Vacancy description
Nstarx India Private Limited
India, Hyderabad
NStarX - Data Engineer/Architect in Hyderabad, India is listed on Jobeax. Browse 30,000+ vacancies available.
Position: Data Engineer - ArchitectOpen Positions: 1Date: August 2026Skillset: Azure, Databricks, Snowflake, Spark, PySpark, SQL, Python, ADF/Airflow, Data Modeling, CI/CD, Terraform/Bicep, Data GovernanceExperience: 10 to 12+ YearsRequirement: Full-TimeLocation: Hyderabad - Work from OfficeCompany Description:At NStarX, we live by our mission: being the Lodestar to Success for enterprises navigating the rapidly evolving digital landscape. We build cutting-edge, production-ready platforms that integrate advanced AI, cloud-native architecture, and robust data engineering to solve complex business challenges at scale. If you thrive in a collaborative environment that values technical excellence, architectural ownership, and production-first innovation, NStarX is where your impact will https://jobeax.com/link/6Fw1k5yu1OW10CkD Description:We are looking for a Data Engineer - Architect who can bridge high-level data strategy with hands-on engineering. The role will own the design, architecture, governance, and technical direction of enterprise-grade data platforms using modern cloud and distributed-computing technologies. The ideal candidate will bring deep experience in Azure data architecture, Databricks/Snowflake, data modeling, orchestration, DevOps, Infrastructure-as-Code, security, performance optimization, and cloud cost https://jobeax.com/link/8l1HKAPsCuIcTvHp Responsibilities:- System Architecture: Design scalable, resilient, secure, and cost-effective data lakehouses and warehouses using modern patterns such as Medallion Architecture (Bronze/Silver/Gold).- Technical Leadership: Set engineering standards, conduct architecture and code reviews, establish reusable frameworks, and mentor data engineers on best practices.- Data Enablement: Deliver reliable, high-performance data platforms that support BI, data science, machine learning, and operational analytics.- Cloud Architecture: Design end-to-end Azure/cloud infrastructure blueprints covering storage, compute, RBAC, security, network isolation, scalability, and cost optimization.- Big Data & Processing: Architect and optimize Spark/Databricks/Snowflake workloads, including Delta Lake design, cluster sizing, partitioning, Z-Ordering, Vacuuming, clustering, and performance tuning.- Data Pipelines & Ingestion: Build and standardize production-grade PySpark, Python, and SQL pipelines supporting batch, micro-batch, streaming, and CDC ingestion patterns.- Data Modeling: Establish organizational data-modeling standards and design Star/Snowflake schemas, Kimball dimensional models, Data Vault patterns, and Lakehouse storage layers.- Orchestration: Architect workflow dependencies, retries, alerts, monitoring, and backfilling using Azure Data Factory, Airflow, or Databricks Workflows.- DevOps & CI/CD: Implement Git-based development standards and automated CI/CD pipelines using Azure DevOps or GitHub Actions for reliable data-platform deployments.- Infrastructure-as-Code: Design and implement infrastructure provisioning using Terraform, Bicep, or equivalent IaC frameworks.- Governance & Security: Implement metadata catalogs, lineage, data quality controls, access policies, and regulatory compliance practices using technologies such as Unity Catalog and Microsoft Purview.- Performance & FinOps: Benchmark workloads, resolve bottlenecks, optimize memory and compute configurations, monitor cloud consumption, and drive cost-efficiency across data https://jobeax.com/link/OBOjXtaMy7gZ1YGd and Experience:- Overall Experience: 10 to 12+ years of IT/software engineering experience, with at least 5 years in Azure data architecture, cloud platform design, or equivalent data-platform architecture.- Distributed Computing: 10+ years of experience working with distributed data processing or modern cloud data platforms, with strong hands-on exposure to Databricks, Spark, Snowflake, or equivalent technologies.- Data Architecture: Strong understanding of Lakehouse/Warehouse architecture, Medallion Architecture, scalability, resiliency, security, and cost optimization.- Data Modeling: Strong mastery of Kimball dimensional modeling, Star/Snowflake schemas, Data Vault, and analytical data design.- Programming: Strong hands-on expertise in Python/PySpark and SQL, including production-grade transformations and performance optimization.- Orchestration: Strong experience with Airflow, Azure Data Factory, Databricks Workflows, or equivalent orchestration platforms.- DevOps: Hands-on experience with Git, CI/CD, Infrastructure-as-Code, Terraform/Bicep, and automated deployment practices.- Cloud & Security: Strong understanding of Azure services, RBAC, identity, network isolation, security controls, monitoring, and enterprise governance.- Communication & Leadership: Ability to communicate architecture decisions clearly, lead technical discussions, mentor engineers, and work effectively with cross-functional https://jobeax.com/link/jlPlUfitT65DxRA8 to Have:- Governance: Experience with Unity Catalog, Microsoft Purview, metadata management, data lineage, data quality, GDPR, HIPAA, or other regulated-data environments.- Monitoring: Experience with Azure Monitor, Log Analytics, operational alerting, and platform observability.- Cloud Breadth: Exposure to AWS or GCP data platforms in addition to Azure.- Modern Data Engineering: Experience with CDC, streaming architectures, reusable ingestion frameworks, and platform engineering practices. (ref:hirist.tech)
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