Senior Data Engineer – Azure

Key Skills

Agile methodologies, Bitbucket, Data Biuld Tool - dbt, Data science techniques, Databricks, Git, Jenkins, JIRA, Lakehouse, PowerBI, PowerShell Programming, Snowflake, Synapse

Job Description

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.

• 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.

• 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
• 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.