Data and Analytics Engineering

2 weeks ago

bangalore, India Credit Saison India Full time
About Credit Saison:
A Neo-Lending Conglomerate here to enable India's credit growth story, Credit Saison India, emboldened by our Global MNC parent, is here to accelerate India's credit growth story: by building a Technology-Led Neo-Lending Conglomerate. Across our verticals, we offer bespoke solutions to meet the various credit needs of Individuals, SMEs, FinTech's, and NBFCs. Credit Saison India ("CS India"), having been founded in 2018, operates under the registered name Kisetsu Saison Finance India Private Limited as an MNC subsidiary of its parent company - Credit SaisonCo. Ltd in Japan. Across our various business verticals like Wholesale Financing, Co-origination Financing, Consumer Financing, and SME Financing we look towards reaching resilient Assets Under Management ("AUM") of US1bn in record time.More about us on & Responsibilities:
Define data architecture vision, strategy, principles, and standards.
Translate business requirements into databases, data warehouses, and data streams.
Develop standards for modelling, procedures, replication, regulations, and security.
Establish design patterns for hybrid on-premises and cloud environments.
Set standards and best practices for data and analytics products and define reference architecture.
Design and develop high-volume data ingestion components and ETL/ELT solutions.
Collaborate with teams to devise and implement data strategies, build models, and assess needs.
Meet project financial objectives by forecasting resource needs and estimating timelines.
Track emerging technologies and evaluate their applicability to business goals.
Recommend data governance processes and security standards to support development initiatives.
Required Skills & Qualifications:
6-10 years of hands-on experience in building data engineering and analytics applications, with at least 3 years in a Lead role.
Strong quantitative background in fields like Computer Science, Mathematics, Software Engineering, or Economics, with a degree from top-tier universities (IIT/IIIT/NIT/BITS).
5+ years of experience with data & analytics concepts such as data modelling, SQL optimization, ETL/ELT, reporting, data visualization, and data warehousing along with hands-on experience of general BI tools.
Strong organizational, communication, presentation, and project management skills with a proven ability to manage multiple processes, people, and projects.
Demonstrated ability to lead, mentor, and develop engineering teams, fostering a culture of continuous improvement, innovation, and technical excellence.
Proven history of collaborating with developers, architects, and cross-functional stakeholders, and experience in implementing data lineage and metadata solutions
Experience with data mining principles, predictive analytics, and strong SQL skills.
Hands-on experience with AWS technologies (DMS, Athena, Glue, Lambda, S3, RDS/Redshift)and scripting in Python or any AWS-supported language.
Working knowledge of designing architectures for large volume real-time data streams and component services.
Expertise in data governance processes, privacy, security standards, and implementing data lineage.

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