Data Engineer- Remote vacancy at Trianz

Trianz simplifies digital evolutions through effective strategies and excellence in execution. Collaborating with business and technology leaders, we help formulate and execute operational strategies to achieve intended business outcomes by bringing the best of consulting, technology experiences and execution models. Powered by knowledge, research, and perspectives, we enable clients to transition to a digital enterprise by leveraging Cloud, Analytics, Digital, Infrastructure and Security paradigms. With offices in Silicon Valley, Washington DC Metro, Rosemont, Chicago, Austin, Boston, Denver, Irvine, Raleigh, San Francisco, Seattle, New York, Dubai, Bengaluru, Hyderabad and Chennai, we serve Fortune 1000 and emerging organizations across industries globally.

Responsibilities

Trianz is looking for passionate Data Engineers who are looking to tackle challenges and build solutions

We are looking for a Data Engineer to not only build data pipelines but also extend the next generation of our data tools. As a Data Engineer, you will develop a clear sense of connection with our organization and leadership - as Data Engineering is the eyes through which they see the product.

This is a partnership-heavy role. As a member of Infrastructure Strategy Data Engineering, you will belong to a centralized Data Science/Data Engineering team who partners closely with teams in Facebook’s Infrastructure organization. Through the consulting-nature of our team, you will contribute to a variety of projects and technologies, depending on partner needs. Projects include analytics, ML modeling, tooling, services, and more. The broad range of partners equates to a broad range of projects and deliverables: ML Models, datasets, measurements, services, tools and process.

Requirements

5+ years of SQL experience.
3+ years of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M).
3+ years’ experience with Data Modeling.
Experience analyzing data to discover opportunities and address gaps.
5+ years’ experience in custom ETL design, implementation and maintenance.
Experience working with cloud or on-prem Big Data/MPP analytics platform(i.e. Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar).