While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Role & Responsibilities
- Work with business users and other stakeholders to understand business processes.
Ability to design and implement Dimensional and Fact tables
- Identify and implement data transformation/cleansing requirements
- Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and
load data from various systems to the Enterprise Data Warehouse
- Develop conceptual, logical and physical data models with associated metadata including data lineage and
technical data definitions
- Design, develop and maintain ETL workflows and mappings using the appropriate data load technique
Provide research, high-level design and estimates for data transformation and data integration from source
applications to end-user BI solutions.
- Provide production support of ETL processes to ensure timely completion and availability of data in the data
warehouse for reporting use.
- Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to
evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining
data integrity and data quality.
- Work collaboratively with key stakeholders to translate business information needs into well-defined data
requirements to implement the BI solutions.
- Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract, and transform
into reporting & analytics.
- Build transformation Jobs on SnowFlake to transform source data to target schema used in BI tools.
- Develop and support data governance processes, analyze data to identify and articulate trends, patterns,
outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.
- Train business end-users, IT analysts, and developers.
Required Skills
- Bachelor’s degree in Computer Science or similar field or equivalent work experience.
- Experience with Snowflake warehouse and developing applications on Snowflake, SnowSQL, Snowpipe,
Javascript UDF & Stored procedures is must have.
- Strong in SQL is must have.
- Hands on experience with Big Data, Python, Redshift/Big Query warehouse.
- Knowledge of Data ingestion and Engineering Platforms is must have
- Good understanding and experience on Data Warehousing or Data Integration projects is must have.
- Good knowledge of at least one ETL tool and experience of creating data pipelines is must have.
- IICS/Informatica knowledge is a good to have
- Knowledge of the Insurance domain is good to have.
- Expert with data warehousing standards, strategies and tools.
- Expert with SDLC processes.
- Strong knowledge of relational databases preferably ORACLE and SQL Server.
- Knowledge of Python UNIX/LINUX shell scripting is must
- Strong problem-solving, multitasking and organizational skills.
- Good written and verbal communication skills.
- Demonstrated experience of leading a team spread across multiple locations.
- Migration experience from On Premise Source to Snowflake
- Experience with Data Ingestion into SnowFlake such as Snowpipe, Bulk Copy Commands
- Experience in data modeling techniques such as de-normalized, star and snowflake schemas.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us
!