Bluelight Consulting

Bluelight Consulting

Bluelight Consulting is a leading Nearshore Software Development company that provides access to highly skilled Nearshore Tech Talent in the US timezone. They offer services such as Nearshore Staffing, Cloud consulting, Cloud migration strategies, and ...

Internet Software & Services
11-50
Founded 2015

Description

  • Develop and maintain ETL processes using Python (PySpark) in Azure Synapse Analytics notebooks and pipelines.
  • Design and build data storage structures using data warehousing concepts such as star schemas, facts, and dimensions in an MPP SQL pool.
  • Extract and integrate data from REST APIs, SQL database tables, and CSV files.
  • Design, optimize, and scale Azure Synapse Analytics notebooks and pipelines for performance and reliability.
  • Contribute to data fabric initiatives including data lakes, lakehouses, delta lakes, and data cataloging.
  • Collaborate with data architects to create data models and schemas aligned with business requirements.
  • Implement data quality checks and validation processes to ensure accuracy and consistency.
  • Monitor ETL jobs, troubleshoot failures, and resolve performance bottlenecks to meet SLAs.
  • Maintain documentation for ETL processes, data flows, and data transformations.
  • Work with cross-functional teams to gather requirements and support data-related initiatives while ensuring security and compliance.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
  • Proven experience in ETL data engineering using Python (PySpark) for data extraction, transformation, and loading.
  • Experience working with REST APIs, SQL database tables, and CSV files as data sources.
  • Proficiency with Azure Synapse Analytics, including Notebooks, Pipelines, Linked Services, and Azure Key Vault.
  • Ability to write complex SQL queries, optimize query performance, and work with SparkSQL and MS SQL.
  • Knowledge of data integration best practices and tools.
  • Experience using version control systems such as Git and Azure DevOps.
  • Strong problem-solving and analytical skills with close attention to detail.
  • Excellent verbal and written communication skills and the ability to work collaboratively in a team environment with shifting priorities.
  • Preferred experience with big data technologies, machine learning, data analysis, data visualization tools such as Power BI or Tableau, and Agile methodologies.
  • Azure Data Engineer certification or other data engineering/data science certifications is a plus.

Benefits

  • Competitive salary and bonuses, including performance-based salary increases.
  • Generous paid time off policy.
  • Flexible working hours.
  • Remote work arrangement.
  • Continuing education, training, and conference opportunities.
  • Company-sponsored coursework, exams, and certifications.

Interested in this position?

Apply directly on the company website

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