Custom Software Engineer

Data Engineer

Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills: T-SQL or SnowSQL + Airflow or DBT or ETL + Python + AWS (S3, EC2, Lambda). Good to have skills: CI/CD tools like GitHub, Jenkins. Minimum 4 year(s) of experience is required. Educational Qualification: 15 years full time education.

Summary: As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support analytics, reporting, and machine learning. This role involves developing ETL/ELT workflows, optimizing data models, driving performance improvement to handle large datasets and complex analytical queries, and ensuring data quality and security across cloud platforms like AWS. Data Engineers collaborate with business, BI, and development team members to align data solutions with organizational goals.

Roles & Responsibilities:

• Design, develop, and maintain database objects and data pipelines using PostgreSQL and Python.
• Collaborate with business stakeholders and cross-functional teams to understand business requirements and translate them into technical solutions.
• Write efficient SQL and PL/pgSQL code, including functions, procedures, and complex queries.
• Maintain clear and accurate technical documentation.
• Participate in code reviews to ensure quality and adherence to best practices.
• Stay updated on PostgreSQL features and best practices for analytics and transactional systems.

Must Have Tools & Languages:

• Python, SQL (T-SQL, SnowSQL)
• Airflow, DBT, ETL
• Snowflake or Postgres
• AWS (S3, EC2, Lambda)

Nice to Have:

• Tableau, Power BI
• CI/CD tools like GitHub, Jenkins

Good To Have:

• Experience in data modeling for analytical reporting and large-scale datasets.
• Optimize SQL and PL/pgSQL code for performance and maintainability.
• Tune performance for large datasets and high-volume workloads.

15 years full time education.