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Koantek - Senior Data Engineer - Python / SQL

Koantek - Senior Data Engineer - Python / SQL

KOANTEK INFORMATION SYSTEMS INDIA PRIVATE LIMITEDMumbai
15 days ago
Job description

Description :

We are seeking an experienced Databricks Full Stack Data Engineer with 56 years of industry experience. The ideal candidate will have a proven track record of working on live projects, preferably within the manufacturing or energy sectors. He / she will play a key role in developing and maintaining scalable data solutions using Databricks and related technologies.

Key Responsibilities :

  • Develop, and deploy end-to-end data pipelines and solutions on Databricks, integrating with various data sources and systems.
  • Collaborate with cross-functional teams to understand data, and deliver effective BI solutions.
  • Implement data ingestion, transformation, and processing workflows using Spark (PySpark / Scala), SQL, and Databricks notebooks.
  • Develop and maintain data models, ETL / ELT processes ensuring high performance, reliability, scalability and data quality.
  • Build and maintain APIs and data services to support analytics, reporting, and application integration.
  • Ensure data quality, integrity, and security across all stages of the data lifecycle.
  • Monitor, troubleshoot, and optimize pipeline performance in a cloud-based environment.
  • Write clean, modular, and well-documented Python / Scala / SQL / PySpark code.
  • Integrate data from various sources, including APIs, relational and non-relational databases, IoT devices, and external data providers.
  • Ensure adherence to data governance, security, and compliance policies.

Required Skills and Experience :

  • Bachelors or Masters degree in Computer Science, Engineering, or a related field.
  • 5 to 6 years of hands-on experience in data engineering, with a strong focus on Databricks and Apache Spark.
  • Strong programming skills in Python / PySpark and / or Scala, with a deep understanding of Apache Spark.
  • Experience with Azure Databricks.
  • Strong SQL skills for data manipulation, analysis, and performance tuning.
  • Strong understanding of data structures and algorithms, with the ability to apply them to optimize code and implement efficient solutions.
  • Strong understanding of data architecture, data modeling, ETL / ELT processes, and data warehousing concepts.
  • Experience building and maintaining ETL / ELT pipelines in production environments.
  • Familiarity with Delta Lake, Unity Catalog, or similar technologies.
  • Experience working with structured and unstructured data, including JSON, Parquet, Avro, and time-series data.
  • Familiarity with CI / CD pipelines and tools like Azure DevOps, version control (Git), and DevOps practices for data engineering.
  • Excellent problem-solving skills, attention to detail, and ability to work independently or as part of a team.
  • Strong communication skills to interact with technical and non-technical Qualifications :
  • Experience with Delta Lake and Databricks Workflows.
  • Exposure to real-time data processing and streaming technologies (Kafka, Spark Streaming).
  • Exposure to the data visualization tool Databricks Genie for data analysis and reporting.
  • Knowledge of data governance, security, and compliance best practices.

    • (ref : hirist.tech)

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