Technical Archiitect

Inteliment Group; Pune District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Inteliment Group in Pune is seeking a highly skilled Data Engineer with over 6 years of experience in Data Analytics and BI to define scalable architectures and build ETL/ELT pipelines. Candidates should have strong hands-on skills in data engineering tools such as Python/PySpark and proficiency in at least one BI tool like Power BI or Tableau. This role offers the opportunity to engage directly with clients and mentor team members, emphasizing analytical problem-solving and effective stakeholder management.

Qualifications

• 6+ years in Data Analytics / BI domain.
• Strong hands-on experience in Data Engineering (ETL/ELT, SQL, Python/PySpark).
• Expertise in at least one BI tool (Power BI / Tableau / Qlik / Looker).
• Experience with Cloud platforms (AWS / Azure / GCP).
• Experience with Data Warehousing (Snowflake / Redshift / BigQuery).
• Ability to work in client-facing roles.

Responsibilities

• Define scalable, secure, high-performance architectures.
• Build and optimize ETL/ELT pipelines.
• Work with large-scale structured & unstructured data.
• Ensure data quality, performance, and governance.
• Design enterprise dashboards and data models.
• Translate business needs into analytics solutions.
• Mentor team members and drive best practices.
• Engage with clients, run requirement workshops.
• Provide estimations and solution approaches.

Skills

Data Analytics / BI

Data Engineering (ETL/ELT, SQL, Python/PySpark)

BI tools (Power BI / Tableau / Qlik / Looker)

Cloud platforms (AWS / Azure / GCP)

Data Warehousing (Snowflake / Redshift / BigQuery)

Client-facing roles

Problem-solving

Analytical mindset

Technical leadership

Education

Bachelor’s / Master’s in Computer Science, IT, or related field

Tools

SQL

Python

ETL/ELT

CI/CD

Git

Agile

Job description

Inteliment Technologies Pvt. Ltd. | Full time

Requirements

Must‑Have Requirements (Critical)

• 6+ years in Data Analytics / BI domain
• Strong hands‑on experience in Data Engineering (ETL/ELT, SQL, Python/PySpark)
• Expertise in at least one BI tool (Power BI / Tableau / Qlik / Looker)
• Experience with Cloud platforms (AWS / Azure / GCP)
• Experience with Data Warehousing (Snowflake / Redshift / BigQuery)
• Ability to work in client‑facing roles

Key Responsibilities

• Define scalable, secure, and high-performance architectures
• Build and optimize ETL/ELT pipelines
• Work with large‑scale structured & unstructured data
• Ensure data quality, performance, and governance
• Design enterprise dashboards and data models
• Translate business needs into analytics solutions

Technical Leadership

• Mentor team members and drive best practices

Stakeholder Management

• Engage with clients, run requirement workshops
• Provide estimations and solution approaches

Technical Skills

Cloud & DWH: AWS / Azure / GCP, Snowflake / Redshift / BigQuery

Others (Good to Have): Data Modeling, APIs, CI/CD, Git, Agile

Education

Bachelor’s / Master’s in Computer Science, IT, or related field

Ideal Profile

• Strong problem‑solving and analytical mindset
• Balance of hands‑on + architecture capability
• Excellent communication and stakeholder handling