GCP Data Engineer at Capco Singapore

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, GCP, BigQuery, ETL, ELT, Data Warehousing, Data Pipelines, Data Quality, Problem Solving, Communication, Teamwork, Cloud Composer, Dataflow, Git, Google Cloud Certification

Industry

Financial Services

Description

About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Job Summary: We are looking for an enthusiastic GCP Data Engineer to join our dynamic and growing project team. In this role, you will have the opportunity to develop your skills while contributing to large-scale data projects on Google Cloud Platform. You will work closely with senior engineers and data analysts to build and maintain robust data pipelines, helping to turn raw data into actionable insights. This is an excellent opportunity for a foundational career in data engineering within a supportive and collaborative environment. Key Responsibilities: · Develop, test, and maintain data pipelines and ETL/ELT processes using Python, SQL, and GCP services. · Write and optimize complex SQL queries in BigQuery for data transformation, extraction, and analysis. · Assist in the design and implementation of data models within our data warehouse. · Collaborate with the broader project team to understand data requirements and deliver effective solutions. · Troubleshoot and resolve issues in data pipelines and data quality to ensure accuracy and availability. · Contribute to documentation and adhere to data engineering best practices. · Support the team in various data-related tasks and be eager to learn new technologies and techniques. Required Qualifications: · Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. · 3-8 years of hands-on experience with strong programming skills in Python for data manipulation and processing. · Proficiency in SQL for querying and data transformation. · Hands-on experience or significant project work with Google Cloud Platform (GCP). · Familiarity with core GCP data services, particularly BigQuery and Pub/Sub. · Strong understanding of data warehousing concepts and ETL/ELT processes. · A proactive and curious mindset with strong problem-solving skills. · Excellent communication and teamwork skills, with the ability to work effectively in a large project team. Preferred Qualifications: · Experience with other GCP services such as Cloud Composer (Airflow) or Dataflow, Cloud Functions. · Familiarity with version control systems, especially Git. · Google Cloud certification (e.g., Associate Cloud Engineer) is a plus. · A passion for data and a strong desire to grow a career in the data engineering field.

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Responsibilities

Develop, test, and maintain data pipelines and ETL/ELT processes using Python, SQL, and GCP services. Collaborate with the project team to understand data requirements and deliver effective solutions.