Data Engineer

WE ARE HIRING!DATA ENGINEER

Build Data Pipelines. Power Intelligence. Drive Impact.

Join Strato Solutions and play a key role in collecting, transforming and delivering high-quality data that fuels analytics, AI and data-driven decision making for a smarter future.

BE PART OF A TEAM THAT TURNS DATA INTO INSIGHTS AND DRIVES REAL IMPACT.

JOB SCOPE

• Data Ingestion - Design and build scalable pipelines to ingest data from multiple sources (APIs, databases, files, streaming, logs, etc.).
• Data Transformation - Cleanse, transform and enrich data using ETL/ELT processes to ensure accuracy, consistency and business readiness.
• Data Modeling - Design efficient data models and schemas for data warehouses, data lakes and analytical platforms.
• Data Storage & Management - Design, implement and optimize storage solutions including data lakes, warehouse and databases.
• Data Quality & Governance - Implement validation, quality checks, metadata management and data governance best practices.
• Pipeline Orchestration & Automation - Schedule, monitor and automate data workflows using orchestration tools for reliability and performance.
• Performance & Optimization - Tune pipelines, queries and data architectures for performance, scalability and cost-efficiency.
• Monitoring & Reliability - Implement logging, monitoring, alerting and recovery strategies to ensure data reliability.
• Collaboration - Work closely with data analysts, data scientists, backend developers and business stakeholders.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering or related field.
• Strong foundation in data structures, algorithms and programming.
• Good understanding of databases, SQL and data warehousing concepts.
• Knowledge of data engineering principles, architectures and best practices.
• Passion for working with data and solving complex problems.

REQUIRED EXPERIENCE

• Minimum 2–5 years of experience in data engineering or related roles.
• Experience building end-to-end data pipelines using ETL/ELT tools and programming languages.
• Hands-on experience with SQL and relational & NoSQL databases.
• Experience with cloud platforms (AWS, Azure or GCP).
• Experience with big data, data warehouse or data lake solutions.
• Experience with orchestration tools and workflow scheduling.
• Experience with version control (Git) and CI/CD is an advantage.

KEY COMPETENCIES

• Data Pipeline Development
• ETL/ELT & Data Integration
• SQL & Query Optimization
• Data Modeling & Design
• Big Data Technologies
• Cloud Platforms
• Python / Scala / Java Programming
• Problem Solving & Analytical Thinking
• Data Quality & Governance
• Performance Tuning
• Automation & Scripting
• Team Collaboration & Communication

TECHNOLOGIES & TOOLS WE WORK WITH

• LANGUAGES: Python, Scala, Java, SQL
• DATA PROCESSING: Spark Apache, Airflow, kafka
• DATA STORAGE: S3, Azure Lake, PostgreSQL
• DATA WAREHOUSE: Snowflake, Redshift, BigQuery
• DEVOPS & TOOLS: Docker, GitHub, Jenkins

WHY JOIN US

• Work on meaningful projects that impact millions of lives.
• Collaborative and supportive team culture.
• Learning & certification opportunities.
• Competitive compensation & benefits.
• Flexible working arrangements.

DATA SOURCES -> INGEST -> PROCESS & TRANSFORM -> STORE -> ANALYZE & VISUALIZE