Data Engineer - Scala

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: Senior Data Engineer - Scala Job Description: Must have skills : 1) Hands on exp in Scala and can write code 2) Good in DSA 3) Good in SQL 4) Should have basic understanding of Hadoop and Hive Scala(Programing skills ), Hadoop, Pyspark, Python & SQL, data structures The Senior Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and building out new API integrations to support continuing increases in data volume and complexity. They will collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data driven decision making across the organization. Responsibilities: Design, construct, install, test and maintain highly scalable data management systems & Data Pipeline. Ensure systems meet business requirements and industry practices. Build high-performance algorithms, prototypes, predictive models, and proof of concepts. Research opportunities for data acquisition and new uses for existing data. Develop data set processes for data modeling, mining and production. Integrate new data management technologies and software engineering tools into existing structures. Create custom software components and analytics applications. Install and update disaster recovery procedures. Collaborate with data architects, modelers, and IT team members on project goals. Provide senior level technical consulting to peer data engineers during data application design and development for highly complex and critical data projects. Qualifications: Bachelor's degree in computer science, Engineering, or related field, or equivalent work experience. Proven 5-8 years of experience as a Senior Data Engineer or similar role. Experience with big data tools: Python, Hadoop, Spark, Pyspark & Scala Expert level SQL skills for data manipulation (DML) and validation (DB2). Experience with data pipeline and workflow management tools. Experience with object-oriented/object function scripting languages: Python, Java, Go lang etc. Strong problem solving and analytical skills. Excellent verbal communication skills. Good interpersonal skills. Ability to provide technical leadership for the team.