Sr. Data Engineer

Fractal Analytics; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Fractal Analytics in Bengaluru is seeking a data engineer to design, build, and maintain robust data infrastructure and pipelines. You will work on data models, storage solutions, and data quality initiatives to power business insights.

The role requires expertise across Azure, Databricks, Snowflake, Python, and PySpark, with a focus on scalable, reliable data systems. Collaboration with cross-functional teams is essential for prioritizing data use cases and delivering value.

Qualifications

• Mandatory: Azure, ADF, ADLS2, Databricks, Snowflake, Python, PySpark, and DevOps.
• Additional Skills: P&G frameworks like AI Factory, Ultimate, and Pygentic.

Responsibilities

• Designing, developing, and maintaining data infrastructure and systems.
• Design, develop, and maintain our data infrastructure and systems.
• Develop and maintain data pipelines to ingest data and ensure data quality and integrity.
• Design and implement data models and database schemas to support business objectives.
• Develop and maintain data pipelines to support data processing and analysis.
• Partner with cross-functional teams to identify and prioritize data requirements and use cases.
• Manage and optimize distributed systems and data storage solutions.
• Develop and maintain best practices and standards for data engineering within the organization.

Skills

Azure

ADF

ADLS2

Databricks

Snowflake

Python

PySpark

DevOps

Tools

AI Factory

Ultimate

Pygentic

Job description

Responsibilities:

• Designing, developing, and maintaining data infrastructure and systems.
• Design, develop, and maintain our data infrastructure and systems.
• Develop and maintain data pipelines to ingest data and ensure data quality and integrity.
• Design and implement data models and database schemas to support business objectives.
• Develop and maintain data pipelines to support data processing and analysis.
• Partner with cross-functional teams to identify and prioritize data requirements and use cases.
• Manage and optimize distributed systems and data storage solutions.
• Develop and maintain best practices and standards for data engineering within the organization.

Requirements:

• Mandatory: Azure, ADF, ADLS2 Databricks, Snowflake, Python, PySpark, and DevOps.
• Additional Skills: P& G frameworks like AI Factory, Ultimate, and Pygentic.