Data Engineer- Cdp Job in Randomtrees

Job Description-

2.5 years experience as a data warehouse engineer/architect designing and deploying data systems in a startup environment

Mastery of database and data warehouse methodologies and techniques from transactional databases to dimensional data modeling, to wide deformalized data marts

Deep understanding of SQL-based Big Data systems and experience with modern ETL tools

Expertise in designing data warehouses using Google Big Query

Experience developing data pipelines in Python

Firm believer of data driven decision making, and extensive experience developing for high/elastic scalable, 24x7x365 high availability digital marketing or ecommerce systems

Hands-on experience with data compute, storage, and security components and using Cloud Platform (preferably GCP) provided Big Data technologies

Hands-on experience with real time streaming processing as well as high volume batch processing, and skilled in Advanced SQL, GCP BigQuery, Apache Kafka, Data-Lakes, etc.

Hands-on Experience in Big Data technologies - Hadoop, Hive and Spark, and in an enterprise-scale Customer Data Platform (CDP)

Experience in at least one programming language (Python strongly preferred), cloud computing platforms (e.g., GCP), big data tools such as Spark/PySpark, columnar datastores (BigQuery preferred), DevOps processes/tooling (CI/CD, GitHub Actions), infrastructure as code frameworks (Terraform), BI Tools (e.g. DOMO, Tableau, Looker,), pipeline orchestration (eg. Airflow)

Fluency in data science/machine learning basics (model types, data prep, training process, etc.)

Experience using version control systems (Git strongly preferred)

Experience with data governance and data security

Strong analytical, problem solving and interpersonal skills, have a hunger to learn, and the ability to operate in a self-guided manner in a fast-paced rapidly changing environment