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EXOedge - Senior Data Engineer - Azure Data Factory
3 weeks ago
Job Description :
EXO Edge is looking for an experienced Data Engineer to join our Data Engineering team. As a Data Engineer, you will design, develop, evaluate, and test data infrastructures. Source system analysis, data modeling, business measure development, and report/visualization formatting. Ensure compliance with policies and procedures, safety, state, and federal laws, regulations, and standards.
In your journey as a Data Engineer, you will be :
Primarily focused on:
- Process of consolidating separate data and reporting suites
- Ensure business users are enabled with carefully curated data visualizations with accurate, reliable and consistent data to monitor contract performance and assist in decision making.
- Determining reporting needs, developing, and building reports, training users and establishing reporting cadences and processes.
- Translate logical designs into physical designs, taking account of business requirements, target environments, processes, performance requirements, existing systems and services, and any potential safety-related aspects.
- Analyze and organize raw data.
- Build data systems and pipelines.
- Evaluate business needs and objectives.
- Interpret trends and patterns.
- Conduct complex data analysis and report on results.
- Prepare data for prescriptive and predictive modeling.
- Build algorithms and prototypes.
- Combine raw information from different sources.
- Explore ways to enhance data quality and reliability.
- Identify opportunities for data acquisition.
- Develop analytical tools and programs.
- Collaborate with data scientists and architects on multiple projects technologies.
- 5+ years of hands-on experience in MS SQL Server writing complex T-SQL queries, stores procedures, functions etc.
- 5+ years of ETL development using Azure Data Factory (experience with SSIS a plus)
- 5+ years of experience with building data pipelines and analytics solution to stream and process datasets at low latencies.
- 5+ years of experience with complex data modelling, 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
- Strong Knowledge of data warehousing frameworks and methodologies.
- Knowledge of Data Engineering and Data Operational Excellence using standard methodologies.
- Knowledge & experience with CI/CD processes.
- Knowledge & experience with Azure DevOps.
- 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.
Based at : Mohali, Punjab
Details :
- No of working days : 5
- Shift timings : 4pm to 1am (Needs to be flexible)
- Job Location : Mohali (No WFH)
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