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Capco

Big Data Tester

Reposted 7 Hours Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Pune, Maharashtra
Mid level
Remote or Hybrid
Hiring Remotely in Pune, Maharashtra
Mid level
The Big Data Tester will develop automated test frameworks for data applications, conduct thorough testing of ETL processes, collaborate with teams, and document defects.
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Job Title: Big Data Tester

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: Big Data Engineer

Job Description:

Role:

• Support Development, and maintain automated test frameworks, tools, and test cases for Data Engineering and Data Warehouse applications. 

• Collaborate with cross-functional teams, including software developers, data engineers, and data analysts, to ensure comprehensive testing coverage and adherence to quality standards.

• Conduct thorough testing of data pipelines, ETL processes, and data transformations using Big Data technologies.

• Apply your knowledge of Data Warehouse/Data Lake methodologies and best practices to validate the accuracy, completeness, and performance of our data storage and retrieval systems.

• Identify, document, and track software defects, working closely with the development team to ensure timely resolution.

• Participate in code reviews, design discussions, and quality assurance meetings to provide valuable insights and contribute to the overall improvement of our software products.


Base Skill Requirements:

Must Technical

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 3-5 years of experience in software testing and development, with a focus on data-intensive applications.

• Proven experience in testing data pipelines and ETL processes - Test planning, Test Environment planning, End to End testing, Performance testing.

• Solid programming skills in Python - proven automation effort to bring efficiency in the test cycles.

• Solid understanding of Data models and SQL .

• Must have experience with ETL (Extract, Transform, Load) processes and tools (Scheduling and Orchestration tools, ETL Design understanding)

• Good understanding of Big Data technologies like Spark, Hive, and Impala.

• Understanding of Data Warehouse methodologies, applications, and processes.

• Experience working in an Agile/Scrum environment, with a solid understanding of user stories, acceptance criteria, and sprint cycles.


Optional Technical

 • Experience with scripting languages like Bash or Shell.

• Experience working with large-scale datasets and distributed data processing frameworks (e.g., Hadoop, Spark).

• Familiarity with data integration tools like Apache NiFi is a plus.

• Excellent problem-solving and debugging skills, with a keen eye for detail.

• Strong communication and collaboration skills to work effectively in a team-oriented environment.

• Eagerness to learn and contribute to a growing team.

Top Skills

Hive
Impala
Python
Spark
SQL

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