gcp data engineer

Redlinux

Freelancing OpportunityJob Title: Senior GCP Data EngineerExperience: 7+ YearsJob SummaryWe are seeking a highly experienced GCP Data Engineer with strong expertise in BigQuery, Cloud SQL, Apache Airflow, and Apache NiFi. The ideal candidate will design, build, and maintain scalable data pipelines and cloud-based data platforms, ensuring high performance, reliability, and data quality.Key Responsibilities<ul><li>Design, develop, and optimize data pipelines on Google Cloud Platform (GCP).</li><li>Build and manage large-scale data solutions using BigQuery and Cloud SQL.</li><li>Orchestrate workflows and data pipelines using Apache Airflow.</li><li>Develop, manage, and optimize data ingestion and flow using Apache NiFi.</li><li>Ensure data accuracy, consistency, and performance across pipelines.</li><li>Implement monitoring, logging, and troubleshooting for data workflows.</li><li>Collaborate with data analysts, data scientists, and application teams.</li><li>Apply best practices for security, cost optimization, and scalability on GCP.</li><li>Support production issues and perform root cause analysis.</li></ul>Required Skills &amp; Qualifications<ul><li>7+ years of experience in data engineering or cloud data platforms.</li><li>Strong hands-on experience with GCP services, especially BigQuery and Cloud SQL.</li><li>Extensive experience with Apache Airflow for workflow orchestration.</li><li>Strong experience with Apache NiFi for data ingestion and integration.</li><li>Proficiency in SQL and Python.</li><li>Experience with ETL/ELT design, data modeling, and performance tuning.</li><li>Familiarity with CI/CD pipelines and version control (Git).</li><li>Strong problem-solving and communication skills.</li></ul>Job Types: Part-time, Freelance Contract length: 12 monthsPay: ₹30,000.00 - ₹40,000.00 per monthBenefits:<ul><li>Work from home</li></ul>Experience:<ul><li>total work: 7 years (Required)</li></ul>Shift availability:<ul><li>Night Shift (Required)</li><li>Overnight Shift (Required)</li></ul>Work Location: Remote

GCP Data Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div>TCS Hiring for GCP Data Engineer/Architect at Hyderabad, Delhi, Mumbai, Pune, Bangalore, Chennai locations!!

Exp Range- 8 to 12 Years

Key Technical Skills:

<ul><li>Google Certified Professional Cloud Architect</li>
<li>Five or more years of hands-on experience designing available, cost efficient, fault tolerant, and scalable distributed systems on Google Cloud Platform</li>
<li>In-depth knowledge of at least one high-level programming language, python preferred</li>
<li>Ability to identify and define requirements for a Google Cloud Platform based application</li>
<li>Experience with deploying Hybrid Systems with On-Premises and Google Cloud Platform components</li>
<li>Capability to provide best practices for building secure and reliable applications on the Google Cloud Platform</li>
<li>Demonstrated skills in leadership, communication, coaching, analysis, problem solving and short term and long-term planning</li>
</ul></div></div></div><div><div><div>Location</div>
<div>Delhi</div>
</div><div><div>Job Function</div>
<div>CONSULTANCY</div>
</div><div><div>Role</div>
<div>Engineer</div>
</div><div><div>Job Id</div>
<div>387100</div>
</div><div><div>Desired Skills</div>
<div>GCP - IT Service Management Consulting | Google API</div>
</div></div>Desired Candidate Profile
<div><div>Qualifications : BACHELOR OF ENGINEERING</div></div></div><div></div>

GCP Data Engineer/Architect

Cognizant Technology Solutions

<div>Job Title: - GCP Data Engineer with Big Query
 
Location: - AIA Pune 
Job Type 3 days from office (Hybrid)
Minimum 6 to 13 years of experience
Mandatory Skills: GCP Services &ndash; Big Query, Cloud SQL, Data flow 
Around 7+ years of experience in development in Data warehousing projects in GCP platforms, 
Good understanding of dimensional modelling 
Expertise in MySQL &amp; SQL/PL 
GCP &amp; BigQuery knowledge is must, GCP certification is added advantage 
Good experience in Cloud Composer, DAGs , airflow 
REST API development experience 
Good in analytical and problem solving, efficient communication 
Ability to lead the team members, convert requirements into technical solutions, assign the work, coordinate the team and review the deliverables and ensure on schedule.</div>

GCP Data Engineer with Big Query

<div><div>AIA-Pune</div> 
Job Summary
We are seeking a skilled Developer with 4 to 8 years of experience to join our team in a hybrid work model. The ideal candidate will have expertise in Dataplex and Data Catalog contributing to our data management and analytics projects. This role involves working in a collaborative environment to enhance data solutions and drive business insights. 
Responsibilities<ul><li>
Develop and implement data management solutions using Dataplex to optimize data storage and retrieval processes.</li><li>
Collaborate with cross-functional teams to integrate Data Catalog for efficient data discovery and governance.</li><li>
Ensure data quality and consistency across various platforms by implementing robust data validation techniques.</li><li>
Provide technical support and troubleshooting for data-related issues ensuring minimal disruption to business operations.</li><li>
Design and maintain data pipelines to support analytics and reporting needs enhancing decision-making capabilities.</li><li>
Conduct regular assessments of data infrastructure to identify areas for improvement and implement necessary changes.</li><li>
Work closely with stakeholders to understand data requirements and translate them into actionable solutions.</li><li>
Monitor data usage and performance metrics to ensure optimal system functionality and user satisfaction.</li><li>
Stay updated with the latest industry trends and technologies to continuously improve data management practices.</li><li>
Document processes and procedures to ensure knowledge sharing and compliance with organizational standards.</li><li>
Participate in code reviews and provide constructive feedback to peers fostering a culture of continuous improvement.</li><li>
Collaborate with data scientists and analysts to support advanced analytics and machine learning initiatives.</li><li>
Contribute to the companys purpose by enabling data-driven insights that impact strategic decision-making.</li></ul> 
Qualifications<ul><li>
</li><li>Possess strong expertise in Dataplex and Data Catalog with a proven track record of successful implementations.</li><li>
Demonstrate excellent problem-solving skills and the ability to work independently and collaboratively.</li><li>
Have a solid understanding of data governance principles and best practices.</li><li>
Exhibit proficiency in programming languages such as Python or Java for data manipulation and analysis.</li><li>
Show experience with cloud platforms particularly Google Cloud to leverage scalable data solutions.</li><li>
Display strong communication skills to effectively convey technical concepts to non-technical stakeholders.</li></ul> 
Certifications Required
Google Cloud Professional Data Engineer Certification</div>

<div>Description - External
We are Cognizant AIA - Artificial Intelligence and Analytics !!
About AI &amp; Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI &amp; Analytics, we work to design the future&mdash;a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies! By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models! Cognizant&rsquo;s AIA practice takes insights that are buried in data and provide businesses with a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
Job Summary
Data Engineer(GCP)
4 to 6+ years of experience in Data Engineering, with at least 2 years in GCP.
Strong hands-on exp in Teradata data warehousing, BTEQ, and complex SQL.
Solid knowledge of GCP services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Composer, and Dataproc.
Experience with ETL/ELT pipelines using custom scripting tools (Python/Java).
Proven ability to refactor and translate legacy logic from Teradata to GCP.
Familiarity with CI/CD, GIT, Argo CD, and DevOps practices in cloud data envi
Experience : 6to10Yrs
Required Skills : Teradata,Python,Big Data,Google Big Query,Google Cloud DataProc,Google Cloud SQL,Google Cloud Composer,Google Cloud Pub/Sub
#LI-KN1
Salary and Other Compensation:
Applications will be accepted until January 5th 2026. The annual salary for this position is between $100- $120K depending on experience and other qualifications of the successful candidate.
Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
This position is also eligible for Cognizant&rsquo;s discretionary annual incentive program, based on performance and subject to the terms of Cognizant&rsquo;s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:&middot; Medical/Dental/Vision/Life Insurance&middot; Paid holidays plus Paid Time Off&middot; 401(k) plan and contributions&middot; Long-term/Short-term Disability&middot; Paid Parental Leave&middot; Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.</div>

Data Engineer (GCP)

Artefact

<div>
 
 
 Data Engineer:
 
 
 
 
 
 
 
 The Team
 
 
 
 For most tech people of our Data &amp; Consulting division, the title of &ldquo;Data engineer&rdquo; or &ldquo;Software engineer&rdquo; does not describe everything our amazing women and men can do: data engineering, operation management, security, cloud architecture, MLOps, and more.
 
 
 
 
 
 Presenting in every office of Artefact, working seamlessly with our consultants and data experts, our Data &amp; Software engineers are the ones who make our data projects come true.
 
 
 
 
 
 
 Mission
 
 
 
 You will work with the team to identify your clients' needs and define innovative solutions of which you will be ownership from start to end. You manage both its conception and implementation, while also optimising the performance and scalability.
 
 
 
 
 
 You will also coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Microsoft, Google &amp; Amazon. You share your knowledge, learnings and success, with the capability of presenting and communicating.
 
 
 
 
 
 
 Data Engineer Desirable Skills:
 
 
 <ul>
 <li>
 Excellent communication &amp; a consultative/problem-solving approach
 </li>
 <li>
 Strong programming skills (SQL &amp; Python) is a MUST
 </li>
 <li>
 Data modeling and modern data platform design concepts
 </li>
 <li>
 Building and maintaining data platforms in Azure/AWS or GCP
 </li>
 <li>
 Experience building scalable and robust data pipelines
 </li>
 <li>
 Experience with dealing with data security in Azure/AWS or GCP
 </li>
 </ul>
</div>

Data Engineer

Yugn

About the role:We are seeking a talented Data Engineer to join our growing data team. The ideal candidate will have strong expertise in Google Cloud Platform (GCP), BigQuery, Python, and SQL, and will be responsible for designing and maintaining scalable data solutions that power business insights.Responsibility:Design, develop, and maintain robust data pipelines and ETL workflows.Manage large-scale datasets using GCP and BigQuery for optimal performance.Write clean, efficient Python and SQL code for data processing and transformation.Collaborate with data analysts, scientists, and business teams to ensure data quality and availability.Optimize workflows for scalability, cost-efficiency, and performance.Skills/Qualifications:3&ndash;4 years of professional experience as a Data Engineer.Hands-on expertise in GCP, BigQuery, Python, and SQL.Strong understanding of data warehousing concepts, ETL processes, and cloud architecture.Proficiency in data modeling, performance tuning, and query optimization.Familiarity with CI/CD pipelines, version control (Git), and workflow orchestration tools (e.g., Airflow).Excellent problem-solving skills, attention to detail, and ability to work in cross-functional teams.Strong communication and collaboration skills.Nice-to-Have:Experience with Apache Spark for distributed data processing.Knowledge of Kubernetes for container orchestration and deployment.Exposure to Machine Learning pipelines and integration with data workfloJob Types: Full-time, PermanentPay: ₹1,200,000.00 - ₹2,500,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Work Location: In person

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