Overview

We are looking for a Software Development Engineer (Analytics and AWS) with 2–4 years of experience who enjoys working across both data engineering and data analytics.

Responsibilities

• We are looking for a Software Development Engineer (Analytics and AWS) with 2–4 years of experience who enjoys working across both data engineering and data analytics.
• Design, develop, and maintain ETL/ELT pipelines for data ingestion, transformation, and loading.
• Build and support data pipelines using AWS Glue and Amazon S3.
• Develop Python-based data processing and automation solutions.
• Build and optimize data warehouse solutions using Snowflake.
• Develop and support workflow orchestration using Airflow and related services.
• Work with event-driven and streaming workflows using Kafka.
• Troubleshoot production issues and improve pipeline performance, scalability, and reliability.
• Analyze data to identify trends, issues, and insights.
• Use SQL and Snowflake for data analysis, validation, and investigation.
• Support data quality and reconciliation activities across multiple data sources.
• Work with business and technical teams to understand analytics requirements.
• Translate data findings into practical technical solutions.
• Support analytics and reporting use cases across multiple projects.
• Work on projects across Data Ingestion, Data Transformation, Data Quality, and Data Analytics.
• Develop efficient SQL queries for transformation, validation, and analytics.
• Implement and maintain Snowflake capabilities including RBAC, ABAC, Snowpipes, and Dynamic Tables.
• Develop AWS Glue ETL workflows and Python Shell jobs.
• Work with AWS services including Glue, Lambda, SNS, and S3.
• Ensure data accuracy, consistency, security, and operational reliability.
• Investigate data issues and perform root-cause analysis.
• Collaborate with engineers, analysts, and other stakeholders to understand requirements and deliver solutions.
• Document data processes, architecture, workflows, and operational procedures.
• Manage multiple projects and priorities based on business and team requirements.
• AWS
• AWS Glue
• AWS S3
• AWS Lambda
• AWS SNS
• Data & Analytics

Qualifications

• 2–4 years of experience in Data Engineering, Analytics Engineering, Software Development, or a related field.
• Strong hands-on experience with SQL and Python.
• Hands-on experience with AWS Glue and S3.
• Working experience with Snowflake.
• Strong analytical, debugging, and problem-solving skills.
• Ability to work on multiple projects and manage changing priorities.
• Strong collaboration and communication skills.
• An ownership mindset and attention to detail.
• Ability to learn new technologies and work effectively in a fast-paced Agile environment.
• Exposure to AWS EMR, Redshift, Athena, Step Functions, IAM, CloudWatch, or EventBridge.
• Working knowledge of Kafka and streaming architectures.
• Familiarity with data lakes and distributed systems.
• Understanding of data governance, security, and access controls.
• Relevant certifications such as:
• AWS Certified Cloud Practitioner
• AWS Certified Data Engineer – Associate
• AWS Certified Developer – Associate
• SnowPro Core
• SnowPro Advanced: Data Engineer
• SnowPro Specialty: Snowpark

Education

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Why This Role?
• Join a collaborative Data Engineering team working on diverse projects across data ingestion, data transformation, data quality, and analytics. This role offers hands-on exposure to both Data Engineering and Analytics, with opportunities to work with modern AWS, Snowflake, Python, and SQL technologies.