Data Engineer
Data Engineer
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Job Description
Job Responsibilities:
Responsible for designing developing and maintaining data pipelines and ETL processes
using Databricks and Azure Data Factory.
Good experience in using SQL Python and Spark within Databricks notebooks for data
processing and transformations.
Integrate and orchestrate data from various sources ensuring data quality and accuracy.
Build reusable rules for Data Quality and required transformations.
Optimize monitor data pipelines for performance and scalability and debug in case of issues.
Proficiency in Databricks Azure Data Factory Python SQL is must.
Familiarity with ETL principles data warehousing and big data technologies.
Evaluate and define technical specs using BRD for BI and DW solutions.
Build conceptual and logical models based on the functional flow of business in scalable way.
Work with Business functions/ leadership and Application SMEs to understand the
requirement and analysing the source to fulfil the requirements.
Be compliant to data quality governance compliance and other legal requirements.
Act as key P.O.C between data analyst data scientists and the business/application teams.
Must have Azure Databricks experience & Data Integrations.
Good work experience on Data bricks ADF and other Azure and Databricks objects.
Experience on creating frameworks towards building the optimized data pipelines is a must.
Working knowledge of different selfhosted and other runtimes along with SSIS.
Strong work experience of SQL Scala Python and Spark.
Performance Tuning of Spark SQL running on DELTA LAKE storage and Strong Knowledge on
Databricks and Cluster Configurations.
Working knowledge of Data Warehousing Modelling Data Validation Data Migration.
Documentation of all project resources and follow best practices for development.
Knowledge of frontend tools like Qlik Sense MS PBI
Minimum bachelors degree in computer science or related field is required.
Strong problemsolving skills good communication abilities and gogetter attitude.
Employment Type
Full-Time
