AWS Data Engineer Opening with CAPCO-Bangalore

Job Title: Data Engineer

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.

Location - Bangalore

Skills and Qualifications:

.• 9+ years of being a practitioner in data engineering or a related field. Strong experience in AWS

• Strong programming skills in Python, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy, Dask). • Proficiency in SQL and experience with relational databases (e.g., Sybase, DB2, Snowflake, PostgreSQL, SQL Server).

• Experience with data warehousing concepts and technologies (e.g., dimensional modeling, star schema, data vault modeling, Kimball methodology, Inmon methodology, data lake design).

• Familiarity with ETL/ELT processes and tools (e.g., Informatica PowerCenter, IBM DataStage, Ab Initio) and open-source frameworks for data transformation (e.g., Apache Spark, Apache Airflow).

• Experience with message queues and streaming platforms (e.g., Kafka, RabbitMQ).

• Experience with version control systems (e.g., Git).

• Experience using Jupyter notebooks for data exploration, analysis, and visualization.

• Excellent communication and collaboration skills.

• Ability to work independently and as part of a geographically distributed team.