Senior Data Engineer

Greetings from Analytix Solutions…!!!

We are seeking an experienced and motivated Senior Data Engineer to join our AI & Automation team. The ideal candidate will have 6–8 years of experience in data engineering, with a proven track record of designing and implementing scalable data solutions. A strong background in database technologies, data modeling, and data pipeline orchestration is essential. Additionally, hands-on experience with generative AI technologies and their applications in data workflows will set you apart. In this role, you will lead data engineering efforts to enhance automation, drive efficiency, and deliver data-driven insights across the organization.

Company Name : Analytix Business Solutions

Company At Glance : We are a premier knowledge process outsourcing unit based in Ahmedabad, fully owned by Analytix Solutions LLC, headquartered in the USA. We customize a wide array of business solutions including IT services, Audio-Visual services, Data management services & Finance and accounting services for small and mid-size companies across diverse industries. We partner with and offer our services to Restaurants, Dental services, Dunkin' Donuts franchises, Hotels, Veterinary services, and others including Start-ups from any other industry. For more details about our organization, please click on https : / / www.analytix.com /

LinkedIn : Analytix Business Solutions (India) Pvt. Ltd. : My Company | LinkedIn

Roles & Responsibilities :

• Design, build, and maintain scalable, high-performance data pipelines and ETL / ELT processes across diverse database platforms.
• Architect and optimize data storage solutions to ensure reliability, security, and scalability.
• Leverage generative AI tools and models to enhance data engineering workflows, drive automation, and improve insight generation.
• Collaborate with cross-functional teams (Data Scientists, Analysts, and Engineers) to understand and deliver on data requirements.
• Develop and enforce data quality standards, governance policies, and monitoring systems to ensure data integrity.
• Create and maintain comprehensive documentation for data systems, workflows, and models.
• Implement data modeling best practices and optimize data retrieval processes for better performance.
• Stay up-to-date with emerging technologies and bring innovative solutions to the team.

Competencies & Skills :

Technology Stacks :

o SQL Databases : PostgreSQL, MySQL, SQL Server

o NoSQL Databases : MongoDB, Cassandra

o Data Warehouse / Unified Platforms : Snowflake, Redshift, BigQuery, Microsoft Fabric

Our EVP (Employee Value Proposition) :