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SeniorFull-timePythonAWSAzureMachine Learning
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Engineer to design, build, and maintain data processing pipelines for ETL operations. This role will develop robust solutions to transform data into useful formats for analysis and ensure secure data transfer between systems.
Key Responsibilities
- →Design, build, and maintain data processing pipelines for ETL operations
- →Develop technical tools leveraging AI, machine learning, and big-data techniques
- →Lead the writing of complex SQL queries to support analytics needs
- →Evaluate and recommend tools and technologies for data infrastructure
- →Collaborate with engineers, data scientists, and product teams to translate business requirements into technical specifications
Requirements
- ✓Deep expertise in Python, SQL, Informatica, Sigma, and distributed processing frameworks like Apache Spark, Databricks
- ✓Proven experience with cloud-based data platforms (AWS or Azure preferred)
- ✓Hands-on experience with data orchestration tools (Airflow, dbt) and data warehouses (Databricks, Snowflake, Redshift, BigQuery)
- ✓Strong understanding of data security, privacy, and compliance in financial services
- ✓Experience with structured and semi-structured data (Delta, JSON, Parquet, Avro) at scale
- ✓Bachelor's or master's degree in computer science, Engineering, or a related field
- ✓6-8 years of experience in data engineering, with a focus on financial systems on SaaS platforms
