Lead Data Architect
2 weeks ago
Kinara Capital is a pioneering FinTech NBFC dedicated to driving Financial Inclusion in the MSME sector. Our mission is to empower lives, livelihoods, and local economies by providing fast and flexible loans without property collateral to small business entrepreneurs.
As a leader in innovative work in SME financing, Kinara Capital has received global recognition from the World Bank/IFC with a gold award as 'Bank of the Year-Asia' in 2019. We are an RBI-registered Systemically Important NBFC.
We have a strong presence across Karnataka, Gujarat, Maharashtra, Andhra Pradesh, Telangana, Tamil Nadu, and UT Puducherry with over 1,000 employees.
Job Overview: Principal Data EngineerWe are seeking an experienced Principal Data Engineer to lead our team in designing and building warehouse and data lake frameworks, creating pipelines, and delivering high-quality solutions.
The ideal candidate will have extensive experience in leading teams, AWS Cloud, data modeling, Python, PySpark, SQL, Pandas, and hands-on experience in building data lakes and data warehousing.
The role involves solid understanding of data warehousing concepts, implementing data warehouses, and working on real-time and batch processing using Spark ecosystem.
AWS Glue, EMR, DMS, Lambda, S3, DynamoDB, Step functions, Airflow, RDS, Aurora, Redshift, Snowflake, Kafka, Kinesis, and modern database systems are essential skills required for this position.
This is an exciting opportunity to join Kinara Capital's technology team and contribute to shaping the future of financial inclusion.
Key Responsibilities:- Total 6+ years of experience in Data Engineering field and Data modelling.
- Minimum 5 years of AWS Cloud experience.
- 2+ years of experience in leading teams.
- Well-versed in languages such as Python, PySpark, SQL, Pandas, etc.
- Hands-on experience in building data lakes and data modelling.
- Solid understanding of Data Warehousing Concepts.
- Must have hands-on experience of implementing the datawarehouse.
- Has extensive experience in Spark ecosystem and has worked on both real-time and batch processing.
- Experience with modern Database systems such as Redshift, Snowflake, etc.
- Worked on building data lakes in the past on S3 or Apache Hudi.
- At least a bachelor's degree in Engineering.
- Learning Attitude, Ownership Skills, Delivery.
Head office, Bangalore.
Job Type:Full Time
No. of Posts:1
Salary Estimate:Rs. 25-30 lakhs per annum
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