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Cloud Data Engineer

Cloud Data Engineer

Talent Basket

6 years

0 Lacs

kochi kerala india

Posted:1 day ago| Platform:

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Skills Required

data etl sap wms design logic indexing tuning sql server testing documentation gitlab jenkins reporting resolve development engineering integration erp strategies workflow communication collaboration ai code

Work Mode

On-site

Job Type

Full Time

Job Description

Data Engineer

Number of positions : 3

Exp : 5-9yrs

Work mode: Hybrid

Location : Trivandrum (Primary), Kochi(Secondary)

Budget: 9.6L to 15L

Notice period: Immediate joiners

Working hours : Normal shift

Key Responsibilities

Develop and maintain ETL pipelines for multiple source systems, e.g., SAP, Korber WMS, OpSuite ePOS, and internal BI systems.
Design and implement SSIS-based data workflows, including staging, data quality rules, and CDC logic for near real-time updates.
Collaborate with the DBA on schema design, indexing, and performance tuning for SQL Server 2019/2022.
Build reusable components and scripts for data loading, transformation, and validation.
Perform unit testing, documentation, and version control of data solutions using GitLab/Jenkins CI/CD.
Work closely with backend developers and analysts to align data models with reporting needs.
Troubleshoot and resolve data-related issues during development and post-deployment.

Required Skills & Experience

5–6 years
of experience in data engineering or ETL development

Strong hands-on expertise in:

SSIS (SQL Server Integration Services)
SQL Server 2019/2022 (T-SQL, stored procedures, indexing, CDC)
ETL development for ERP/warehouse systems (SAP preferred)
Dimensional modeling, star schema design, and SCD2 implementation.
Experience working with source systems like SAP, WMS, POS or retail systems is highly desirable.
Proficiency in data quality frameworks, staging strategies, and workflow orchestration.
Good understanding of data warehousing concepts and performance optimization.
Familiarity with CI/CD for data workflows (GitLab, Jenkins, etc.).
Good understanding of data warehousing concepts, dimensional modeling, and performance optimization.
Strong communication and documentation skills for collaboration across teams.
Knowledge in using AI Code accelerators for development activities.

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