Data Engineer – Analytics & AWS

Role Overview:

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

In this role, you will build and support scalable data pipelines while also working with data for analysis, data quality, transformation, and analytics use cases . You will work with modern AWS and Snowflake technologies and collaborate with cross-functional teams to deliver reliable, business-ready data solutions.

The ideal candidate has strong hands-on experience with AWS Glue, S3, SQL, Python, and Snowflake , along with a good understanding of ETL/ELT and data analytics.

What You’ll Work On:

Data Engineering

• 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.

Data Analytics

• 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.

Key Responsibilities:

• 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.

Core Technical Skills:

• AWS
• AWS Glue
• AWS S3
• AWS Lambda
• AWS SNS
• Data & Analytics
• SQL
• Snowflake
• ETL/ELT
• Data Warehousing
• Data Quality
• Data Analysis
• Programming
• Python
• Data & Workflow Technologies
• Airflow
• Kafka

What You’ll Bring:

• 2–4 years of experience in Data Engineering, Analytics Engineering, Software Development, or a related field.
• Strong hands-on experience with SQL and Python .
• Experience building or supporting ETL/ELT pipelines .
• Hands-on experience with AWS Glue and S3 .
• Working experience with Snowflake .
• Experience working with data for both engineering and analytical purposes .
• 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.

Good to Have:

• Experience with Pentaho for ETL/data integration.
• 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.
• Experience working with analytics, reporting, or business intelligence use cases.
• 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 t…