Data Engineer

8 years

0 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: Sr. 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.

MAKE AN IMPACT

Job Summary

  • Position: Sr Consultant
  • Location: Capco Locations (Bengaluru/ Chennai/ Hyderabad/ Pune/ Mumbai/ Gurugram)
  • Band: M3/M4 (8 to 14 years)

Role Description

Job Title: Senior Consultant - Data Engineer

Responsibilities

  • Design, build and optimise data pipelines and ETL processes in Azure Databricks ensuring high performance, reliability, and scalability.
  • Implement best practices for data ingestion, transformation, and cleansing to ensure data quality and integrity.
  • Work within clients best practice guidelines as set out by the Data Engineering Lead
  • Work with data modellers and testers to ensure pipelines are implemented correctly.
  • Collaborate as part of a cross-functional team to understand business requirements and translate them into technical solutions.
Role Requirements
  • Strong Data Engineer with experience in Financial Services
  • Knowledge of and experience building data pipelines in Azure Databricks
  • Demonstrate a continual desire to implement “strategic” or “optimal” solutions and where possible, avoid workarounds or short term tactical solutions
  • Work within an Agile team

Experience/Skillset

  • 8+ years experience in data engineering
  • Good skills in SQL, Python and PySpark
  • Good knowledge of Azure Databricks (understanding of delta tables, Apache Spark, Unity Catalog)
  • Experience writing, optimizing, and analyzing SQL and PySpark code, with a robust capability to interpret complex data requirements and architect solutions
  • Good knowledge of SDLC
  • Familiar with Agile/Scrum ways of working
  • Strong verbal and written communication skills
  • Ability to manage multiple priorities and deliver to tight deadlines

WHY JOIN CAPCO?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer:
  • A work culture focused on innovation and creating lasting value for our clients and employees
  • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
  • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
  • A diverse, inclusive, meritocratic culture

We Offer

  • A work culture focused on innovation and creating lasting value for our clients and employees
  • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
  • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients

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Capco

Consulting, Financial Services

Chicago

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