Senior Data Engineer

Role: Senior Data Engineer

Total Experience Range: 6+ yrs

Relevant experience in Azure Databricks, Azure Data Factory, SQL, ADLS, Medallion Architecture, Python, SCD Concepts and implementation, DevOps CI/CD - 4+ yrs (Must have)

NP: Immediate - 30 Days only

Location: Trivandrum

What is the expectation from the candidates current role/profile?

Design and develop warehouse solutions using Databricks, ADF, ADLS etc.

Should be proficient in SQL and Query optimization.

Should have worked in onshore offshore model managing challenging scenarios.

Expertise in working with large amounts of data (structured and unstructured), building data pipelines for ETL workloads and generate insights utilizing Data Science, Analytics.

Expertise in Azure cloud services, and DevOps/CI/CD frameworks.

Ability to work with ambiguity and vague requirements and transform them into deliverables.

Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently.

Drive automation efforts across the data analytics team utilizing Infrastructure as Code (IaC) using Terraform, Configuration Management, and Continuous Integration (CI) / Continuous Delivery (CD) tools such as Jenkins.

Help build define architecture frameworks, best practices & processes. Collaborate on Data warehouse architecture and technical design discussions.

Expertise in Azure Data factory and should be familiar with building pipelines for ETL projects.

Expertise in SQL knowledge and experience working with relational databases.

Expertise in Python and ETL projects

Experience in data bricks will be of added advantage.

Should have expertise in data life cycle, data ingestion, transformation, data loading, validation, and performance tuning.