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 up-to-date 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 positive 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 Agile 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 rapid-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 team-oriented 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 .

📌 Data Engineer – Analytics & AWS (Hyderabad)
🏢 Health Catalyst
📍 Hyderabad