Cloud Data Engineer Position

3 weeks ago


Gurgaon, Haryana, India Falcon Full time
Job Description

About the Company

Falcon is a leading cloud-native, AI-first banking technology and processing platform that helps banks, NBFCs, and PPIs launch next-gen financial products quickly and affordably. Our company has processed USD 1 Bn+ in transactions and signed on 12 of India's top financial institutions.

Salary Estimate

Rupees 25-35 lakhs per annum (based on experience and location).

Key Responsibilities

  • 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.
  • Design, creation, and maintenance of data lakes and data warehouses on AWS cloud.
  • Maintain and optimize our data pipeline architecture, formulate complex SQL queries for big data processing.
  • Collaborate with product and engineering teams to design and develop a platform for data modeling and machine learning operations.
  • Implement various data structures and algorithms to ensure we meet both functional and non-functional requirements.
  • Maintain data privacy and compliance according to industry standards.
  • Develop processes for monitoring and alerting on data quality issues.
  • Continually evaluate new open source technologies and stay updated with the latest data engineering trends.

Required Skills and Qualifications

  • Bachelor's or Master's degree in Computer Science, MCA from a reputed institute.
  • Minimum of 4 years experience in a data engineering role.
  • Experience using Python, Java, or Scala for data processing (Python preferred).
  • Demonstrably deep understanding of SQL and analytical data warehouses.
  • Solid experience with popular database frameworks such as PostgreSQL, MySQL, and MongoDB.
  • Knowledge of AWS technologies like Lambda, Athena, Glue, and Redshift.
  • Hands-on experience implementing ETL (or ELT) best practices at scale.
  • Hands-on experience with data pipeline tools (Airflow, Luigi, Azkaban, dbt).
  • Experience with version control tools like Git.
  • Familiarity with Linux-based systems and cloud services, preferably in environments like AWS.

Benefits

  • Friendly and collaborative work environment.
  • Opportunities for growth and professional development.
  • A competitive salary and benefits package.


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