Senior Data Engineer Azure

This is a hands on data platform engineering role that places significant emphasis on consultative data engineering engagements with a wide range of customer stakeholders; Business Owners, Business Analytics, Data Engineering teams, Application Development, End Users and Management teams.

You will :

- Design and build resilient and efficient data pipelines for batch and real-time streaming

- Architect and design data infrastructure on cloud using Infrastructure-as-Code tools.

- Collaborate with product managers, software engineers, data analysts, and data scientists to build scalable and data-driven platforms and tools

- Provide technical product expertise, advise on deployment architectures, and handle in-depth technical questions around data infrastructure, PaaS services, design patterns and implementation approaches.

- Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to lead the identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities

- Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations

- Lead a team of engineers to deliver impactful results at scale

- Execute projects with an Agile mindset

- Build software frameworks to solve data problems at scale

Technical Requirements:

- 7+ years of data engineering experience leading implementations of large-scale lakehouses on Databricks, Snowflake, or Synapse. Prior experience using DBT and PowerBI will be a plus.

- 3+ years' experience architecting solutions for developing data pipelines from structured, unstructured sources for batch and realtime workloads.

- Extensive experience with Azure data services (Databricks, Synapse, ADF) and related azure infrastructure services like firewall, storage, key vault etc. is required.

- Strong programming / scripting experience using SQL and python and Spark

- Strong Data Modeling, Data lakehouse concepts.

- Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket

- Experience with Agile development methods in data-oriented projects

Other Requirements :

- Highly motivated self-starter and team player and demonstrated success in prior roles

- Track record of success working through technical challenges within enterprise organizations

- Ability to prioritize deals, training, and initiatives through highly effective time management

- Excellent problem solving, analytical, presentation, and whiteboarding skills

- Track record of success dealing with ambiguity (internal and external) and working collaboratively with other departments and organizations to solve challenging problems

- Strong knowledge of technology and industry trends that affect data analytics decisions for enterprise organizations

- Certifications on Azure Data Engineering and related technologies.

"Remote postings are limited to candidates residing within the country specified in the posting location"