Description :

About Analytix :

- Businesses of all sizes are faced with a rapidly changing competitive environment.

- Companies that possess both the ability to successfully navigate obstacles and the agility to react to market conditions are better positioned for long-term success.

- Analytix Solutions helps your company tackle these types of challenges.

- We empower business owners to confidently make informed decisions and positively impact profitability.

- We are a single-source provider of integrated solutions across multiple functional areas and disciplines.

- Through a combination of cross-disciplinary expertise, technological aptitude, and deep domain experience, we support our clients with efficient systems and processes, reliable data, and industry insights.

- We are your partner in strategically scaling your business for growth.

Job 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.

Qualifications :

- Bachelor's or Masters degree in Computer Science, Information Technology, or a related field.

- 58 years of experience in data engineering, designing and managing large-scale data systems.

- 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.

- 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).