Job no: DEYAM
Are you a passionate ETL Developer with expertise in cloud-based data engineering, automation, and large-scale data processing?
Join a dynamic team where you'll play a key role in designing, developing, and optimizing enterprise-level data solutions.
- Work on cutting-edge technologies in cloud, big data, and automation.
- Collaborate with a high-performing team in a fast-paced environment.
- Shape the future of data engineering with innovative solutions.
What You’ll Do
- Design, develop, test, and maintain ETL/ELT data pipelines.
- Develop high-quality, scalable code in Python, SQL, Unix Shell, and PySpark.
- Work with AWS & Azure, leveraging services like S3, EC2, EMR, Lambda, Redshift, Databricks Delta Lake, and Terraform.
- Implement CI/CD pipelines using Jenkins, Docker, Kubernetes, Ansible, and GitHub.
- Optimize data models and database performance for Data Warehouses and Data Lakes.
- Collaborate with cross-functional teams and mentor junior developers.
- Troubleshoot, debug, and enhance existing systems for better efficiency.
What We’re Looking For
- MUST Have 8+ years of technical experience in banking (financial services experience is a plus).
- Experience and skills in Home Lending (Desirable)
- Strong background in ETL/ELT, data extraction, transformation, and integration.
- Hands-on expertise in cloud-based data engineering (AWS & Azure).
- Experience with big data technologies (Hadoop, Spark, Hive, Snowflake, Redshift).
- Solid knowledge of SQL, PL/SQL, Postgres, MySQL, Oracle, or DB2.
- Familiarity with Data Modelling (Star Schema, Data Vault 2.0).
- Data migration experience, SSIS, SSRS (Desirable)
- Strong problem-solving, analytical, and communication skills.
- Experience working in Agile development environments.
- Experience with Power BI and data visualization tools.
- Exposure to streaming data processing and serverless architectures.
- Hands on programming experience in writing Python, SQL, Unix Shell scripts, Pyspark scripts, in a complex enterprise environment
- Experience in Terraform, Kubernetes and Docker
- Experience with Source Control Tools - Github or BitBucket
- Published on 24 Apr 2025, 5:07 AM