- Need to have a working knowledge of AWS Redshift.
- Minimum 1 year of designing and implementing a fully operational production-grade large-scale data solution on Snowflake Data Warehouse.
- 3 years of hands-on experience with building productized data ingestion and processing pipelines using Spark, Scala, Python
- 2 years of hands-on experience designing and implementing production-grade data warehousing solutions
- Expertise and excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
- Excellent presentation and communication skills, both written and verbal
- Ability to problem-solve and architect in an environment with unclear requirements
Designation: Specialist - Cloud Service Developer (ABL_SS_600)
We are actively seeking a Senior Data Engineer experienced in building data pipelines and integrations from 3rd party data sources by writing custom automated ETL jobs using Python. The role will work in partnership with other members of the Business Analytics team to support the development and implementation of new and existing data warehouse solutions for our clients. This includes designing database import/export processes used to generate client data warehouse deliverables.
You will work on:
We help many of our clients make sense of their large investments in data – be it building analytics solutions or machine learning applications. You will work on cutting edge cloud native technologies to crunch terabytes of data into meaningful insights.
What you will do (Responsibilities):
What you bring (Skills):
Great if you know (Skills):
Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business first approach to help meet our client’s strategic goals.
We are an Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern and cloud-native way.
ETL Developer – Talend
best practices and are maintainable, modular and reusable.
repository in order to structure the processes and data for better management and efficient
all tables and requirement specifications.
Load balancing setup, and all its administrative functions.
dimensional data, OLAP cubes and various forms of BI content including reports, dashboards,
and analytical models.
Skills and Qualification: