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Data Engineer
Data EngineerKey2Source • Alpharetta, Georgia, USA
Data Engineer

Data Engineer

Key2Source • Alpharetta, Georgia, USA
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Job Role : - Senior / Lead Data Engineer

Location : - Alpharetta GA (Hybrid 3 Days in Office)

Duration : - Fulltime

Job Description : -

We are looking for an experienced Senior / Lead Data Engineer with 8 years of expertise in designing and delivering scalable high-performing data solutions on the Azure ecosystem. The ideal candidate will have deep hands-on experience with Databricks Spark modern data lake house architectures data modelling and both batch and real-time data processing. You will be responsible for driving end-to-end data engineering initiatives influencing architectural decisions and ensuring robust high-quality data pipelines.

Responsibility : -

  • Architect design and implement scalable data platforms and pipelines on Azure and Databricks.
  • Build and optimize data ingestion transformation and processing workflows across batch and real-time data streams.
  • Work extensively with ADLS Delta Lake and Spark (Python) for large-scale data engineering.
  • Lead the development of complex ETL / ELT pipelines ensuring high quality reliability and performance.
  • Design and implement data models including conceptual logical and physical models for analytics and operational workloads.
  • Work with relational and lakehouse systems including PostgreSQL and Delta Lake.
  • Define and enforce best practices in data governance data quality security and architecture.
  • Collaborate with architects data scientists analysts and business teams to translate requirements into technical solutions.
  • Troubleshoot production issues optimize performance and support continuous improvement of the data platform.
  • Mentor junior engineers and contribute to building engineering standards and reusable components.

Required Skills : -

  • 8 years of hands-on data engineering experience in enterprise environments.
  • Strong expertise in Azure services especially Azure Databricks Functions and Azure Data Factory (preferred).
  • Advanced proficiency in Apache Spark with Python (PySpark).
  • Strong command over SQL query optimization and performance tuning.
  • Deep understanding of ETL / ELT methodologies data pipelines and scheduling / orchestration.
  • Hands-on experience with Delta Lake (ACID transactions optimization schema evolution).
  • Strong experience in data modelling (normalized dimensional lakehouse modelling).
  • Experience in both batch processing and real-time / streaming data (Kafka Event Hub or similar).
  • Solid understanding of data architecture principles distributed systems and cloud-native design patterns.
  • Ability to design end-to-end solutions evaluate trade-offs and recommend best-fit architectures.
  • Strong analytical problem-solving and communication skills.
  • Ability to collaborate with cross-functional teams and lead technical discussions.
  • Preferred Skills :

  • Experience with CI / CD tools such as Azure DevOps and Git.
  • Familiarity with IaC tools (Terraform ARM).
  • Exposure to data governance and cataloging tools (Azure Purview).
  • Experience supporting machine learning or BI workloads on Databricks.
  • Skills : - Java Python Spark

    Key Skills

    Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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