AWS Data Engineer

“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. 

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.

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

We believe that diversity of people and perspective gives us a competitive advantage.

• →Strong expertise in Python, PySpark, Spark SQL, and SQL for developing scalable data pipelines and ETL processes.
• →Experience with DBT  (Data Build Tool) for data transformation, modelling, testing, and documentation.
• →Proficiency in Databricks for data engineering and optimization, with Databricks certification considered an advantage.
• →Knowledge of CI/CD, Infrastructure as Code (Terraform or CloudFormation), Git, and Agile delivery to support automated and reliable deployments.
• →Proven experience migrating data from legacy platforms to AWS, including designing modern cloud based data architectures.
• →Hands on experience with AWS data services including S3, Glue, Redshift, Athena, EMR, Lambda, and IAM.

• Bachelor's degree in computer science, Engineering, or related field, or equivalent work experience.
• Proven 8 -12 years of experience as a AWS Data Engineer or similar role.Strong problem solving and analytical skills.
• Excellent verbal communication skills.
• Good interpersonal skills.
• Ability to provide technical leadership for the team.