So… why is it free?

Employers pay when they hire through Elip. You're not the product — you're the talent it finds. No contracts, no card. Not useful? One message wipes everything. No hidden Pro tier. No “contact sales.” This is the entire pricing page.

Data Engineer – Analytics & AWS at Health Catalyst — Hyderabad

Experience2–4 yrs
SalaryNot disclosed
Work modeonsite
Posted26 Sept 2026

Apply for this job

About Health Catalyst

Health Catalyst is hiring in Hyderabad in healthcare. This role looks for around 2+ years of experience.

Skills

AWS Glue
Amazon S3
AWS Lambda
AWS SNS
SQL
Snowflake
ETL/ELT
Python
Airflow

The role

A data engineer at a healthcare technology company builds data pipelines and analytics solutions using Snowflake and AWS Glue, with Python and SQL for transformation, validation, and data quality. The role also supports workflow orchestration and streaming data through Airflow and Kafka.

Full job description

About This Job

Health Catalyst

Location: Hyderabad, Telangana, India

Work Mode: On-site

Industry: IT Services and IT Consulting

Job Description

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

AWSAWS GlueAWS S3AWS LambdaAWS SNSData & AnalyticsSQLSnowflakeETL/ELTData WarehousingData QualityData AnalysisProgrammingPythonData & Workflow TechnologiesAirflowKafka

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 PractitionerAWS Certified Data Engineer – AssociateAWS Certified Developer – AssociateSnowPro CoreSnowPro Advanced: Data EngineerSnowPro 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.