Data Engineer presso Quantiphi

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Technical Skills

➔ Proficient in cloud platforms such as AWS, Azure, or Google Cloud Platform for deploying and managing data solutions in the cloud. Exposure to GCP is preferable.

➔ Strong expertise in building and optimizing ETL processes to efficiently move and transform data between various systems and storage solutions.

➔ Knowledge of data warehousing concepts and experience working with data warehouse solutions like Amazon Redshift, Snowflake, or Google BigQuery.

➔ Extensive understanding of Python and advanced SQL, with the skill to create efficient queries.

➔ Familiarity with big data technologies such as Apache Hadoop, Apache Spark, and related tools for processing and analyzing large volumes of data. ➔ Experience in managing and optimizing relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).

➔ Identification, analysis, and resolution of infrastructure vulnerabilities and application deployment issues.

➔ Capable of resolving code errors and finding solutions for any issues in the pipeline.

Soft Skills

➔ Skilled in handling numerous projects simultaneously.

➔ Engage directly with end users to collect requirements and advise on data integration solutions

➔ Leadership qualities to guide and mentor junior team members, contributing to their professional development.

➔ Strong analytical and problem-solving skills to address challenges and troubleshoot issues in data engineering processes.

➔ A meticulous approach to ensure data accuracy, quality, and adherence to best practices in data engineering processes.

➔ Enthusiasm for continuous learning to stay updated on industry trends, emerging technologies, and best practices in data engineering.

➔ Excellent verbal and written communication skills is a must.