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Databricks Developer

2 months ago

kolkata, India Tata Consultancy Services Full time

Job Title Databricks Developer

Relevant Experience (in Yrs) 5 years+

Technical/Functional Skills

· Minimum 5 years + working exp as Databricks Developer

· Minimum 3 years + working exp on PySpark 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 As it is 24*7 production support project, Resource should willing to work in shifts and 7 night shifts in a month

Generic

Managerial Skills Working with multiple stakeholders and architecture review

Key words to search in resume Primary Skills: Pyspark, AWS Cloud, Airflow, SQL, Databricks Secondary Skills: Snowflake, GCP Cloud

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