Job Summary We are looking for a skilled Data Engineer with strong expertise in Snowflake, ETL/ELT development, and cloud-based data warehousing solutions.
The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, data models, and data integration solutions to support business analytics and reporting requirements.
Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and loading into Snowflake.
Build and optimize Snowflake data warehouses, schemas, tables, views, and stored procedures.
Develop and maintain data models supporting reporting, analytics, and business intelligence requirements.
Integrate data from multiple sources including databases, APIs, flat files, and cloud applications.
Optimize SQL queries, ETL workflows, and Snowflake performance for cost and efficiency.
Implement data quality checks, validation frameworks, and monitoring processes.
Collaborate with business analysts, architects, and stakeholders to gather and translate requirements into technical solutions.
Troubleshoot production issues and provide support for data pipelines and ETL processes.
Ensure adherence to data governance, security, and compliance standards.
Create and maintain technical documentation, data dictionaries, and process workflows.
Required Skills Strong experience with Snowflake Data Warehouse .
Hands-on experience with ETL/ELT tools such as Informatica, Talend, Matillion, ADF, SSIS, or Airflow .
Strong SQL development and performance tuning skills.
Experience in data warehousing concepts, dimensional modeling, and schema design.
Proficiency in Python or Shell scripting for automation and data processing.
Experience with cloud platforms such as AWS, Azure, or GCP.
Knowledge of data ingestion frameworks, CDC, and batch/real-time processing.
Understanding of data quality, data governance, and security best practices.
Experience with CI/CD pipelines and version control tools like Git is preferred.
Preferred Qualifications Bachelor's degree in Computer Science, Information Technology, or related field.
Snowflake Certification (SnowPro Core/Advanced) is a plus.
Experience with dbt, Snowpark, or Spark is preferred.
Strong analytical, troubleshooting, and communication skills.
Nice to Have Experience with Databricks, Kafka, or PySpark.
Knowledge of Agile/Scrum methodologies.
Exposure to DevOps and Infrastructure-as-Code concepts.
Keywords: Snowflake, ETL, ELT, Informatica, Talend, Matillion, ADF, Airflow, SQL, Python, Data Warehouse, Data Modeling, Cloud Data Engineering, AWS, Azure, GCP.
