Big Data Engineer
Big Data Engineer
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1 Vacancy
Job Description
You will work closely with crossfunctional teams to deliver highquality solutions in domains such as Supply Chain Finance Operations Customer Experience HR Risk Management and Global IT.
Key Responsibilities:
- Be part of the technical plan for the migration including data ingestion transformation storage and access control in Azures Data Factory and data lake.
- Design and implement scalable and efficient data pipelines to ensure smooth data movement from multiple sources using Azure Databricks
- Developing scalable and reusable frameworks for ingesting of data sets
- Ensure data quality and integrity throughout the entire data pipeline implementing robust data validation and cleansing mechanisms.
- Working with event based/streaming technologies to ingest and process data.
- Provide support to the team resolving any technical challenges or issues that may arise during the migration and postmigration phases.
- Stay up to date with the latest advancements in cloud computing data engineering and analytics technologies and recommend best practices and industry standards for implementing the data lake solution.
Qualifications :
- 5 years of IT experience.
- Min. 4 years of Experience working with Azure Databricks.
- Experience in Data Modelling & Source System Analysis
- Familiarity with PySpark.
- Mastery of SQL.
- Knowledge of components: Azure Data Factory Azure Data Lake Azure SQL DW Azure SQL.
- Experience with Python programming language used for data Engineering purposes.
- Ability to conduct data profiling cataloging and mapping for technical design and construction of technical data flows.
- Experience in data visualization/exploration tools.
- Excellent communication skills with the ability to effectively convey complex ideas to technical and nontechnical stakeholders.
- Strong team player with excellent interpersonal and collaboration skills.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
Company Industry
Department / Functional Area
Engineering
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
