Data Engineer

4 days ago

Mumbai, Maharashtra, India Axis Finance (AFL) Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Key Responsibilities:

Should have experience in below

  • Design, develop, and implement a Data Lake House architecture on AWS, ensuring scalability, flexibility, and performance.
  • Build ETL/ELT pipelines for ingesting, transforming, and processing structured and unstructured data.
  • Collaborate with cross-functional teams to gather data requirements and deliver data solutions aligned with business needs.
  • Develop and manage data models, schemas, and data lakes for analytics, reporting, and BI purposes.
  • Implement data governance practices, ensuring data quality, security, and compliance.
  • Perform data integration between on-premise and cloud systems using AWS services.
  • Monitor and troubleshoot data pipelines and infrastructure for reliability and scalability.

Skills and Qualifications:

  • 7 + years of experience in data engineering, with a focus on cloud data platforms.
  • Strong experience with AWS services: S3, Glue, Redshift, Athena, Lambda, IAM, RDS, and EC2.
  • Hands-on experience in building data lakes, data warehouses, and lake house architectures.
  • Should have experience in ETL/ELT pipelines using tools like AWS Glue, Apache Spark, or similar.
  • Expertise in SQL and Python or Java for data processing and transformations.
  • Familiarity with data modeling and schema design in cloud environments.
  • Understanding of data security and governance practices, including IAM policies and data encryption.
  • Experience with big data technologies (e.g., Hadoop, Spark) and data streaming services (e.g., Kinesis, Kafka).
  • Have lending domain knowledge will be added advantage

Preferred Skills:

  • Experience with Databricks or similar platforms for data engineering.
  • Familiarity with DevOps practices for deploying data solutions on AWS (CI/CD pipelines).
  • Knowledge of API integration and cloud data migration strategies.

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