Data Engineer

Technical Analyst

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.