Urgent! Koantek - Senior Data Engineer - Python/SQL Job Opening In Mumbai – Now Hiring KOANTEK INFORMATION SYSTEMS INDIA PRIVATE LIMITED
<p></p><p><b>Description : </b> </p><p><br/></p><p>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.</p><br/><p><b>Key Responsibilities : </b><br/><br/></p><p> - Develop, and deploy end-to-end data pipelines and solutions on Databricks, integrating with various data sources and systems.<br/><br/></p><p> - Collaborate with cross-functional teams to understand data, and deliver effective BI solutions.<br/><br/></p><p> - Implement data ingestion, transformation, and processing workflows using Spark (PySpark/Scala), SQL, and Databricks notebooks.<br/><br/></p><p> - Develop and maintain data models, ETL/ELT processes ensuring high performance, reliability, scalability and data quality.<br/><br/></p><p> - Build and maintain APIs and data services to support analytics, reporting, and application integration.<br/><br/></p><p> - Ensure data quality, integrity, and security across all stages of the data lifecycle.<br/><br/></p><p> - Monitor, troubleshoot, and optimize pipeline performance in a cloud-based environment.<br/><br/></p><p> - Write clean, modular, and well-documented Python/Scala/SQL/PySpark code.<br/><br/></p><p> - Integrate data from various sources, including APIs, relational and non-relational databases, IoT devices, and external data providers.<br/><br/></p><p> - Ensure adherence to data governance, security, and compliance policies.</p><br/><p><b>Required Skills and Experience : </b><br/><br/></p><p> - Bachelors or Masters degree in Computer Science, Engineering, or a related field.<br/><br/></p><p> - 5 to 6 years of hands-on experience in data engineering, with a strong focus on Databricks and Apache Spark.<br/><br/></p><p> - Strong programming skills in Python/PySpark and/or Scala, with a deep understanding of Apache Spark.<br/><br/></p><p> - Experience with Azure Databricks.<br/><br/></p><p> - Strong SQL skills for data manipulation, analysis, and performance tuning.<br/><br/></p><p> - Strong understanding of data structures and algorithms, with the ability to apply them to optimize code and implement efficient solutions.<br/><br/></p><p> - Strong understanding of data architecture, data modeling, ETL/ELT processes, and data warehousing concepts.<br/><br/></p><p> - Experience building and maintaining ETL/ELT pipelines in production environments.<br/><br/></p><p> - Familiarity with Delta Lake, Unity Catalog, or similar technologies.<br/><br/></p><p> - Experience working with structured and unstructured data, including JSON, Parquet, Avro, and time-series data.<br/><br/></p><p> - Familiarity with CI/CD pipelines and tools like Azure DevOps, version control (Git), and DevOps practices for data engineering.<br/><br/></p><p> - Excellent problem-solving skills, attention to detail, and ability to work independently or as part of a team.<br/><br/></p><p> - Strong communication skills to interact with technical and non-technical Qualifications : </b></p><p><br/></p> - Experience with Delta Lake and Databricks Workflows.<br/><br/></p><p> - Exposure to real-time data processing and streaming technologies (Kafka, Spark Streaming).<br/><br/></p><p> - Exposure to the data visualization tool Databricks Genie for data analysis and reporting.<br/><br/></p><p> - Knowledge of data governance, security, and compliance best practices.</p> (ref:hirist.tech)
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Unlock Your Koantek Senior Potential: Insight & Career Growth Guide
Real-time Koantek Senior Jobs Trends in Mumbai, India (Graphical Representation)
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Great news! KOANTEK INFORMATION SYSTEMS INDIA PRIVATE LIMITED is currently hiring and seeking a Koantek Senior Data Engineer Python/SQL to join their team. Feel free to download the job details.
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