Lead/Data Engineer

Company Introduction

Who are we?

Falcon a Series-A funded cloud-native, AI-first banking technology & processing platform that helps banks, NBFCs, and PPIs quickly and affordably launch next-gen financial products, such as credit card, credit line on UPI, prepaid card, fixed deposits, and loans.

Since our 2022 launch, weve processed USD 1 Bn+ in transactions, signed on 12 of India's top financial institutions, & clocked USD 15 Mn+ in revenue. Our company is backed by marquee investors from around the world, including heavyweight investors from Japan, USA, as well as leading Indian ventures and banks.

For more details, please visit https://falconfs.com/

Experience level : Intermediate (5-7 years)

Key Responsibilities:

1. Design, develop, and support scalable ETL processes using open source tools and data frameworks like AWS Glue, AWS Athena, redshift, Apache Kafka, Apache Spark, Apache Airflow and Pentaho Data Integration (PDI).
2. Design, creation and maintenance of data lakes and data warehouse on AWS cloud.
3. Maintain and optimise our data pipeline architecture, and formulate complex SQL queries for big data processing.
4. Collaborate with product and engineering teams to design and develop a platform for data modelling and machine learning operations.
5. Implement various data structures and algorithms to ensure we meet both functional and non-functional requirements.
6. Maintain data privacy and compliance according to industry standards.
7. Develop processes for monitoring and alerting on data quality issues.
8. Continually evaluate new open source technologies and stay updated with the latest data engineering trends.

Key Qualifications:

1. Bachelor’s or Master’s degree in Computer Science, MCA from a reputed institute
2. Minimum of 4 years experience in a data engineering role.
3. Experience using Python, Java, or Scala for data processing (Python preferred)
4. Demonstrably deep understanding of SQL and analytical data warehouses.
5. Solid experience with popular database frameworks such as PostgreSQL, MySQL, and MongoDB
6. Knowledge of AWS technologies like , lambda, Athena, glue and redshift
7. Hands-on experience implementing ETL (or ELT) best practices at scale.
8. Hands-on experience with data pipeline tools (Airflow, Luigi, Azkaban, dbt)
9. Experience with version control tools like Git.
10. Familiarity with Linux-based systems and cloud services, preferably in environments like AWS.
11. Strong analytical skills and ability to work in an agile and collaborative team environment.

Preferred Skills:

1. Certification in any open source big data technologies.
2. Expertise in open source big data technologies like Apache Hadoop, Apache Hive, and others.
3. Familiarity with data visualisation tools like Apache Superset, Grafana, tableau etc.
4. Experience in CI/CD processes and containerization technologies like Docker or Kubernetes.

Other specifics:

Location: Gurgaon

Job Type: Full Time