Senior Database Administrator

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 :

Bachelor's or Master’s degree

in Computer Science, Information Technology, or a related field.

6–8 years of experience

in

data engineering , designing and managing large-scale data systems.

Advanced knowledge of

Database Management Systems

and

ETL / ELT processes .

Expertise in

data modeling ,

data quality , and

data governance .

Proficiency in

Python programming ,

version control systems

(Git), and

data pipeline orchestration tools .

Familiarity with

AI / ML technologies

and their application in data engineering.

Strong problem-solving and analytical skills, with the ability to troubleshoot complex data issues.

Excellent

communication skills , with the ability to explain technical concepts to non-technical stakeholders.

Ability to work independently, lead projects, and mentor junior team members.

Commitment to staying current with emerging technologies, trends, and best practices in the data engineering domain.

Technology Stacks :

Strong expertise in database technologies, including :

SQL Databases : PostgreSQL, MySQL, SQL Server

NoSQL Databases : MongoDB, Cassandra

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

Hands-on experience implementing and working with

generative AI tools and models

in production workflows.

Proficiency in

Python

and

SQL , with experience in data processing frameworks

(e.g., Pandas, PySpark).

Experience with

ETL tools

(e.g., Apache Airflow, MS Fabric, Informatica, Talend) and

data pipeline orchestration platforms .

Strong understanding of

data architecture ,

data modeling , and

data governance principles .

Experience with

cloud platforms

(preferably

Azure ) and associated data services.

Our EVP (Employee Value Proposition) :

5 Days working

Compensatory Off

Personal Development Allowances

Career progression and Learning & Development

Loyalty Bonus Benefits

Medical Reimbursement