Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and
expertise
in data, technology, and AI.
Inviting applications for the role of
Lead Consulta
nt- Snowflake Data
Engineer
(
Python+Cloud
)
!
In this role, the Snowflake Data Engineer
is responsible for
providing technical direction and lead a group of one or more developer to address a goal.
:
Experience in IT industry
Working experience with building productionized data ingestion and processing data pipelines in Snowflake
Strong understanding on Snowflake Architecture
Fully well-versed with data warehousing concepts.
Expertise
and excellent understanding of Snowflake features and integration of Snowflake with other data processing.
Able to create the data pipeline for ETL/ELT
Excellent presentation and communication skills, both written and verbal Ability to problem solve and architect in an environment with unclear requirements.
Able to create the
high level
and low-level design document based on requirement.
Hands on experience in configuration, troubleshooting,
testing
and managing data platforms, on premises or in the cloud.
Awareness on data visualisation tools and methodologies
Work independently on business problems and generate meaningful insights
Good to have some experience/knowledge on Snowpark or
Streamlit
or GenAI
but not mandatory.
Should have experience on implementing Snowflake Best Practices
Snowflake
SnowPro
Core Certification is must.
Roles and Responsibilities:
Requirement gathering, creating design document, providing solutions to customer, work with offshore team etc.
Writing SQL queries against Snowflake, developing scripts to do Extract, Load, and Transform data.
Hands-on experience with Snowflake utilities such as
SnowSQL
, Bulk copy, Snowpipe
, Tasks, Streams, Time travel, Cloning, Optimizer, Metadata Manager, data sharing, stored procedures and UDFs,
Snowsight.
Have experience with Snowflake cloud data warehouse and AWS S3 bucket or
Azure
blob storage container for integrating data from multiple source system.
Should have
have
some exp on AWS services (S3, Glue, Lambda) or Azure
services
( Blob Storage, ADLS gen2, ADF)
Should have
good experience
in Python/Pyspark.integration
with Snowflake and cloud (AWS/Azure) with ability to
leverage cloud services for data processing and storage.
Proficiency
in Python programming language, including knowledge of data types, variables, functions, loops, conditionals, and other Python-specific concepts.
Knowledge of ETL (Extract, Transform, Load) processes and tools, and ability to design and develop efficient ETL jobs using Python and
Pyspark
.
Should have some experience on Snowflake RBAC and data security.
Should have
good experience
in implementing CDC or SCD type-2
.
Should have
good experience
in implementing Snowflake Best Practices
In-depth understanding of Data Warehouse, ETL concepts and Data Modelling
Experience in requirement gathering, analysis, designing, development, and deployment.
Should Have experience building data ingestion pipeline
Optimize
and tune data pipelines for performance and scalability
Able to communicate with clients and lead team.
Proficiency
in working with Airflow or other workflow management tools for scheduling and managing ETL jobs.
Good to have experience in deployment using CI/CD tools and exp in repositories like Azure
repo ,
Github
etc.
Qualifications we
seek
in you!
Minimum qualifications
B.E./
Masters in Computer Science
, Information technology, or Computer engineering or any equivalent degree with good IT experience and relevant as Snowflake Data Engineer.
Skill Metrix:
Snowflake, Python/
PySpark
, AWS/Azure, ETL concepts, & Data Warehousing concepts
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race,
color
, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws.
Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. For more information, visit
www.genpact.com
. Follow us on Twitter, Facebook, LinkedIn, and YouTube.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants
are not required to
pay to participate
in our hiring process in any other way. Examples of such
scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.