Data Engineer

4 weeks ago


Remote, India EXO EDGE INDIA LLP Full time

At EXO Edge India LLP, we are seeking a highly skilled Data Engineer to lead our data infrastructure development efforts. As a key member of our team, you will be responsible for designing, developing, evaluating, and testing data infrastructures to support our business needs.

Key Responsibilities:

  • Design and develop data systems and pipelines to ensure high-quality, accurate, and consistent data
  • Analyze and organize raw data to meet business requirements
  • Build complex data models and algorithms to support business analytics and decision-making
  • Develop and maintain data warehouses and data marts to support business intelligence and reporting
  • Collaborate with cross-functional teams to ensure data quality and compliance with regulations

Requirements:

  • 4+ years of experience in MS Fabric
  • 4+ years of hands-on experience in MS SQL Server writing complex T-SQL queries, stored procedures, and functions
  • 4+ years of ETL development using Azure Data Factory (experience with SSIS a plus)
  • 4+ years of experience with building data pipelines and analytics solutions to stream and process datasets at low latencies
  • 4+ years of experience with complex data modeling, ELT/ETL design, and using large databases in a business environment
  • Experience ingesting data from various source formats viz. Parquet, csv, SQL databases, SharePoint, APIs etc. to Azure SQL databases
  • 3+ years of experience with SSAS (SQL Analysis Services) Tabular and Multi-Dimensional cubes/models
  • Experience writing DAX expressions a plus
  • Expertise in ELT/ETL optimization, designing, coding, and tuning big data processes using Azure Data Factory
  • Advanced experience in SQL Server relational database management systems
  • Extensive understanding and knowledge in data analytics and reporting (TSQL, SSRS, Power BI, etc.)
  • Strong Knowledge of data warehousing frameworks and methodologies
  • Knowledge of Data Engineering and Data Operational Excellence using standard methodologies
  • Knowledge of QA tools (manual and automated)
  • Experience in data mining, profiling, and analysis
  • Experience with usage of source control within a team environment (Git, TFS etc.)
  • A strong understanding of database design best practices
  • Experience with Azure - setting up and monitoring databases, users & access rights
  • Experience with Yardi system is a big plus

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