▷ (Only 24h Left) Senior Data Engineer

2 days ago


Delhi, India Kinara Capital Full time
About Company Kinara Capital is a FinTech NBFC dedicated to

driving Financial Inclusion in the MSME sector.

Our mission is to transform lives, livelihoods,

and local economies by providing fast and

flexible loans without property collateral to

small business entrepreneurs. Led by a

women-majority management team, Kinara

Capital values diversity and inclusion and

fosters a collaborative working environment.

Kinara Capital is the only company from India

recognized globally by the World Bank/IFC

with a gold award in 2019 as ‘Bank of the

Year-Asia’ for our innovative work in SME

financing. Kinara Capital is an RBI-registered

Systemically Important NBFC.

Headquartered in Bangalore, we have 133

branches across Karnataka, Gujarat,

Maharashtra, Andhra Pradesh, Telangana,

Tamil Nadu, and UT Puducherry with more

than 2000 employees.

Title Data Engineer

Team Data Platform Team

Purpose of Job Development, testing, deployment and

ETL,ELT management of data integration

with enterprise data warehouse, data lake

and analytical systems

Job Components/Responsibilities As an Data Engineer, you will be a part of a

team, committed to orchestrate data

integration between multiple applications

and enterprise data warehouse and

analytical platforms.

You will:

● Design and implement ETL/ELT job

work flows from different source

systems into Enterprise data

warehouse.

● Developing the detailed design

structure after understanding the

requirements and the design.

● Implementing the best practices and

coding standards.

● Identifying the technical risk and

come up with mitigation action plan.

● Need to deliver the work product/

deliverable as per agreed

milestones.

● Should display a high degree of

adaptability to learn new

technologies as needed and

successfully manage the daily

challenges of a technical

environment.

Qualifications and requirements ● A Bachelor's/Master’s degree in

computer science, computer

engineering, or a related discipline

is required

● 2-3 years of experience working as

a Data Engineer

● Experience in working on ETL,ELT

and Data Pipelines

● Experience in AWS is preferred

● Experience in Snowflake is

preferred

● Experience in Airflow is preferred

● Experience in kinesis/Kafka is

preferred

● Experience in Python is preferred

● Experience in Mysql database is

preferred.

● Strong experience in advanced SQL

programming

● Data modelling experience is

preferred.

Preferred qualities ● Good Analytical and problem

solving skills

● Should be a team player with a

winning attitude

● Ability to adapt latest technologies

and successful implementation in

the projects

● Ability to collaborate with internal

and external stakeholders for

effective delivery of the projects.

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