Data Analyst / Data Modeler – Data Integration (DIH)

AcmaTek; Bengaluru; Vor Ort; INR 600.000 - 1.000.000; Vollzeit

Zusammenfassung

Acmatek is seeking a highly capable Data Analyst / Data Modeler contractor in Bengaluru, India to support a major enterprise data transformation programme.

This role involves bridging business requirements and engineering delivery, contributing to high-quality data into analytical platforms. Successful candidates will demonstrate strong data modelling skills and experience in complex multi-system environments.

Qualifikationen

• Strong experience in data modelling.
• Proven capability in data analysis.
• Advanced SQL skills for profiling and validation.

Aufgaben

• Analyse complex datasets to understand structures and relationships.
• Define source-to-target mappings and transformation logic.
• Develop and maintain data models.

Kenntnisse

Data modelling (conceptual, logical, physical)

Data analysis and source-to-target mapping

Advanced SQL skills

Defining transformation logic

Understanding of data warehousing and ETL/ELT

Problem-solving skills

Data debugging skills

Knowledge of PySpark, SparkSQL

Jobbeschreibung

All Jobs • Data Analyst / Data Modeler – Data Integration (DIH)

We are looking for a highly capable Data Analyst / Data Modeler contractor to support a major enterprise data transformation programme, the Data Integration Hub (DIH).

This role sits within a high-performing Data Architecture & Engineering function and will play a key part in delivering clean, reconciled, and business-ready data into our analytical platforms.

You will work at the heart of the programme, bridging business requirements, data modelling, and engineering delivery.

Key Responsibilities

• Analyse complex datasets to understand structures, relationships, and data quality issues
• Define source-to-target mappings and detailed transformation logic
• Develop and maintain conceptual, logical, and physical data models
• Translate requirements into clear pseudo-logic and implementation-ready specifications
• Perform data reconciliation and variance analysis between legacy and new platforms
• Identify and resolve data issues through structured root cause analysis
• Support testing and validation activities during key delivery and go-live phases
• Work closely with Data Engineers, Architects, and business stakeholders to ensure delivery of high-quality data

Skills & Experience

• Strong experience in data modelling (conceptual, logical, physical)
• Proven capability in data analysis and source-to-target mapping
• Advanced SQL skills for profiling, validation, and complex queries
• Experience defining transformation logic / pseudo-code for data pipelines
• Good understanding of data warehousing and ETL/ELT processes
• Strong problem-solving and data debugging skills
• Experience working in complex, multi-system data environments
• Knowledge of PySpark, SparkSQL advantageous to the role

What We’re Looking For

• A hands‑on, detail‑oriented data specialist who thrives in complex environments
• Someone who can bridge business and engineering with clarity and structure
• Strong communicator, comfortable working with distributed teams within Data Architecture & Engineering function and across external functions
• Experience in data reconciliation, quality, and governance-driven programmes is highly desirable