Data Engineer (Short-Term project)

Description

We are looking for a Middle Data Engineer to support a short-term, time-sensitive data project. The role centers on building and running data processing workflows on AWS using Python and SQL. This is a focused, one-time effort — the ideal candidate can onboard quickly and deliver with minimal ramp-up.

What we offer

• Global Relocation - (Relocation options; Experience in an international environment; Cross-cultural experience)

• Recognition and Evaluation - (Feedback culture; Regular appraisals)

• Time Off - (Annual holiday - 20 or 26 days. The duration of the leave depends on the overall seniority; Occasional leave - 1 or 2 days/ depending on the circumstances; Child care leave - 2 days or 16 hours per year; Absence due to force majeure - 2 days or 16 hours per year; Maternity Leave - 20 weeks; Parental Leave - 41 weeks; Paternity Leave - 14 days)

• Luxoft Training Center - (Expert-led tech courses covering basic to advanced topics; Internal instructor-led soft skills courses; Comprehensive in-house self-learning resources for both soft and hard skills; Access to external self-learning libraries like ProQuest eBook and Udemy for Business; Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy; Custom Learning Programs: upskilling, reskilling, technical mentorship; Leadership Programs for Managers)

• Well-being and Work-life Balance - (Multisport card; Possibility to order Multisport card at the corporate rate for family members; LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.; One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with local community and culture; “Hire me” workshops for partners; Preferential banking offer; Preferential car leasing offer; Cafeteria program discounts for shops, cinema tickets, holiday offers; Luxoft Social Benefit Fund: sport and recreation benefits, the possibility to receive financial support)

• Health Care - (Private Healthcare Insurance with unlimited access to specialists; Full dental support; Travel Insurance; Possibility to add private healthcare coverage for family members at the corporate rate; Life insurance at the corporate rate for employees and family members, including payment of the basic package for the employee by the employer; Reimbursement for corrective glasses)

• Company Events and Friendly Environment - (Many fun social activities organized by the Luxoft team offline in your city; Online entertainment events for whole company and local team events; A workplace where you’re treated with respect within a multicultural team)

• Internal Mobility - (Rotation between projects and accounts; New career opportunities)

• Self-Learning Library

• CSR Projects

Other

• Languages: English: B2 Upper Intermediate

• Seniority: Regular

Requirements

• Python for data engineering — pandas, scipy

• boto3 (AWS SDK for Python)

• SQL

• Hands-on with AWS data services: Athena, EMR, S3 (basic working knowledge acceptable)

• Basic statistical analysis

• C++ (a plus, not required)

Responsibilities

• Develop and run data processing and transformation workflows on the AWS data stack

• Write and optimize Python scripts for data manipulation and AWS automation (boto3)

• Query and process datasets using SQL and AWS Athena

• Run distributed data processing jobs on AWS EMR; manage data in S3

• Perform basic statistical analysis to support project goals

• Work within the existing CI/CD and Atlassian environment (Bamboo, JIRA, Confluence)