We are looking for a Data Engineer to build and optimize scalable data pipelines and infrastructure that support analytics, reporting, and operational intelligence. This role will play a key part in enabling data-driven decision-making across engineering, product, and business teams.

Key Responsibilities

⁠Data Pipeline Development & ETL

1. Design and implement scalable ETL/ELT pipelines using Python and SQL
2. Ingest structured and unstructured data from APIs, logs, and third-party systems
3. Optimize data workflows for performance, reliability, and maintainability

Data Warehousing & Modeling

1. Build and maintain data warehouse solutions (Snowflake, Redshift, or BigQuery)
2. Design clean, scalable data models to support analytics and reporting use cases
3. Improve query performance through partitioning, indexing, and optimization

Cloud & Infrastructure

1. Develop and manage data systems on cloud platforms (AWS preferred)
2. Use services such as S3, Glue, Lambda, and Airflow for orchestration
3. Ensure system scalability, availability, and cost efficiency

Data Quality & Governance

1. Implement data validation, monitoring, and anomaly detection frameworks
2. Enforce schema standards and ensure data consistency across systems
3. Collaborate with stakeholders to define and standardize business KPIs

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, MIS, Engineering, or related field
• 2+ years of experience in data engineering or a related role
• Strong proficiency in Python and SQL
• Experience with ETL pipelines and workflow orchestration tools (Airflow, dbt, etc.)
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Solid understanding of data warehousing and data modeling concepts

Preferred Qualifications

• Experience with streaming technologies (Kafka, Kinesis)
• Familiarity with Docker or Kubernetes
• Experience with BI tools such as Power BI, Tableau, or Looker
• Exposure to telecom, VoIP, or SaaS data environments is a plus

What We Offer

• Competitive salary and benefits package
• Opportunity to work on scalable, high-impact data systems
• Collaborative and fast-paced engineering environment
• Career growth and continuous learning opportunities