Data Engineer

SNP Cloud Technologies; Hyderabad; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

SNP Cloud Technologies in Hyderabad, India, is seeking a Data Engineer to own end-to-end data pipelines and analytics initiatives. You will build ingestion, validation, and transformation workflows using ADF, Databricks, Synapse, and Fabric, and deliver insightful Power BI dashboards aligned with business KPIs.

The role demands hands-on experience with cloud data platforms, collaboration with cross-functional teams, and a passion for scalable, high-quality data solutions.

Qualifications

• 3.5 years of data engineer experience.
• Hands-on with ADF, Databricks, Synapse, SSIS, Power BI, Fabric.
• Strong data ingestion, validation, and quality framework experience.
• Ability to design scalable data models and transformations.
• Experience delivering dashboards in Power BI.
• Excellent collaboration across teams.

Responsibilities

• Design and implement pipelines to ingest data from databases, APIs, and files using ADF, SSIS, and Databricks.
• Apply robust data validation and quality checks for ingested data.
• Develop scalable data models and transformations in Synapse, Databricks, and Fabric.
• Deliver insights via Power BI dashboards aligned to KPIs.
• Own modules and contribute to end-to-end project delivery.
• Identify opportunities to optimize pipelines and automate tasks.
• Collaborate with architects, analysts, and stakeholders; provide clear docs.

Skills

Azure Data Factory

Databricks

Synapse Analytics

SSIS

Power BI

Microsoft Fabric

Spark

SQL

Job description

Job Description :

Data Engineer with 3.5 years of experience in modern data platforms and tools. The ideal candidate will have hands‑on expertise in Azure Data Factory (ADF), Databricks, Synapse Analytics, SSIS, Power BI, and Microsoft Fabric, along with proven contributions to project delivery, data ingestion, validation, and quality frameworks. This role requires strong technical ownership, the ability to collaborate across teams, and a passion for building scalable, high‑quality data solutions.

Position Responsibilities :

• Data Ingestion & Integration:

Design and implement pipelines to ingest data from diverse sources (databases, APIs, flat files, cloud services) using ADF, SSIS, and Databricks.

• Data Validation & Quality Checks:

Apply robust validation rules, quality checks, and reconciliation processes to ensure accuracy and reliability of ingested data.

• Data Modeling & Transformation:

Develop scalable data models and transformations in Synapse, Databricks, and Microsoft Fabric to support analytics and reporting needs.

• Reporting & Visualization:

Collaborate with business teams to deliver insights through Power BI dashboards and reports, ensuring alignment with business KPIs.

• Project Contribution & Ownership:

Take ownership of assigned modules, contribute to end‑to‑end project delivery, and maintain deep knowledge of the systems and processes within assigned projects.

• Innovation & Process Improvement:

Identify opportunities to optimize pipelines, automate repetitive tasks, and introduce new approaches to improve efficiency and scalability.

• Collaboration & Communication:

Work closely with architects, analysts, and business stakeholders to translate requirements into technical solutions. Provide clear documentation and communicate effectively during customer workshops and reviews.

Skill Set: Hands‑on experience with Azure Data Factory, Spark, SQL, SSIS, Databricks, Synapse, Microsoft Fabric.