Job Title: Senior Manager - Lead Azure Data Engineer- (Data Platform Data Engineering, Analytics & Reporting)

Job Description :

• Responsible for the delivery of data and reporting platforms and solutions to business key stakeholders enabling them to make data-informed decisions. You will drive the data strategy and cloud data management
• Responsible for acquiring data from primary and secondary multiple sources, maintenance of data lake, data marts. Creation of multiple raw and curated data design layers
• Responsible for Data Cleansing, Quality & Integrity checks, data parallelism, clusters management
• Implementation of Data Governance, Data catalog
• Use orchestration, ETL and other tools for transforming the raw data.
• Use visualisation tools to develop reports and dashboards
• Identify, analyse and interpret trends or patterns in complex data sets.

Qualification & Experience: BE/B.Tech Computer Science/IT| MCAwith 8-10 years hands on experience in Data Engineering & BI Reporting

Competencies Required: Spark - Pyspark/Scala, Streaming Analytics - Kafka, Azure Event Hub

Data pipelines, orchestration, datalake - ADLS Gen2,Logic Apps, Azure Functions

Orchestration Workflow Tools - Airflow,NiFi, Autosys

Worked on ORC, Parquet, Avro. Implementation of Delta lake, Datalake - Medallion architecture

Azure Data Factory - Integration Runtime,

Azure Synapse Dedicated SQL Pool, Serverless, Spark pool

Proven work experience as a Data Analyst

Technical expertise in Data Models, Database Designs and Data Mining.

Hands on experience in Power BI, Good knowledge of T-SQL

Adept in SQL,PLSQL and ETL frameworks

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