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azure data engineer

3 months ago

Gurgaon, Haryana, India Michael Page Full time
Fast track growth & PnL ownership Handling multiple clients

About Our Client

Our client is a renowned GCC in the consumer goods section.

Job Description

Bachelor's degree in Computer Engineering, Computer Science or related discipline, Master's Degree preferred. 7+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment. 3+ years of experience with setting up and operating data pipelines using Python or SQL 7+ years of advanced SQL Programming: PL/SQL, T-SQL 5+ years of Enterprise Data & Analytics solution architecture 3+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data 3+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions. 2+ years of experience in defining and enabling data quality standards for auditing, and monitoring. Strong analytical abilities and a strong intellectual curiosity In-depth knowledge of relational database design, data warehousing and dimensional data modeling concepts Deep understanding of REST and good API design. Strong collaboration and teamwork skills & excellent written and verbal communications skills. Self-starter and motivated with ability to work in a fast-paced development environment. Agile experience highly desirable. Proficiency in the development environment, including IDE, database server, GIT, Continuous Integration, unit-testing tool, and defect management tools. Working experience with Python, Spark, Pyspark. Strong Leadership capabilities.

The Successful Applicant

Preferred Skills

2+ years of experience with Big Data Management (BDM) for relational and non-relational data (formats like json, xml, Avro, parquet, copybook, etc.) Knowledge of Dev-Ops processes (CI/CD) and infrastructure as code. Knowledge of Master Data Management (MDM) and Data Quality tools. Experience developing REST APIs. Kafka Knowledge of key machine learning concepts & MLOPS

Technologies we use: Databricks, Azure SQL DW/Synapse, Azure Tabular, Azure Data Factory, Azure Functions, Azure Containers, Docker, DevOps, Python, PySpark, Scripting (Powershell, Bash), Git, Terraform, Power BI, Snowflake