2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and maintain dbt data pipelines and data models for buyer experience, experimentation, and ecommerce tracking.
- Build resilient and auto-recoverable data transformation pipelines that meet SLA, performance, and data quality expectations.
- Optimize pipelines and debug analytical use cases and data quality issues.
- Develop scalable data models, semantic views, and metadata to support AI-ready and self-service data consumption.
- Collaborate with stakeholders to translate business OKRs into technical solutions and understand ecommerce transactions, experimentation, and A/B testing.
- Document and maintain the data catalog and support data governance, security, compliance, and cost efficiency.
- Mentor data platform associates through solutioning, code reviews, and best-practice adoption.
Requirements
- At least 6 years of experience implementing enterprise data solutions.
- At least 3 years of experience with ETL, data pipeline, and orchestration tools such as dbt, Airflow, Airbyte, AWS Glue, and Prefect.
- At least 2 years of hands-on experience in data modeling, optimization, and database architecture.
- Extensive experience writing, debugging, and tuning SQL queries.
- Strong programming experience in Python or Java.
- Good understanding of AWS data services and cloud data warehouses such as Snowflake.
- Experience tuning, optimizing, and debugging data pipelines and supporting enterprise-scale business intelligence platforms.
- Proven experience leading and delivering complex data projects in cloud environments.
- Understanding of software engineering principles, distributed computing, and data frameworks such as Apache Spark, Hadoop, and Apache Kafka.
- Experience with data modeling, schema design, semantic layers, AI-ready data products, cloud data governance, security, and compliance is preferred.
- Experience with Google Analytics, Snowplow, reporting tools such as Tableau, QlikView, Looker, or Power BI, and database administration is preferred.
- Strong problem-solving, leadership, and communication skills; startup experience and familiarity with Agile, CI/CD automation, and Test Driven Development are beneficial.
Tech Stack
AirbyteAmazon DynamoDBApache AirflowApache HadoopApache KafkaApache SparkAWSdbtJavaPythonSnowflakeSQL
Categories
Data Engineering
About G2
G2 builds a B2B software marketplace where buyers research, compare, and review SaaS and enterprise tools, and vendors manage profiles and reputation. Revenue comes from subscriptions for seller solutions such as advertising, buyer intent data, and market intelligence. Founded in 2012 and headquartered in Chicago, the privately held company raised a Series D in 2021.