Urgent! Data Engineer - Google Cloud Platform Job Opening In Pune – Now Hiring Cling Multi Solutions
<p><b>Role : GCP Data Engineer</b><br/><br/>Work Location : Pune, look for local candidates if possible<br/><br/>Work Mode : Hybrid<br/><br/><b>Description : </b><br/><br/>The Data & Analytics Delivery team, within the Group Technology business function, are onboarding Local Markets on to a bespoke Google Cloud Platform (GCP) and expanding its usage to encompass other business functions and projects.<br/><br/>The project migrates an on prem ETL solution on to Google Cloud, covering the entire Telecoms business.
Project leverages existing data repositories and rapid, agile delivery to provision Visualizations and Machine Learning, within rich digital apps.
The project delivers early, tangible value and helps the Local Market to be first adopters of Next Generation solutions and technology.<br/><br/>Project's key strengths are its fast delivery, world-class cloud platforms and user-friendly designs, enabling access to massive datasets in secure and fast apps.<br/><br/><b>Job Responsibility : </b><br/><br/>- This position requires a highly motivated and experienced person with ETL and database development skills.
The GCP Senior Data Engineer is a software engineer specialized in data integration solutions in Google Cloud, including technologies to use and scalability of different solutions.
Typically reports to the Chapter Lead.<br/><br/>Core competencies, knowledge, and experience : <br/><br/>- About 6 years of total experience in ETL, 3-4 years on Oracle Data Integrator (ODI), 1 year on GCP Big Query, Dataform, Composer, Cloud Run etc..<br/><br/>- Advanced English level, ability to communicate effectively in English.<br/><br/>- Ability to writing PL/SQL code that manage the logic of the extraction from Source to Stage to Target layers.<br/><br/>- Understanding of Teradata Physical model methodology, hence some understanding about historization (Type 1 and Type 2) and normalization is need.<br/><br/>- Writing some Python code for Composer/Apache Airflow.<br/><br/>- Data mapping specification writing skills.<br/><br/>- Experience of integration projects on large-scale environment ETL technical design, development, in-depth understanding of large-scale data e.g., DWH and their best practices and principles.<br/><br/>- Experience in working in multi-project and multi-programme environment<br/><br/>- Good communicator, Team players, Strong problem solver, demonstrate a high degree of ownership and Ability to multi-task and build solutions co-operatively<br/><br/>Bonus : <br/><br/>- Experience working in an Agile software development workplace <br/><br/>- Experience in CI/CD development & familiar with Jenkins<br/><br/>- Experience implementing Data Quality in ETL pipelines<br/><br/>- Has good knowledge of Telecom & BSS systems - Prepaid, Post-paid, CRM etc.<br/><br/>- International projects expertise<br/><br/>With us you will : <br/><br/>- Work with the most innovative and most scalable data processing and cloud technologies<br/><br/>- Build innovative state-of-the-art solutions with our stakeholders<br/><br/>- Work in an agile and dynamic environment together with our team with our architects, product owners, data scientists, data analysts and data engineers<br/><br/>- Play a key role in shaping the data integration solution and formulate methodologies to optimize the current and future processes<br/><br/>Vodafone is committed to attracting, developing, and retaining the very best people by offering a motivating and inclusive workplace in which talent is truly recognised and rewarded.
We are committed to promoting Inclusion for All with the belief that diversity plays an important role in the success of our business.
We actively encourage everyone to consider becoming a part of our journey.<br/><br/><b>Required Skills : </b><br/><br/>- ETL<br/><br/>- ODI - Oracle Data Integrator<br/><br/>- GCP - Big Query, Airflow / Cloud Composer, Dataforms, Cloud Run etc.<br/><br/>- Data Modelling<br/><br/>- Data Management and Transformation<br/><br/>- Implementation and Integration<br/><br/>- Coding<br/><br/>- Testing and Evaluation</p> (ref:hirist.tech)
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Pune, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Pune, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 632808 jobs in India and 15082 jobs in Pune. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Cling Multi Solutions is currently hiring and seeking a Data Engineer Google Cloud Platform to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Engineer Google Cloud Platform Jobs Pune.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Cling Multi Solutions adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Google Cloud Platform Jobs India varies, but the pay scale is rated "Standard" in Pune. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineer Google Cloud Platform typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Data Engineer Google Cloud Platform interview at Cling Multi Solutions, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Cling Multi Solutions's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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