GCP Data Engineer at Cymetrix Software · Remote only · 3 - 7 years · ₹8L - ₹20L / yr · Profitable · Remote only · Posted 13 Mar 2026
PythonMust have skills:
1. GCP - GCS, PubSub, Dataflow or DataProc, Bigquery, Airflow/Composer, Python(preferred)/Java
2. ETL on GCP Cloud - Build pipelines (Python/Java) + Scripting, Best Practices, Challenges
3. Knowledge of Batch and Streaming data ingestion, build End to Data pipelines on GCP
4. Knowledge of Databases (SQL, NoSQL), On-Premise and On-Cloud, SQL vs No SQL, Types of No-SQL DB (At least 2 databases)
5. Data Warehouse concepts - Beginner to Intermediate level
Role & Responsibilities:
● Work with business users and other stakeholders to understand business processes.
● Ability to design and implement Dimensional and Fact tables
● Identify and implement data transformation/cleansing requirements
● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data
from various systems to the Enterprise Data Warehouse
● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical
data definitions
● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique
● Provide research, high-level design, and estimates for data transformation and data integration from source
applications to end-user BI solutions.
● Provide production support of ETL processes to ensure timely completion and availability of data in the data
warehouse for reporting use.
● Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate,
design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and
data quality.
● Work collaboratively with key stakeholders to translate business information needs into well-defined data
requirements to implement the BI solutions.
● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into
reporting & analytics.
● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.
● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers,
quality issues, and continuously validate reports, dashboards and suggest improvements.
● Train business end-users, IT analysts, and developers.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Cymetrix Software
About
Cymetrix is a global CRM and Data Analytics consulting company. It has expertise across industries such as manufacturing, retail, BFSI, NPS, Pharma, and Healthcare. It has successfully implemented CRM and related business process integrations for more than 50+ clients.
Catalyzing Tangible Growth: Our pivotal role involves facilitating and driving actual growth for clients. We're committed to becoming a catalyst for dynamic transformation within the business landscape.
Niche focus, limitless growth: Cymetrix specializes in CRM, Data, and AI-powered technologies, offering tailored solutions and profound insights. This focused approach paves the way for exponential growth opportunities for clients.
A Digital Transformation Partner: Cymetrix aims to deliver the necessary support, expertise, and solutions that drive businesses to innovate with unwavering assurance. Our commitment fosters a culture of continuous improvement and growth, ensuring your innovation journey is successful.
The Cymetrix Software team is under the leadership of agile, entrepreneurial, and veteran technology experts who are devoted to augmenting the value of the solutions they are delivering.
Our certified team of 150+ consultants excels in Salesforce products. We have experience in designing and developing products and IPs on the Salesforce platform enables us to design industry-specific, customized solutions, with intuitive user interfaces.
Candid answers by the company
Cymetrix is a global CRM and Data Analytics consulting company. It has expertise across industries such as manufacturing, retail, BFSI, NPS, Pharma, and Healthcare. It has successfully implemented CRM and related business process integrations for more than 50+ clients.
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PythonJob Summary
Role Overview
We are looking for an experienced Data Engineer with strong expertise in Python, ETL, Advanced SQL, CI/CD, DevOps, and Data Analytics. The ideal candidate should have hands-on experience designing and developing scalable data pipelines, transforming large datasets, and supporting data-driven applications.
Experience with Google Cloud Platform (GCP) will be an added advantage.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines using Python and SQL.
- Develop complex and optimized SQL queries, stored procedures, and data transformations.
- Build and maintain reliable data integration workflows across multiple data sources.
- Perform data cleansing, validation, transformation, and quality checks.
- Analyze data and provide insights to support business and technical requirements.
- Implement and maintain CI/CD pipelines for data engineering applications.
- Work with DevOps practices and tools to automate deployments, monitoring, and infrastructure processes.
- Troubleshoot data pipeline failures, performance issues, and production incidents.
- Optimize data processing workflows for performance, scalability, and reliability.
- Collaborate with Data Analysts, Data Scientists, Developers, and other stakeholders.
- Follow best practices for version control, testing, documentation, and deployment.
- Contribute to cloud-based data engineering initiatives, preferably on GCP.
Required Skills
- 5–7 years of hands-on experience in Data Engineering.
- Strong programming skills in Python.
- Strong expertise in Advanced SQL and database concepts.
- Hands-on experience with ETL/ELT processes and data pipelines.
- Good understanding of Data Warehousing and Data Modeling concepts.
- Experience with CI/CD practices and tools.
- Strong understanding of DevOps principles, automation, and deployment processes.
- Strong data analytics and problem-solving skills.
- Experience working with large datasets and performance optimization.
- Good understanding of Git/version control and software development best practices.
Good to Have
- Hands-on experience with Google Cloud Platform (GCP).
- Exposure to GCP data services such as BigQuery, Cloud Storage, Dataflow, Composer, or Pub/Sub.
- Experience with containerization/orchestration technologies such as Docker/Kubernetes.
- Experience with workflow orchestration tools such as Airflow.
- Knowledge of cloud-based data architecture and distributed data processing.
Preferred Candidate Profile
- Strong analytical and problem-solving abilities.
- Good communication and stakeholder management skills.
- Ability to work independently as well as in a collaborative team environment.
- Strong ownership of data pipelines and production systems.
- Candidates who can join at short notice are preferred.
Mandatory Skills
Data Engineer, Python , ETL, GCP, Advanced SQL, Strong Data Analytics skills, CICD, Devops
PythonRole Overview
We are looking for a GCP Data Engineer with 10+ years of experience to design, develop, and optimize scalable cloud-based data solutions. The ideal candidate will have strong hands-on expertise in GCP, BigQuery, and advanced SQL, with experience building data pipelines and working with large-scale datasets.
Key Responsibilities
- Design and develop scalable data pipelines and ETL/ELT processes on GCP.
- Build, optimize, and maintain data solutions using Google BigQuery.
- Develop complex SQL queries for data transformation, aggregation, and analysis.
- Design efficient data models and optimize pipelines for performance, scalability, and cost.
- Integrate data from multiple sources and ensure data quality, reliability, and availability.
- Troubleshoot pipeline and data issues and drive continuous improvement.
- Collaborate with data architects, analysts, application teams, and business stakeholders.
- Follow best practices for cloud security, data governance, testing, and documentation.
Required Skills
- 8+ years of Data Engineering experience
- Strong hands-on experience with GCP, Django, and MongoDB
- Extensive experience with BigQuery
- Advanced SQL skills
- Strong understanding of ETL/ELT and data pipeline development
- Data modeling and data warehousing experience
- Experience handling large-scale datasets and performance optimization
- Strong problem-solving and communication skills
Good to Have
- GCP services such as Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, or Cloud Functions
- Python or other data engineering languages
- Experience with data governance and security
- Agile development experience
PythonData Engineer Short Hiring Post
🚨 Hiring: Data Engineer
🔹 Experience: 5–9 Years
🔹 Location: Bangalore / Hyderabad
🔹 Skills: PySpark, Python, SQL, ETL, CI/CD, Data Modeling
🔹 Process: L1 Virtual → L2 F2F Karat Test
🔹 F2F: Bangalore / Hyderabad Location
🔹 Positions: Immediate requirement
⚠️ Note: Candidates must be available for F2F Karat immediately after L1.
#Hiring #DataEngineer #PySpark #Python #SQL #BangaloreJobs #HyderabadJobs #Mphasis #ImmediateJoiners
PythonJob Description – Senior GCP Data Engineer
Position: Senior GCP Data Engineer
Experience: 8+ Years
Budget: Up to 30 LPA
Location: Bangalore / Hyderabad
Relocation: Candidates from Chennai / Pune willing to relocate are also welcome.
Notice Period: Immediate to 15 Days
Interview Process:
- Round 1: Virtual Interview
- Round 2 / DM Round: Face-to-Face Interview
Required Skills
- Strong hands-on experience in GCP Data Engineering.
- Good programming experience in Python.
- Strong experience with PySpark / Apache Spark.
- Proficiency in SQL and database concepts.
- Experience in developing and maintaining data pipelines.
- Good understanding of data processing, transformation, and integration.
- Experience in handling large-scale data processing.
- Strong problem-solving and debugging skills.
- Good understanding of cloud-based data engineering concepts.
- Experience in optimizing data pipelines for performance and scalability.
Preferred Skills
- Previous experience in a Lead Data Engineer role.
- Experience in technical leadership, mentoring, and guiding team members.
- Ability to collaborate with cross-functional teams and deliver data engineering solutions.
Roles & Responsibilities
- Design, develop, and maintain scalable data pipelines using GCP.
- Develop data processing and transformation workflows using Python and PySpark.
- Write and optimize SQL queries for efficient data processing.
- Build and maintain reliable data engineering solutions.
- Troubleshoot data pipeline issues and optimize performance.
- Ensure data quality, reliability, and scalability.
- Collaborate with stakeholders and team members to deliver project requirements.
- Lead and guide team members where applicable.
- Important: Candidates must have strong Senior Data Engineer experience. Lead experience is preferred but not mandatory.
PythonExperience: 6+ years overall Data Engineering experience.
Must-have — candidates should have hands-on experience in ALL of these:
- GCP (Google Cloud Platform) – strong hands-on experience
- Python – data engineering/ETL development
- SQL – advanced SQL, query optimization, data transformation
- BigQuery – strong hands-on experience with development, optimization and data warehousing
- Data Engineering / ETL – building and maintaining data pipelines
- GCP data services – preferably Cloud Storage, Dataflow, Pub/Sub, Composer/Airflow, etc.
- Data warehousing / dimensional modeling
PythonGCP Data Engineer
Job Description
Experience: 4-10 Years Location: Bangalore, India Employment:
Role Overview
We are seeking a GCP Data Engineer to design, build and maintain data systems on Google Cloud Platform. The role focuses on building pipelines with BigQuery, Dataflow and Pub/Sub, managing cloud storage, and enabling real-time data processing for fast, reliable analytics.
Key Responsibilities
• Design, develop and maintain scalable batch and real-time data pipelines on GCP.
• Build ETL/ELT pipelines with rollback strategies, bad-record handling and performance optimization.
• Design end-to-end data integration flows across systems.
• Design scalable fact/dimension schemas in cloud data warehouses.
• Handle structured, semi-structured and unstructured data at scale.
• Implement data quality checks, security and compliance policies; protect sensitive information.
• Optimize data systems by identifying bottlenecks, tuning queries and adopting new technologies.
• Collaborate with data scientists, analysts and business stakeholders to deliver tailored data solutions.
Technical Skills
• GCP Services: Cloud Run functions, Cloud Scheduler, Workflows, Pub/Sub, GCS, Dataflow, BigQuery, Cloud Build.
• Programming: Strong SQL / PL-SQL, Python and object-oriented languages (Java, Python); API development.
• CI/CD: Deployment using GitHub Actions and Jenkins.
• Data Modelling: Top-down and bottom-up database design, data masking, normalization, denormalization, dimensional modeling.
• Big Data & Streaming: Streaming architectures, NoSQL stores and key-value databases under high concurrency and volume.
Qualifications
• Bachelor's degree in Computer Science, IT, Engineering or a related field.
• 4-10 years of data engineering experience with hands-on GCP delivery.
• Strong problem-solving, communication and stakeholder management skills.
• GCP Professional Data Engineer certification preferred.
Sourcing Preference
• Priority 1: Internal profiles (TCSers).
• Priority 2: If no suitable internal profile is identified, external candidates available for immediate joining.
Desirable Skills:
Keyword:
Skills: Digital : Python~Digital : NOSQL~Digital : Google Cloud
Experience Required: 6-8
Python🚀 Hiring: Senior GCP Data Engineer
We are looking for experienced Senior Data Engineers with strong hands-on expertise in Google Cloud Platform (GCP), Python, PySpark, and SQL. Candidates with team lead experience will be preferred.
📌 Job Details:
- Role: Senior GCP Data Engineer
- Experience: 8+ Years
- Budget: Up to ₹30 LPA
- Location: Bangalore / Hyderabad
- Relocation: Candidates from Chennai and Pune willing to relocate are welcome.
- Notice Period: Immediate to 15 days
- Interview Process: L1 – Virtual | L2 / DM – Face-to-Face (F2F)
💻 Required Technical Skills:
- Strong hands-on experience with GCP data engineering.
- Excellent proficiency in Python, PySpark, and SQL.
- Experience in designing, developing, and optimizing data pipelines.
- Good understanding of ETL/ELT processes and large-scale data processing.
- Experience working with cloud-based data platforms and data warehousing.
- Strong analytical, problem-solving, and communication skills.
⭐ Preferred Skills:
- Previous experience as a Technical Lead or leading a data engineering team.
- Knowledge of GCP services such as BigQuery, Dataproc, Dataflow, and Cloud Storage.
PythonJob Description
We are looking for an experienced Data Engineer with strong expertise in Python, ETL, SQL, CI/CD, and DevOps to design, develop, and maintain scalable data pipelines and data processing solutions.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Develop data processing solutions using Python.
- Write complex and optimized SQL queries, stored procedures, and data transformations.
- Build and maintain data ingestion and integration workflows.
- Implement data quality, validation, monitoring, and error-handling processes.
- Develop and maintain CI/CD pipelines for data engineering applications.
- Work with DevOps tools and practices for automated build, deployment, and infrastructure management.
- Collaborate with data analysts, data scientists, software engineers, and business teams.
- Optimize data pipelines for performance, reliability, and scalability.
- Troubleshoot production data issues and ensure timely resolution.
- Follow best practices for version control, code quality, testing, and deployment.
Mandatory Skills
- Python
- ETL
- SQL
- CI/CD
- DevOps
- Git / Version Control
- Strong problem-solving and debugging skills
PythonExperience: 5+ Years
Employment Type: Full-Time
Role Overview
We are looking for an experienced GCP Data Engineer with 5+ years of experience in data engineering and strong hands-on expertise in Google BigQuery, Google Cloud Storage (GCS), Airflow/Cloud Composer, Python, and Vertex AI. The candidate should be capable of designing, developing, and maintaining scalable data pipelines and cloud-based data solutions on Google Cloud Platform.
Key Skills – Mandatory
- BigQuery – Strong hands-on experience in data warehousing, SQL, optimization, and performance tuning.
- Google Cloud Storage (GCS) – Experience with data storage, file management, and integration with data pipelines.
- Airflow / Cloud Composer – Experience in developing, scheduling, monitoring, and managing data workflows.
- Python – Strong programming skills for data engineering, ETL/ELT development, automation, and pipeline implementation.
- Vertex AI – Experience working with ML/AI workflows, model integration, or data pipelines supporting AI/ML solutions.
Good to Have / Added Advantage
- Dataproc – Experience with distributed data processing and Spark-based workloads.
- Cloud Data Fusion – Experience in building and managing data integration pipelines.
- Cloud Run – Understanding of deploying and running containerized applications/services on GCP.
- Experience with ETL/ELT processes and data pipeline development.
- Knowledge of GCP data architecture and cloud-native services.
- Experience in data quality, validation, monitoring, and troubleshooting.
Responsibilities
- Design, develop, and maintain scalable GCP-based data pipelines.
- Build and optimize data solutions using BigQuery and Cloud Storage.
- Develop and manage workflows using Airflow / Cloud Composer.
- Write efficient and reusable Python code for data processing and automation.
- Support Vertex AI integrations and AI/ML data workflows.
- Monitor pipeline performance and troubleshoot data processing issues.
- Work with cross-functional teams to understand data requirements and deliver reliable solutions.
- Implement best practices for data security, quality, scalability, and performance.
You must have :
- 5+ years of overall experience in Data Engineering.
- Strong hands-on experience with BigQuery, GCS, Airflow/Cloud Composer, Python, and Vertex AI.
- Strong understanding of data engineering concepts, ETL/ELT, data pipelines, and cloud technologies.
- Dataproc, Data Fusion, and Cloud Run experience will be an added advantage.
PythonGCP Data engineer (L1 virtual, L2 or DM F2F )
GCP + Python + Pyspark + sql + Lead
8+yrs
Bangalore/hyderabad location ( relocation profiles also from Chennai pune location)
immediate to 15days
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon