About Us:
Saguna Consulting partners with organizations to transform bold ideas into scalable, long-lasting solutions through a blend of strategy, technology, and execution. With a human-centered and outcome-driven approach, Saguna collaborates with product-led teams, founders, and enterprises to deliver practical, intuitive, and impactful solutions. From early-stage concepts to production-ready platforms, the company acts as a trusted advisor, builder, and long-term partner.
Overview:
We are seeking a skilled Data Engineer with 5+ years of experience in designing, developing, and maintaining scalable data pipelines and data platforms. The ideal candidate will be responsible for building robust ETL/ELT processes, optimizing data workflows, and enabling data-driven decision-making across the organization.
Key Responsibilities:
- Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
- Develop and manage data warehouses, data lakes, and modern data architectures.
- Implement data ingestion, transformation, and integration processes from multiple sources.
- Optimize database performance, data storage, and query efficiency.
- Ensure data quality, governance, security, and compliance standards.
- Collaborate with Data Scientists, Analysts, and business teams to deliver reliable datasets.
- Automate data workflows and monitor pipeline performance.
- Support batch and real-time data processing requirements.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field.
- 5+ years of experience in Data Engineering and data platform development.
- Strong proficiency in Python, SQL, and one of Java or Scala.
- Hands-on experience with Apache Spark, Hadoop, and distributed data processing frameworks.
- Experience with ETL/ELT tools and workflow orchestration platforms such as Airflow.
- Expertise in data warehousing solutions such as Snowflake, Redshift, BigQuery, or Synapse.
- Experience with databases including PostgreSQL, MySQL, MongoDB, or similar technologies.
- Familiarity with Kafka or other streaming technologies.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Knowledge of Docker, Kubernetes, CI/CD, and DataOps practices.
Preferred Technical Exposure:
- Python
- Apache Spark , Hadoop
- ETL / ELT
- Airflow
- Data Warehousing Solutions
- DB : PostgreSQL , My SQL , MongoDB
- Kafka
- AWS , Azure or GCP
- Docker , Kubernets , CI/CD Pipeline
Would you like to grow forward together?
