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
