Senior Data Engineer

InfoVision Inc.; Pune District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

InfoVision Inc. seeks an experienced Data Engineer with 5+ years of expertise in data engineering and analysis to design, develop, and optimize scalable data pipelines.

You will ingest, transform, and integrate data from multiple sources while ensuring quality, reliability, and performance within an Agile team. Strong ETL, data modeling, SQL, and reporting capabilities are essential, and experience with cloud analytics and modern data tooling is highly valued.

Qualifications

• 5+ years of data engineering and data analysis experience.
• Strong ETL, data modeling, SQL, and reporting skills.
• Experience designing and building data pipelines and cloud analytics solutions.

Responsibilities

• Design, develop, and optimize scalable data pipelines ingesting and transforming data from multiple sources.
• Collaborate with cross‑functional teams in an Agile environment to enable data‑driven decision making.
• Support reporting and analytics by ensuring data quality, reliability, and performance.

Skills

Data ingestion

Data processing

Analytical pipelines

Big data

Relational databases

Data warehousing

Agile

Cloud analytics

API ingestion

Streaming ingestion

CI/CD

Infrastructure as code

Azure

AWS

Azure Databricks

Azure Stream Analytics

Power BI

SAP BW/BPC

Python

Scala

SQL

Job description

We are seeking an experienced Data Engineer with 5+ years of expertise in Data Engineering and Data Analysis. The ideal candidate will play a key role in designing, developing, and optimizing scalable data pipelines that ingest, transform, and integrate data from multiple source systems while ensuring high data quality, reliability, and performance. Working in an Agile environment, the candidate will collaborate with cross-functional teams to build robust data solutions, support reporting and analytics, and enable data-driven decision‑making across the organization. Strong experience in ETL development, complex data modeling, SQL, and reporting is essential.

Technical Skills:

• Expertise in data ingestion, data processing and analytical pipelines for big data, relational databases, and data warehouse solutions
• Hands‑on experience with Agile software development
• Experience in designing and hands‑on development in cloud‑based analytics solutions.
• Designing and building of data pipelines using API ingestion and Streaming ingestion methods.
• Knowledge of Dev‑Ops processes (including CI/CD) and Infrastructure as code is essential.
• Thorough understanding of Azure and AWS Cloud Infrastructure offerings.
• Expertise in Azure Databricks, Azure Stream Analytics, Power BI is desirable
• Knowledge of SAP and BW/ BPC is desirable.
• Expert in Python, Scala, SQL is desirable