Senior Data Engineer

SNI is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide.

Responsibilities:

• Reverse-engineer and analyze existing behavioural data pipelines (DF2 and BAG), mapping data flows, transformation logic, schemas, and dependencies.

• Evaluate new data sources for schema compatibility, quality risks, mapping gaps, and performance benchmarks.

• Document schema equivalencies, technical comparisons, and data quality mitigation strategies.

• Partner with design teams to produce architectural specs for a unified, scalable future-state pipeline.

• Ensure data accuracy, output consistency, and system performance during migration planning.

Skills:

• 5+ years of data engineering experience focused on ETL/ELT pipelines, data mapping, and reverse engineering.

• Advanced SQL and Python (or Scala) skills for data profiling and transformation analysis.

• Cloud & Big Data platforms: AWS (S3, Redshift) and Apache Spark for large-scale data processing.

• Behavioral data architectures, event-driven ingestion, and complex schema mapping.

• Technical documentation and ability to deliver independently under tight deadlines.

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