Urgent! Data Engineer - Python/SQL/ETL Job Opening In Noida – Now Hiring DigitalCube Consultancy
<p><p><b>Job Description : </b><br/><br/><b>Job Title : </b> Data Engineer<br/><br/><b>Experience Required : </b> 3-6 Years<br/><br/><b>Responsibilities : </b></p><p><p><b><br/></b></p>- Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store data from various sources.<br/><br/>- Work with Apache Spark to process large datasets in a distributed environment, ensuring optimal performance and scalability.<br/><br/>- Develop and optimize Spark jobs and data transformations using Scala for large-scale data processing.<br/><br/>- Collaborate with data analysts and other stakeholders to ensure data pipelines meet business and technical requirements.<br/><br/>- Integrate data from different sources (databases, APIs, cloud storage, etc.) into a unified data platform.<br/><br/>- Ensure data quality, consistency, and accuracy by building robust data validation and cleansing mechanisms.<br/><br/>- Use cloud platforms (AWS, Azure, or GCP) to deploy and manage data processing and storage solutions.<br/><br/>- Automate data workflows and tasks using appropriate tools and frameworks.<br/><br/>- Monitor and troubleshoot data pipeline performance, optimizing for efficiency and cost-effectiveness.<br/><br/>- Implement data security best practices, ensuring data privacy and compliance with industry standards.<br/><br/>- Stay updated with new data engineering tools and technologies to continuously improve the data infrastructure.<br/><br/><b>Requirements :</b></p><p><p><b><br/></b></p>- 4 to 6 years of experience required as a Data Engineer or an equivalent role<br/><br/>- Strong experience working with Apache Spark with Scala for distributed data processing and big data handling.<br/><br/>- Basic knowledge of Python and its application in Spark for writing efficient data transformations and processing jobs.<br/><br/>- Proficiency in SQL for querying and manipulating large datasets.<br/><br/>- Experience with cloud data platforms, preferably AWS (e.g., S3, EC2, EMR, Redshift) or other cloud-based solutions.<br/><br/>- Strong knowledge of data modeling, ETL processes, and data pipeline orchestration.<br/><br/>- Familiarity with containerization (Docker) and cloud-native tools for deploying data solutions.<br/><br/>- Knowledge of data warehousing concepts and experience with tools like AWS Redshift, Google BigQuery, or Snowflake is a plus.<br/><br/>- Experience with version control systems such as Git.<br/><br/>- Strong problem-solving abilities and a proactive approach to resolving technical challenges.<br/><br/>- Excellent communication skills and the ability to work collaboratively within cross-functional teams.<br/><br/><b>Preferred Qualifications :</b></p><p><p><b><br/></b></p>- Experience with additional programming languages like Python, Java, or Scala for data engineering tasks.<br/><br/>- Familiarity with orchestration tools like Apache Airflow, Luigi, or similar frameworks.<br/><br/>- Basic understanding of data governance, security practices, and compliance regulations.</p><br/></p> (ref:hirist.tech)
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Noida, 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 Data Engineer in Noida, 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 632808 jobs in India and 6396 jobs in Noida. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! DigitalCube Consultancy is currently hiring and seeking a Data Engineer Python/SQL/ETL to join their team. Feel free to download the job details.
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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 DigitalCube Consultancy adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Python/SQL/ETL Jobs India varies, but the pay scale is rated "Standard" in Noida. 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 Data Engineer Python/SQL/ETL typically include Computer Occupations 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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Before the Interview:To prepare for your Data Engineer Python/SQL/ETL interview at DigitalCube Consultancy, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the DigitalCube Consultancy's products or services and be prepared to discuss how you can contribute to their success.
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