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Senior Data Engineer

Job ID: 5fd8db99-220c-4b52-ade8-3abc0bf69e0d

About Dilectus

Dilectus is expanding its data engineering talent network to connect experienced professionals with companies working on modern data platforms and enterprise analytics solutions.

We are inviting Snowflake Data Engineers to register with our talent network and showcase their experience in cloud data warehousing, data integration, transformation and large-scale data processing.

This category is suitable for professionals who enjoy working with complex datasets, building reliable data pipelines and developing scalable analytical data architectures.

Who Should Register?

We welcome professionals with experience in:

  • Snowflake data warehousing.

  • SQL-based data transformation.

  • ETL and ELT pipeline development.

  • Data modelling and data integration.

  • Cloud data platforms.

  • Data quality and performance optimization.

Technical Skills

Snowflake & Data Warehousing

  • Strong hands-on experience with Snowflake.

  • Snowflake architecture and warehouse management.

  • Virtual warehouses and resource optimization.

  • Time Travel and data recovery.

  • Snowflake Streams and Tasks.

  • Data sharing and secure data access.

SQL & Data Processing

  • Advanced SQL.

  • Stored procedures and query optimization.

  • Data transformation and validation.

  • Data modelling.

  • Performance tuning.

ETL & Integration

  • ETL/ELT pipeline development.

  • Snowflake integration with external data sources.

  • Experience with dbt or similar transformation tools.

  • Data ingestion and orchestration.

  • Incremental data loading.

Programming & Cloud

  • Python.

  • AWS, Azure or GCP.

  • Cloud storage integration.

  • Git and CI/CD fundamentals.

Preferred Additional Skills

  • Apache Airflow.

  • dbt.

  • Apache Spark.

  • Snowpipe.

  • Kafka.

  • Azure Data Factory.

  • Data Lakehouse architecture.

  • Data governance and security.

What Can You Expect from Dilectus?

  • Consideration for future Snowflake and data engineering opportunities.

  • Exposure to companies building modern data platforms.

  • Profile evaluation based on your technical expertise.

  • Communication when relevant opportunities arise.

  • Opportunities to connect with data engineering teams.

How Does Registration Work?

  1. Submit your updated resume through Dilectus.

  2. Our recruitment team reviews your Snowflake and data engineering experience.

  3. Your profile is categorized within our Snowflake Data Engineering talent pool.

  4. When a relevant client requirement becomes available, we may contact you to confirm your interest and availability.

  5. With your consent, your resume and professional profile will be shared with the relevant hiring client.

Important Information

  • This is a talent network registration opportunity, not a confirmed job vacancy.

  • Registration does not guarantee an interview or employment.

  • Registration is completely free.

  • Your resume will only be shared with a relevant hiring client after obtaining your consent.

  • Final hiring decisions are made by the respective client.

Turn data into insights. Showcase your data engineering expertise.

Register with Dilectus – Connecting Talent with Companies.

Must-have skills

Apache SparkSQLPythonETL processesData WarehousingAWS or Azure

Preferred skills

KafkaNoSQL databases

Nice-to-have skills

Machine LearningData Governance

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