Capco - AWS Data Engineer - Glue/Spark/Python (4-15 yrs)

Job Title : AWS Data Engineer AWS Glue/Spark/Python.

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 Title : AWS Data Engineer AWS Glue/Spark/Python.

Location : Pune & Bangalore.

Experience : 4 -15 Years.

Roles & responsibilities :

- Design, develop, test, deploy, and maintain large-scale data pipelines using AWS Glue.

- Good Understanding of Spark/Pyspark.

- Collaborate with cross-functional teams to gather requirements and deliver high-quality ETL solutions.

- Understanding and technical knowledge on AWS service like EC2, S3.

- Should have used these technologies in previously executed projects.

- Strong AWS development experience for data ETL/pipeline/integration/automation work.

- Should have a deep understanding of BI & Analytics Solution development lifecycle.

- Should have good understanding of AWS Services like Redshift, Glue, Lambda, Athena, S3, EC2.

Required Skills & Experience :

- Proven experience in developing and deploying data pipelines using AWS Glue, S3, Redshift, Lambda, Athena, and EC2.

- Expertise in data processing and transformation using Spark/PySpark.

- Strong Python programming skills, including experience with data manipulation, data analysis, and library usage (e.g., Pandas, NumPy).

- Solid understanding of data warehousing, data modeling, and data quality principles.

- Ability to understand business requirements and translate them into technical solutions.

- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

- Strong analytical and problem-solving skills with the ability to troubleshoot and resolve data-related issues.