Snowflake Developer

Cognizant
Madrid, Spain
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Microsoft Azure Cloud Computing Continuous Integration Extract Transform Load (ETL) Data Warehousing DevOps Python (Programming Language) Performance Tuning Query Optimization Role-Based Access Control Standard Sql
+8 more
Shell Script Simple Data Format Data Streaming Teradata SQL Scripting Informatica Powercenter Snowflake Data Pipelines

Job description

We are looking for a Senior Snowflake Engineer to lead the design, build and delivery of our client’s Teradata-to-Snowflake migration. You will own end-to-end pipeline architecture using IDMC, optimise performance and cost at scale, and ensure data quality, security and governance across the programme. This is a high-impact, client-facing role within a fast-paced, cross-functional delivery team operating in the BFSI domain., · Lead the Teradata * Snowflake migration lifecycle: assessment, planning, execution and cutover readiness.

· Design Snowflake data models and objects; architect and build ETL/ELT pipelines using IDMC (preferred).

· Optimise performance and cost: warehouse sizing, clustering/partitioning and query tuning.

· Implement Snowflake capabilities including Snowpipe, Streams/Tasks and Time Travel.

· Manage secure access: RBAC, encryption, storage integrations and external stages.

· Rewrite and optimise Teradata SQL; convert Teradata-specific functions to Snowflake equivalents.

· Automate operational tasks using Python and/or Shell scripting.

· Perform source-to-target data reconciliation and validate transformation logic.

· Document solutions, data flows and design decisions; communicate progress to stakeholders.

Requirements

· Strong Snowflake architecture expertise and hands-on SQL skills (performance tuning and optimisation).

· Proven Teradata SQL knowledge including utilities, functions and migration/conversion experience.

· Solid background in data warehousing and ETL/ELT design; hands-on IDMC experience preferred.

· Deep knowledge of Snowflake features: Snowpipe, Streams/Tasks, Time Travel/Cloning, micro-partitions, stages, file formats and RBAC.

· Cloud platform experience: Azure, AWS or GCP.

· Scripting proficiency in Python and/or Shell for automation and pipeline support.

· CI/CD and DevOps practices applied to data pipelines.

Nice to have:

· BFSI domain experience.

· Informatica PowerCenter background.

· SnowPro certification.

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