About the Role :
We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and modern data platforms.
You will work with cloud ecosystems, advanced SQL, and data modeling tools to enable seamless integration, transformation, and delivery of reliable datasets for business intelligence, analytics, and machine learning.
Key Responsibilities :
- Design and develop scalable, reliable, and secure data pipelines for structured and unstructured data.
- Build and maintain data models, schemas, and transformations to support analytics and reporting.
- Implement and manage data workflows using orchestration tools (Airflow, Prefect, etc.
- Work with cloud platforms (AWS, GCP, Azure) and data warehouses (Snowflake, BigQuery, Redshift, Synapse).
- Write, optimize, and debug complex SQL queries and database objects for transformation and validation.
- Ensure data quality, governance, and lineage tracking across pipelines.
- Collaborate with analysts, data scientists, and business stakeholders to understand requirements and deliver solutions.
- Implement CI / CD, version control (Git), and automation scripts for data operations.
- Troubleshoot pipeline failures and perform root cause analysis to ensure platform reliability.
Required Skills & Qualifications :
57 years of hands-on experience as a Data Engineer.Strong expertise in SQL, data modeling, and performance optimization.Experience with ETL / ELT frameworks and tools (DBT, Informatica, Talend, etc.Proven experience with cloud-native data services (AWS Glue, GCP Dataflow, Azure Data Factory).Proficiency in Python, Scala, or Java for data processing and automation.Good understanding of data warehouse concepts (star / snowflake schema, dimensional modeling).Familiarity with data governance, security, and compliance standards.Experience with Agile methodologies, Git, and CI / CD pipelines.Preferred Qualifications :
Exposure to streaming data platforms (Kafka, Kinesis, Pub / Sub).Experience with containerization & orchestration (Docker, Kubernetes).Knowledge of BI / analytics tools (Tableau, Power BI, Looker).Familiarity with machine learning workflows and data for AI / ML models.Why Join Us ?
Work with modern cloud-native data platforms.Drive business-critical data solutions with high impact.Collaborative, learning-focused environment.Competitive compensation and growth opportunities(ref : hirist.tech)