Job Description

Lead Data Engineer/ Data Architect:

Must have Skills: Databricks, Tableu looker cognos SSAS cubes datastage

Databricks, SQL and any other ETL tools (datastage, informatica etc) are mandatory skills.

8-10 years of software development and deployment experience with at least 5 years of hands-on experience with SQL, Databricks, ADF, Datastage (or other ETL tool), SSAS cubes, Cognos, Tableau, Thoughtspot and other BI tools
Write SQL for processing raw data, kafka ingestions, adf pipelines, data validation and QA
Knowledge working with APIs to collect or ingest data
Experience with Scala and Python
Strong Database knowledge, SQL & No-SQL preferred

Experience building data ingestion pipelines (simulating Extract, Transform, Load workload), data warehouse or database architecture
Experience writing design documentation, Source to Target mapping documentation, manage confluence pages.
Experience in converting business functionalities into technical jira stories
Experience in analyzing huge datasets, identify trends, patterns, and outliers to extract meaningful insights
Strong experience with data modeling, design patterns, building highly scalable Business Intelligence Solutions and distributed applications
Knowledge of cloud platforms, for example:
Experience with Azure, AWS or equivalent cloud platforms
Experience with storing, joining, filtering, and analyzing data using SQL, Spark, Hive etc.
Experience working with continuous integration framework, building regression-able code within data world using GitHub, Jenkins and related applications
Experience with programming/scripting languages such as Scala/Java/Python/R etc. (any combination)
Analytical approach to problem-solving with an ability to work at an abstract level and gain consensus; excellent interpersonal, leadership and communication
Data-oriented personality. Motivated, independent, efficient and able to handle several projects; work under pressure with a solid sense for setting priorities

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