1 Π΄Π΅Π½Ρ Π½Π°Π·Π°Π΄
Data Engineer III (GCP)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Data Engineer III (GCP): Building and optimizing data pipelines, warehouses, and data value chain automation for an insurance technology platform with an accent on Python, SQL, Snowflake, Airflow, and dbt. Focus on designing maintainable data architecture, integrating ETL and streaming systems, and ensuring pipeline reliability, governance, security, and data quality.
Location: Hyderabad, India
Company
is a technology platform that provides enterprise solutions and data insights for life and annuity insurance products.
What you will do
- Oversee technology choices and implement data pipelines, data warehouses, and data value chain automation.
- Lead or serve as a subject matter expert on cross-organizational and cross-divisional data engineering projects.
- Design simple, maintainable data architectures and data models for analysts, data scientists, stakeholders, product teams, and engineering teams.
- Build ETL and event-driven or streaming data pipelines using Airbyte, Airflow, dbt, and related tools.
- Ensure pipeline reliability, data governance, security, customer data protection, data quality, and observability.
- Mentor data engineers, promote technical best practices, and evaluate tools that improve speed and scalability.
Requirements
- Technical bachelor's or master's degree and 4+ years of data engineering experience.
- Extensive hands-on experience with data pipelining, warehousing, ETL tools, Python, and SQL.
- Strong working knowledge of Snowflake, Airflow, and dbt.
- Experience with Jira, Git, Buildkite, Terraform, containers, Kubernetes, Cloud Functions, and cloud platforms including GCP or AWS.
- Understanding of standard ETL patterns, modern data warehousing concepts such as data mesh or data vaulting, test-driven design, and data observability.
- Ability to work across high-level architecture and low-level coding while mentoring and leading delivery.
Nice to have
- Experience with BigQuery, Cloud SQL, DataStore, Tableau, and Power BI.
- Experience partnering with data scientists and software engineers to productionize data solutions.
Culture & Benefits
- Collaborate with professionals focused on technology, data insights, and insurance services.
- Work in a culture centered on bold action, teamwork, value delivery, learning, and teaching.
- Opportunity to experiment, take ownership, improve data capabilities, and develop novel solutions to complex problems.
- Commitment to a diverse and equal-opportunity workforce.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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