Skills
Required
database
agility
react
combination
support
data
scaling
accounting
billing
visual
design
etl
storage
reliability
security
scalability
ai
engineering
drive
automation
documentation
retrieval
technology
sql
postgresql
mysql
server
nosql
mongodb
redshift
python
processing
pyspark
apache
airflow
informatica
talend
pipeline
orchestration
architecture
governance
azure
Job
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 Website- Small Business Accounting Bookkeeping, Medical Billing, Audio Visual, IT Outsourcing Services (analytix.com) LinkedIn : Analytix Solutions: Overview | LinkedIn Analytix Business Solutions (India) Pvt. Ltd. : My Company | LinkedIn Job Description: 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. Create and maintain comprehensive documentation for data systems, workflows, and models. Implement data modeling best practices and optimize data retrieval processes for better performance. Qualifications : Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field. 5–8 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 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. Show more Show less
