Senior Data Engineer (Hybrid)

Job Title

Senior Data Engineer (Hybrid)

Job Description

For more than 80 years, Kaplan has been a trailblazer in education and professional advancement. We are a global company at the intersection of education and technology, focused on collaboration, innovation, and creativity to deliver a best in class educational experience and make Kaplan a great place to work.

Our offices in India opened in Bengaluru in 2018. Since then, our team has fueled growth and innovation across the organization, impacting students worldwide. We are eager to grow and expand with skilled professionals like you who use their talent to build solutions, enable effective learning, and improve students’ lives.

The future of education is here and we are eager to work alongside those who want to make a positive impact and inspire change in the world around them.

The Senior Data Engineer at Kaplan North America (KNA) within the Analytics division will work with world class psychometricians, data scientists and business analysts to forever change the face of education. This role is a hands-on technical expert who will own the design and implementation of an Enterprise Data Warehouse powered by AWS RA3 as a key feature of our Lake House architecture.

The perfect candidate is an expert in data warehousing technical components (e.g. data modeling, ETL, reporting). You should have deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud). You should be able to work with business customers in a fast-paced environment understanding the business requirements and implementing data & reporting solutions. Above all you should be passionate about working with big data and someone who loves to bring datasets together to answer business questions and drive change.

Primary Responsibilities

• Hands-on technical leader. Continually raises the bar for the data engineering function.
• Leads the design, implementation, and successful delivery of large-scale, critical, or difficult data solutions. These efforts can be either a new data solution or a refactor of an existing solution and include writing a significant portion of the “critical-path” code.
• Sets an example through their code, designs and decisions. Provides insightful code reviews and take ownership of the outcome. (You ship it, you own it.)
• Proactively works to improve data quality and consistency by considering the architecture, not just the code for their solutions.
• Makes insightful contributions to team priorities and overall data approach, influencing the team’s technical and business strategy. Takes the lead in identifying and solving ambiguous problems, architecture deficiencies, or areas where their team bottlenecks the innovations of other teams. Makes data solutions simpler.
• Leads design reviews for their team and actively participates in design reviews of related development projects.
• Communicates ideas effectively to achieve the right outcome for their team and customer. Harmonizes discordant views and leads the resolution of contentious issues.
• Demonstrates technical influence over 1-2 teams, either via a collaborative development effort or by increasing their productivity and effectiveness by driving data engineering best practices (e.g. Code Quality, Data Quality, Logical and Physical Data Modelling, Operational Excellence, Security, etc.).
• Actively participates in the hiring process and is a mentor to others - improving their skills, their knowledge, and their ability to get things done.
• Hybrid Schedule: 3 days remote / 2 days in office
• 30-day notification period preferred
  
  

Education & Experience

• Bachelor's degree in Computer Science, Information Systems, Data Science or related field
• 5+ years of experience as a Data Engineer or a similar role
• In-depth knowledge of the AWS stack (Redshift, Lambda, Glue, SnS, pySpark, Airflow).
• Expertise in data modeling, ETL development and data warehousing.
• 3+ years’ experience with Python,pySpark or Java, Scala
• Effective troubleshooting and problem-solving skills
• Strong customer focus, ownership, urgency and drive.
• Excellent verbal and written communication skills and the ability to work well in a team.
  
  

Preferred Qualifications

• 3+ years’ experience with AWS services including S3, RA3, AWS Cloudformation.
• Ability to distill ambiguous customer requirements into a technical design.
• Experience providing technical leadership and educating other engineers for best practices on data engineering.
• Familiarity with Tableau & SSRS.
  
  

Location

Bangalore, KA, India

Additional Locations

Employee Type

Employee

Job Functional Area

Systems Administration/Engineering

Business Unit

00072 Kaplan Test Prep

At Kaplan, we recognize the importance of attracting and retaining top talent to drive our success in a competitive market. Our salary structure and compensation philosophy reflect the value we place on the experience, education, and skills that our employees bring to the organization, taking into consideration labor market trends and total rewards. All positions with Kaplan are paid at least $15 per hour or $31,200 per year for full-time positions. Additionally, certain positions are bonus or commission-eligible. And we have a comprehensive benefits package, learn more about our benefits here.

Diversity & Inclusion Statement

Kaplan is committed to cultivating an inclusive workplace that values diversity, promotes equity, and integrates inclusivity into all aspects of our operations. We are an equal opportunity employer and all qualified applicants will receive consideration for employment regardless of age, race, creed, color, national origin, ancestry, marital status, sexual orientation, gender identity or expression, disability, veteran status, nationality, or sex. We believe that diversity strengthens our organization, fuels innovation, and improves our ability to serve our students, customers, and communities. Learn more about our culture here.

Kaplan considers qualified applicants for employment even if applicants have an arrest or conviction in their background check records. Kaplan complies with related background check regulations, including but not limited to, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. There are various positions where certain convictions may disqualify applicants, such as those positions requiring interaction with minors, financial records, or other sensitive and/or confidential information.

Kaplan is a drug-free workplace and complies with applicable laws.