Technical Lead Data Engineer (Databricks)
Technical Lead Data Engineer (Databricks)
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1 Vacancy
Job Description
As a Technical Lead you will be responsible for technical leadership of Agile Team(s) within our Business Analytics & Insights (BAI) team. You will work closely with cross-functional teams to deliver high-quality solutions in domains such as Supply Chain Finance Operations Customer Experience HR Risk Management and Global IT.
- Develop a comprehensive technical plan for 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 re-usable frameworks for ingesting 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 technical guidance and support to the team resolving any technical challenges or issues that may arise during the migration and post-migration 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 :
Technical skills:
- 8 years of Data Engineering experience.
- Minimum 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 purpose.
- Ability to conduct data profiling cataloging and mapping for technical design and construction of technical data flows.
- Experience in data visualization/exploration tools.
Soft skills:
- Providing technical leadership and guidance to teams.
- Strong problem-solving skills and the ability to translate business requirements into actionable data science solutions.
- Excellent communication skills with the ability to effectively convey complex ideas to technical and non-technical stakeholders.
- Strong team player with excellent interpersonal and collaboration skills.
- Ability to manage multiple projects simultaneously and deliver high-quality results within specified timelines.
Additional Information :
Nice-to-have skills/certifications:
- Microsoft Certified: Azure Data Engineer Associate.
- Experience preparing data for Data Science and Machine Learning.
- Knowledge of Jupyter Notebooks or Databricks Notebooks for Python development.
- Power BI Dataset Development and Dax.
- Power BI Report development.
Remote Work :
Yes
Employment Type :
Full-time
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
