Design, build, and maintain scalable ETL/ELT data pipelines and Snowflake-based data warehouses on AWS. Implement ingestion, transformation, orchestration, data quality, performance tuning, and monitoring; collaborate with stakeholders and troubleshoot production data platform issues.
Position: Data Engineer (Snowflake & AWS)
Location: Hyderabad/ Bangalore
Job Summary
We are looking for an experienced Data Engineer with strong expertise in Snowflake and AWS to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have hands-on experience in building ETL/ELT frameworks, data warehousing, data modeling, and processing large-scale datasets using modern cloud technologies.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
- Build and optimize data solutions using Snowflake and AWS services.
- Develop and maintain data ingestion, transformation, and orchestration workflows.
- Work with structured and unstructured data from multiple sources.
- Implement data quality, validation, monitoring, and governance processes.
- Optimize Snowflake data warehouse performance, storage, and query execution.
- Collaborate with business stakeholders, data analysts, and engineering teams to understand data requirements and deliver solutions.
- Create and maintain data models, schemas, and documentation.
- Troubleshoot production issues and ensure high availability of data platforms.
- Participate in code reviews, testing, deployment, and support activities.
Required Skills
- 5+ years of experience in Data Engineering.
- Strong hands-on experience with Snowflake (mandatory).
- Strong hands-on experience with AWS (mandatory), including services such as S3, Glue, Lambda, Redshift, Athena, EMR, ECS, or related services.
- Expertise in SQL and performance tuning.
- Strong programming skills in Python and PySpark.
- Experience with ETL/ELT tools and frameworks.
- Hands-on experience with data orchestration tools such as Airflow, ADF, or similar.
- Strong understanding of Data Warehousing concepts and Data Modeling (Star Schema, Snowflake Schema).
- Experience working with large-scale data processing and distributed computing frameworks.
- Knowledge of CI/CD, Git, and DevOps practices.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
- Strong communication and stakeholder management skills.
- Ability to work independently and collaboratively in a fast-paced environment
ContenTerra Software Pvt. Limited Hyderabad, Telangana, IND Office
Hyderabad, India
Similar Jobs
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Operate and secure SailPoint’s global SaaS infrastructure. Responsibilities include file integrity monitoring, audit evidence automation, base-image hardening, release automation, vulnerability remediation, compliance support, incident response, and on-call production operations. The role collaborates with engineering and cybersecurity teams to securely deploy services, improve operational practices, troubleshoot systems and networks, and maintain security across AWS or Azure environments.
Top Skills:
AWSAzureChefIdsIpsJenkinsPuppetPythonRubySIEMSirpTerraformWaf
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Defines end-to-end architectures for agentic AI, intelligent triage, and root-cause analysis platforms. Designs multi-agent systems, autonomous investigation workflows, human-in-the-loop controls, evaluation frameworks, and AI monitoring. Architects integrations across data, engineering, manufacturing, and AI platforms using APIs, microservices, and orchestration layers. Provides technical leadership, architectural governance, mentoring, and executive alignment while establishing standards for AI engineering, MLOps, and AgentOps.
Top Skills:
Agentic AiAgentopsAiopsAPIsAutogenAzure AiClaudeCloud-Native ArchitectureCrewaiDistributed SystemsGenerative AiGraphragKnowledge GraphsLangchainLanggraphLarge Language Models (Llms)MicroservicesMlopsNvidia AiOpenaiRag
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Defines enterprise data architecture for AI-driven triage and root-cause analysis systems. Designs data lakes, semantic layers, knowledge graphs, vector databases, schemas, ingestion pipelines, APIs, and governance frameworks. Establishes data quality, lineage, security, and observability standards across engineering and manufacturing domains. Enables GraphRAG, hybrid retrieval, agentic AI workflows, and low-latency inference at scale while partnering with cloud and infrastructure teams.
Top Skills:
Agentic AiAPIsArcadedbAWSAzureConfluenceData LakesData ModelingData WarehousesEtl/Elt PipelinesGoogle Cloud PlatformGraph DatabasesGraphragJIRAKnowledge GraphsLlm ApplicationsMetadata ManagementNeo4JRagTigergraphVector Databases
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
