Job Description :

What will you be doing ?

- Develop Real Time Streaming & Batch Data Pipelines.

- Deliver high-quality data engineering components and services that are robust and scalable.

- Collaborate and communicate effectively with cross-functional teams to ensure delivery of strong results.

- Employ methodical approaches to Data Modeling, Data Quality, and Data Governance.

- Provide guidance on architecture, design, and quality engineering practices to the team.

- Leverage foundational Data Infrastructure to support analytics, BI, and visualization layers.

- Work closely with data scientists on feature engineering, model training frameworks, and model deployments at scale.

What are we looking for ?

- BS/MS in Computer Science or related field, or an equivalent combination of education and experience.

- A minimum of 6 years of experience in software engineering, with hands-on experience in building data pipelines and big data technologies.

- Proficiency with Big Data technologies such as Apache Spark, Apache Iceberg, Amazon Redshift, Athena, EMR, and other AWS services (S3, Lambda, EMR).

- Expertise in at least one programming language: Python, Java, or Scala.

- Extensive experience in designing and building data models, integrating data from various sources, building ETL/ELT and data-flow pipelines, and supporting all parts of the data platform.

- Expert-level SQL programming knowledge and experience.

- Experience with any enterprise reporting and/or data visualization tools like Strategy, Cognos, Tableau, Looker, PowerBI, Superset, QlikView etc.

- Strong data analysis skills, capable of making data-driven arguments and effective visualizations.

- Energetic, enthusiastic, and detail-oriented.

Bonus Points :

- Experience in e-commerce/retail domain.

- Knowledge on StarRocks.

- Knowledge in Web Services, API integration, and data exchanges with third parties.

- Familiarity with basic statistical analysis and machine learning concepts.

- A passion for producing high-quality analytics deliverables