Senior Analyst - Data Engineering

Job Summary:

As a GCP Data Engineer you will be responsible for developing, optimizing, and maintaining data pipelines and infrastructure. Your expertise in SQL and Python will be instrumental in managing and transforming data, while your familiarity with cloud technologies will be considered an asset as we explore opportunities to enhance data engineering processes.

Job Description:

• Building scalable Data Pipelines
• Design, implement, and maintain end-to-end data pipelines to efficiently extract, transform, and load (ETL) data from diverse sources.
• Ensure data pipelines are reliable, scalable, and performance oriented.
• SQL Expertise:
• Write and optimize complex SQL queries for data extraction, transformation, and reporting.
• Collaborate with analysts and data scientists to provide structured data for analysis.
• Cloud Platform Experience:
• Utilize cloud services to enhance data processing and storage capabilities.
• Work towards the integration of tools into the data ecosystem.
• Documentation and Collaboration:
• Document data pipelines, procedures, and best practices to facilitate knowledge sharing.
• Collaborate closely with cross-functional teams to understand data requirements and deliver solutions.

Required skills:

• 3+ years of experience with SQL, Python,
• 1+ GCP BigQuery, DataFlow, GCS, Postgres
• 2+ years of experience building out data pipelines from scratch in a highly distributed and fault-tolerant manner.
• Comfortable with a broad array of relational and non-relational databases.
• Proven track record of building applications in a data-focused role (Cloud and Traditional Data Warehouse)
• Experience with CloudSQL, Cloud Functions and Pub/Sub, Cloud Composer etc.,
• Inquisitive, proactive, and interested in learning new tools and techniques.
• Familiarity with big data and machine learning tools and platforms. Comfortable with open source technologies including Apache Spark, Hadoop, Kafka.
• Strong oral, written and interpersonal communication skills
• Comfortable working in a dynamic environment where problems are not always well-defined.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.