
experience.
</li>
<li>
Contribute to small enhancements in the framework, where applicable.
Job Description
**mandatory
SN
Required Information
Details
1
Role**
GCP Data Engineer
2
Required Technical Skill Set**
Data Engineer with hands-on experience in Google Cloud Platform
(GCP) services to work on implementing and managing data ingestion.
Work with services such as GCS, BigQuery, Dataflow, Composer, Data Fusion, DataProc for ETL/ELT operations
3
No of Requirements**
60+
4
Desired Experience Range**
5-12 Years
5
Location of Requirement&nbsp;
Pune, Hyderabad, Bangalore, Chennai, Gurgaon
&nbsp;
Desired Competencies (Technical/Behavioral Competency)
Must-Have**
<ul>
<li>
5+ years of experience as a Data Engineer or in a similar role.
</li>
<li>
Strong working knowledge of Google Cloud Storage (GCS), BigQuery,
</li>
</ul>
Composer, Data Fusion, Dataproc.
<ul>
<li>
Proficiency in Python for scripting, debugging, and automation tasks.
</li>
<li>
Experience with Terraform for infrastructure-as-code.
</li>
<li>
Knowledge of Git for version control.
</li>
<li>
Understanding of data ingestion concepts, file formats, and ETL workflows.
</li>
<li>
Ability to debug and resolve runtime data issues independently.
</li>
<li>
Strong problem-solving and analytical skills.
</li>
</ul>
Good-to-Have
<ul>
<li>
Exposure to TWSd or other enterprise job schedulers.
</li>
<li>
Basic understanding of SQL optimization in BigQuery.
</li>
</ul>
&nbsp;
SN
Responsibility of / Expectations from the Role&nbsp;
&nbsp;
<ul>
<li>
Configure and execute data ingestion pipelines using our reusable GCP-based
</li>
<li>
framework.
</li>
<li>
Work with services such as GCS, BigQuery, Dataflow, Composer, Data Fusion, DataProc for ETL/ELT operations.
</li>
<li>
Strong experience in data engineering/migration projects in GCP (along with Python) is required and should be able to work independently.&nbsp;&nbsp;
</li>
<li>
Manage parameters, job configurations, and metadata for ingestion.
</li>
<li>
Debug and resolve issues related to data, parameters, and job execution.
</li>
<li>
Escalate framework-related bugs to the core development team when required.
</li>
<li>
Monitor daily job runs, troubleshoot failures, and ensure SLAs are met.
</li>
<li>
Collaborate with cross-functional teams for smooth delivery.
</li>
<li>
Follow version control best practices using Git.
</li>
<li>
Maintain deployment scripts and infrastructure configurations via Terraform.
</li>
<li>
(Nice-to-have) Work with TWSd job scheduling/monitoring tools.
</li>
<li>
Suggest improvements to the framework or processes based on usage
</li>
<li>
experience.
</li>
<li>
Contribute to small enhancements in the framework, where applicable.
</li>
</ul>
</li>
</ul>
</li>
</ul>