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Data Platform Engineer

Data Engineering Associate Manager | Full time | Experience: 5-10 years
Job No. ATCI-5500893-S2005620 | Hyderabad | Required Skill: Data Engineering
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Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Data Engineering
Summary:
Must-Have (Core – Applicable Across Most Data Engineering Demands)
These are the explicit baseline requirements captured in the internal JD.
Proficiency in Data Engineering
Experience with data modeling and ETL processes
Strong understanding of database management systems and SQL
Familiarity with cloud platforms and data storage solutions
Knowledge of programming languages relevant to data engineering
Ability to work independently, contribute to team discussions, collaborate with stakeholders, and operate as an SME

Good-to-Have (Commonly Requested, Not Universal)
These skills increase deployability but are not mandatory for every Data Engineering demand.
Participation in code reviews and providing constructive feedback to peers
Experience building high-quality, performant data pipelines aligned to business use cases
Note: The JD does not explicitly list a separate Good-to-Have section for Data Engineering the items above are derived from the Roles & Responsibilities and framed as commonly valued enrichers.

Depending on Client Needs (Demand-Specific / Program-Driven Overlays)
Use these selectively based on the client s data maturity, platform stack, and engagement model.
Greater emphasis on team leadership and technical decision ownership for lead-level or GCC roles (explicitly referenced in the JD context)
Focus on performance tuning, scalability, and optimization in large-scale data environments
Stronger alignment to cloud-native data platforms (e.g., cloud data warehouses, distributed processing frameworks) depending on client ecosystem
(These are positioned as overlays because they are not explicitly enumerated in the JD text but are commonly toggled per client engagement.)

Experience
a: Should have Good Communication Skills and leadership skills
b: Should have Good analytical skills and presentation skills.
c: Minimum 15 yrs. of full time educational is required.
15 years full time education

Hyderabad

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