Data Engineer

Alphabridge is a dynamic tech company focused on empowering startups and mid-sized businesses with innovative solutions that drive growth and scalability. We specialize in providing cutting-edge software, strategic consulting, and technology infrastructure designed to streamline operations, enhance productivity, and foster sustainable expansion. With a commitment to delivering tailored solutions, Alphabridge helps businesses optimize their processes and succeed in a competitive digital landscape.

Location: DHA Phase 5

Timings: 6:00 PM - 3:00 AM

About the Role

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and analytics platforms across cloud environments. The ideal candidate will have hands-on experience with AWS , Ab Initio , Snowflake , SnapLogic , Databricks , Terraform , and Azure , and will play a key role in deliivering reliable, high-quality data solutions for analytics and business intelligence.

Core Responsibilities:

• Design, develop, and maintain end-to-end data pipelines using Ab Initio , SnapLogic , and cloud-native services.
• Build and optimize data ingestion, transformation, and orchestration workflows across multiple data sources.
• Develop and manage data warehouses and data lakes using Snowflake , AWS , and Azure .
• Implement scalable data processing solutions using Databricks (Apache Spark) .
• Optimize data models, queries, and performance for large-scale datasets.
• Use Terraform to provision and manage cloud infrastructure following Infrastructure as Code (IaC) best practices.
• Ensure data quality, reliability, and security across all data pipelines.
• Collaborate with analytics, BI, and application teams to support reporting and advanced analytics.
• Monitor, troubleshoot, and resolve pipeline failures and performance issues.
• Document data flows, architectures, and operational processes.

Required Qualifications:

• 3+ years of experience as a Data Engineer or similar role.
• Strong hands-on experience with AWS services (e.g., S3, EC2, Glue, Lambda, Redshift).
• Experience with Ab Initio for enterprise data integration and transformation.
• Proficiency in Snowflake (data modeling, performance tuning, security).
• Hands-on experience with SnapLogic for iPaaS-based integrations.
• Strong experience with Databricks / Apache Spark .
• Experience with Terraform for cloud infrastructure automation.
• Working knowledge of Azure data services (e.g., ADLS, Azure Data Factory, Synapse).
• Proficiency in SQL and at least one programming language (Python preferred).
• Understanding of data warehousing concepts, ETL/ELT, and cloud architectures.

Nice to Have:

• Experience with dbt, Terraform, or IaC tools
• Experience working in multi-cloud environments (AWS + Azure).
• Knowledge of CI/CD for data pipelines.
• Familiarity with data governance, lineage, and metadata management tools.
• Experience with streaming platforms (Kafka, Kinesis, or Event Hubs).