Azure data engineer

1 month ago

Kolkata, India Tata Consultancy Services Full time
Job Title- Databricks Developer
Relevant Experience
(in Yrs) 6 to 12 YRs
Technical/Functi
onal Skills · Minimum 5 years + working exp as Databricks Developer · Minimum 3 years + working exp on Py Spark and AWS
Experience
Required 5 years+
Roles &
Responsibilities
· 5+ years relevant and progressive data engineering experience · Deep Technical knowledge and experience in Databricks, Python, Scala, Microsoft Azure architecture and platform including Synapse, ADF (Azure Data Factory) pipelines and Synapse stored procedures · Hands-on experience working with data pipelines using a variety of source and target locations (e.g., Databricks, Synapse, SQL Server, Data Lake, file-based, SQL and No-SQL database) · Experience in engineering practices such as development, code refactoring, and leveraging design patterns, CI/CD, and building highly scalable data applications and processes · Experience developing batch ETL pipelines; real-time pipelines are a plus · Knowledge of advanced data engineering concepts such as dimensional modeling, ETL, data governance, data warehousing involving structured and unstructured data · Thorough knowledge of Synapse and SQL Server including T-SQL and stored procedures · Experience working with and supporting cross-functional teams in a dynamic environment · A successful history of manipulating, processing and extracting value from large disconnected datasets. · Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. · Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. · Advise, consult, mentor and coach other data and analytic professionals on data standards and practices · Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytic solutions · Develop and deliver documentation on data engineering capabilities, standards, and processes; participate in coaching, mentoring, design reviews and code reviews · Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. · Solve complex data problems to deliver insights that helps the organization achieve its goals · Knowledge and understanding of Boomi is a plus

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