Senior Data Engineer

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Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Job Description

Design, develop, and maintain scalable data pipelines.

Implement data integration, transformation, and quality processes.

Write, optimize, and troubleshoot complex SQL queries.

Ensure the reliability, performance, and security of data systems.

Collaborate with data scientists, analysts, and other engineers to meet business requirements.

Participate in performance tuning and database optimization.

Create and maintain technical documentation of data flows and processes.

Ensure data accuracy and integrity through effective monitoring and testing.

Provide support and troubleshooting for data-related issues.

Provide mentorship and guidance to junior team members, helping them develop their skills and grow professionally.

Collaborate with cross-functional teams to integrate data from multiple sources and ensure data quality and consistency.

Implement best practices for data governance, security, and compliance to ensure data integrity and privacy

Mandatory/Required

Experience with MPP Relational Databases such as Synapse.

Advanced SQL expertise – ability to write complex queries, perform database tuning, and optimize queries.

Experience with designing and maintaining ETL pipelines and data warehousing.

Experience in Databricks - Delta Live Table design and development

Familiarity with Azure cloud-based data solutions Strong problem-solving and analytical skills.

Excellent communication and teamwork abilities.

Good to have

Knowledge of Informatica for ETL processes.

Experience with big data technologies (e.g., Hadoop, Spark).

Exposure to programming languages like Python, Pyspark or Java for data manipulation and automation

Exposure to data governance and compliance standards.

Exposure to CI/CD framework

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting and Business Consulting and Services

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