Sr. Azure Data Engineer 5-8 Years

3 days ago

Pune, India AiEdge Analytics Full time
Company Description
AiEdge Analytics is a passionate team of certified experts with over 15 years of industry experience in Microsoft Technologies for Data Engineering, Data Analytics, and Business Intelligence, interactive Dashboards, ETL pipelines, data modeling, advanced analytics, and end-to-end lifecycle management. We deliver end-to-end analytics solutions by transforming raw data into valuable insights that drive innovation. Our mission is to empower clients through expertise in Microsoft Data Analytics and AI-driven, cutting-edge, tailor-made analytics solutions, enhancing data-driven decisions across various industries. We prioritize strong data security and lasting partnerships, providing high-quality, cost-optimized solutions to create a positive impact across industries and society.
We at AiEdge Analytics are looking for an Azure Data Engineer on Contract basis
Experience : 5-8 years
Contract Tenure: 3-6 months extendable up to a year (Excellent performance leads to Permanent employment role)
Work Location: Pune (Work from Office)
Qualifications
·       Proficiency in the skillset below:
·      Data Engineering with Extract Transform Load (ETL) processes and
·      Azure Data Warehousing, ADF, ADF Workflows, Databricks, PySpark, Python and SQL.
·      Experience with Microsoft Data Analytics tools and technologies is a plus
·      Excellent problem-solving skills and attention to detail
·      Good communication skills to co-ordinate with the client and team
·      Ability to work independently and as well as work collaboratively in a team environment .
Skills Must Have:
·       We are looking for proficiency and experience Data Engineer in ADF, Databricks, Python
·      Seasoned Data Engineer who has command over Python, SQL, and ETL process.
·      Experience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse.
·      Strong proficiency in data analysis, manipulation, and
·      Statistical modelling using tools like Spark, Python, Scala, SQL, or similar languages.
·      Experience in different data formats (Parquet is a plus), managing large datasets.
·      Experience with Delta Lake is a plus.
·      Strong knowledge of Spark for performance optimization.
·      Experience in Azure cloud stack Production environment.
·      Experience in building and optimizing Big Data pipelines, architectures, and datasets.
·      Advanced working knowledge and experience with relational and non-relational databases.
·      Strong analytic skills related to working with structured and unstructured datasets.
·      Azure DevOps experience to deploy the data pipelines through CI/CD.
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