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Urgent! Senior Data Engineer Job Opening In Not Specified – Now Hiring Koantek
We are seeking an experienced Databricks Full Stack Data Engineer with 5-6 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:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5-6 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 stakeholders.
Preferred 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.
✨ Smart • Intelligent • Private • Secure
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Unlock Your Senior Data Potential: Insight & Career Growth Guide
Real-time Senior Data Jobs Trends in Not Specified, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Data in Not Specified, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 474364 jobs in India and 48 jobs in Not Specified. This comprehensive analysis highlights market share and opportunities for professionals in Senior Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Koantek is currently hiring and seeking a Senior Data Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Data Engineer Jobs Not Specified.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Koantek adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Data Engineer Jobs India varies, but the pay scale is rated "Standard" in Not Specified. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Data Engineer typically include I.t. & Communications and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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