Data Engineer

Day 1 Onsite (Hybrid) and Location we can consider /Pleasanton.

Job Title

Data Engineer

Relevant Experience

(in Yrs)

8+ Yrs

Technical/Functional Skills

Snowflakes, Azure /SQL/ETL /ADF pipelines/GCP/BQ

Roles & Responsibilities

Domain expertise -

• 5+ years proven experience in developing and deploying data pipelines, creating pipelines for real time and near real time integration. (in the Cloud; Azure and Snowflake, GCP experience is a plus.
• Strong Experience in SQL , Snowflake , Java / Python
• Experience with programming languages like Python, Java
• Strong understanding of data structures and algorithms.
• Extensive experience in data transformations for Retail business use cases will be a plus.
• Knowledge for handling exceptions and automated re-processing and reconciling
• Passion for Data Quality with an ability to integrate these capabilities into the deliverables.
• Prior use of Big Data components and the ability to rationalize and align their fit for a business case.
• Experience in working with different data sources - flat files, XML, JSON, Avro files and databases.
• Knowledge of Jenkins for continuous integration and End-to-End automation for application build and deployments
• Ability to integrate into a project team environment and contribute to project planning activities.
• Experience in developing implementation plans and schedules and preparing documentation for the jobs according to the business requirements.
• Lead ambiguous and complex situations to clear measurable plans.
• Proven experience and ability to work with people across the organization and skilled at managing cross-functional relationships and communicating with leadership across multiple organizations.
• Proven capabilities for strong written and oral communication skill with the ability to synthesize, simplify and explain complex problems to different audiences.

Duration of assignment (in Months)

12+ Months

Work Location (State, City and Zip)

Pleasanton California