Senior Data Engineer

Innovature; Ernakulam; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Innovature is seeking a data analyst in India to analyze customer, sales and product data, delivering actionable insights and enabling data-driven decisions. You will build reports and dashboards using Azure and Microsoft Fabric, collaborate with business teams on objectives, and explore cross-selling opportunities through customer and product analytics.

The role requires 4–8 years of relevant experience, strong SQL/Python/PySpark skills, and the ability to bridge between data engineers and

Qualifications

• 4-8 years of experience in a data analyst role analyzing customer, sales, and product data.

Responsibilities

• Analyze large volumes of analytical data (sales, customer, product) to identify patterns, trends, and insights.
• Develop and maintain data reports and dashboards using business intelligence tools (Azure / Microsoft Fabric).
• Collaborate with business teams to understand key business objectives and data needs.
• Analyze customer behavior, product usage, and historical purchase data to identify cross-selling opportunities.
• Ensure data models and structures are well-designed to facilitate analysis and reporting.
• Act as a bridge between data engineers and business stakeholders , ensuring data is aligned with business needs.

Skills

SQL

Python

PySpark

Spark

Data Engineering

Azure

Microsoft Fabric

ADF

Fabric Pipelines

Lakehouse

Data Warehouse

Notebooks

SQL Server

Azure SQL

Tools

Azure

Microsoft Fabric

ADF

Fabric Pipelines

Lakehouse

Data Warehouse

Notebooks

SQL Server

Azure SQL

Job description

4- 8 years of experience in a data analyst role with experience in analyzing customer data, sales data, and product data.

Key Responsibilities:

• Analyze large volumes of analytical data (sales, customer, product) to identify patterns, trends, and insights.
• Develop and maintain data reports and dashboards using business intelligence tools (Azure / Microsoft Fabric.)
• Collaborate with business teams to understand key business objectives and data needs.
• Analyze customer behavior, product usage, and historical purchase data to identify cross-selling opportunities.
• Ensure data models and structures are well-designed to facilitate analysis and reporting.
• Act as a bridge between data engineers and business stakeholders , ensuring data is aligned with business needs.

Skill set:

• 6- 8+ years of Data Engineering experience.
• Strong hands-on experience in Azure / Microsoft Fabric.
• ADF, Fabric Pipelines, Lakehouse, Data Warehouse, Notebooks.
• Strong SQL, Python, PySpark, and Spark skills.
• Strong database experience with SQL Server / Azure SQL, including complex queries, stored procedures, performance tuning, database design.
• Experience with ETL/ELT, Azure Data Lake, Delta Lake, Medallion Architecture, CDC/incremental loads, and data warehousing.
• Experience with Azure SQL Database, SQL Server, and/or other relational databases.
• Experience with CI/CD, Git, deployment, troubleshooting, and production support.
• Strong analytical, problem-solving, and communication skills.
• Excellent communication and presentation skills are essential.