Qualifications7 years of experience in data engineering roles with expertise in building and maintaining data pipelines, systems, and applications.Proficient in data warehouse design, implementation, and optimization, leveraging ETL/ELT processes, schema modeling, and ensuring efficient data retrieval for analytical purposes.Degree in computer science, software engineering, or related engineering domains.Proficient in Python and one additional programming/querying language used for data engineering such as Java, SQL, NoSQLs, or similar.Hands‐on experience with cloud platforms like AWS, GCP, or Azure.Knowledge and hands‐on experience either with cloud platforms (AWS, GCP, or Azure), or in Linux OS.Experience with DevOps and CI/CD.Strong understanding of data modeling, both SQL and NoSQL, with expertise in distributed systems design.Experience with big data technologies such as Spark or other distributed processing technologies and familiarity with tools like Airflow for workflow orchestration.Knowledge of data governance, metadata management, and best practices in ensuring data quality and compliance.Excellent communication skills and the ability to collaborate effectively in cross‐functional teams.Analytical mindset, attention to detail, and problem‐solving skills to address complex data challenges.Familiarity with Standard AI/ML processes & Operations is greatly valued.Fluency in English is mandatory, and proficiency in additional languages advantageous.BenefitsJoin a multicultural and inclusive team environment.Enjoy a supportive atmosphere promoting work‐life balance.Hybrid work.Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.Access valuable training and certifications in cutting‐edge technologies.Engage in exciting national and international projects.Health and life insurance.Referral program with bonuses for talent recommendations.Great office locations.#J-18808-Ljbffr