•••• 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:

  • Design, construct, and support enterprise-grade data pipelines using Databricks, PySpark, and SQL.

  • Build and govern robust dimensional data models, ETL/ELT workflows, and high-performance reporting datasets.

  • Profile, tune, and optimize pipeline performance, resource utilization, and overall data quality across the platform.

  • Partner with risk analysts, business stakeholders, and software developers to translate business logic into scalable data solutions.

  • Contribute to cloud data architecture, CI/CD automation, pipeline monitoring, and data governance standards.

  • Mentor junior and mid-level data engineers while championing clean engineering standards and automated testing.

Skills:

  • Strong hands-on engineering experience with Databricks and PySpark.

  • Advanced SQL and deep expertise in enterprise data warehousing and modeling.

  • Working experience with cloud data ecosystems, specifically Azure Data Lake (ADLS) and Azure Data Factory (ADF) or equivalent cloud tooling.

  • Proven track record implementing ETL/ELT pipelines and executing performance tuning on large-scale datasets.

  • Experience collaborating within Agile/Scrum cross-functional delivery teams.

  • Background in Financial Services, Risk Management, Regulatory reporting, or ESG technology.

  • Proficiency with general-purpose Python scripting, cloud DevOps/CI/CD practices, and cloud-native patterns.

  • Experience building or integrating datasets for Power BI reporting and visualization.

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