Urgent! Data Engineer Job Opening In Mumbai – Now Hiring Aunalytics
Position Overview
Data Engineers are data experts who dive right into new client projects and make it their job to understand how a client’s data fits into our Industry Intelligent data models.
Utilizing this knowledge and the industry’s newest technologies, they create high performance databases that become the very foundation of the work we do.
Critical at all stages of the data science process, Data Engineers work cross-functionally with both external and internal teams – from business analysts to data scientists; web app developers to platform engineers; IT teams to high-level executives.
Senior Data Engineers also provide valuable feedback to our software team that helps to shape the development of Aunsight, our proprietary end-to-end cloud analytics platform; and the development of our proprietary web applications.
The best Data Engineers are patient, persistent, focused, creative, and incredibly curious.
They love to learn and seek out opportunities to identify unexpected solutions or develop alternate ways to solve challenging problems.
Essential Duties & Responsibilities:
Build and own “one source of truth” data sets to facilitate consistency and efficiency in extracting and analyzing data from disparate data sources
Ensure data integrity by developing and executing necessary processes and controls around the flow of data
Innovate and improve efficiency of managing data to allow for greater speed and accuracy of producing analyses, metrics, and insights
Collaborate with internal and external teams to understand business needs/issues, troubleshoot problems, conduct root cause analysis, and develop cost effective resolutions for data anomalies
Utilize technology to analyze data from applicable systems to review data processes, identify issues, and determine actions to resolve or escalate problems that require data, system, or process improvement
Verify accuracy of table changes and data transformation processes.
Test changes prior to deployment as appropriate.
Recommend and implement enhancements that standardize and streamline processes, assure data quality and reliability, and reduce processing time to meet client expectations
Communicate progress and completion to project team; escalate roadblocks that may impact delivery schedule
Stay up to date on data engineering and data science trends and developments
Follow company policy and procedures which protect sensitive data and maintain compliance with established security standards and best practices
Preferred Skills:
Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or related field, or 3+ years of relevant work experience
Four or more years experience working as a Data Engineer
Experience working with relational database structures, SQL and/or flat files and performing table joins, web crawling, and web development
Proficiency in one or more of the following programming languages: PHP, Java, or Python and a familiarity with Node.js
Experience working with commercial relational database systems such as electronic medical records or other clinical systems, client relationship management software, or accounting systems
Familiar with various data management methodologies, data exploration techniques, data quality assurance practices, and data discovery/ visualization tools
Prior experience supporting business intelligence operations, managing technical, business, and process metadata related to data warehousing preferred
Experience working with NoSQL, Hive, MapReduce, and other Big Data technologies is preferred but not required; willing to train the right candidate
Natural curiosity about what’s hidden in the data through exploration, attention to detail, and ability to see the big picture – similar to putting together a 10,000-piece puzzle
Resourceful in getting things done, self-starter, and productive working independently or collaboratively – ours is a fast-pace entrepreneurial environment with performance expectations and deadlines
Ability to professionally communicate your ideas (verbal and written)
Share our values: growth, relationships, integrity, and true grit
What's in it for You?
Opportunity to work with a rapidly expanding tech company in the booming field of data analytics alongside some of the brightest minds in the industry
Opportunity to work with cutting-edge technology in a casual, fun environment
Flexible schedule and paid time off
Competitive salary and benefits package
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Mumbai, 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 Mumbai, 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 677896 jobs in India and 18259 jobs in Mumbai. 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! Aunalytics is currently hiring and seeking a 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: Data Engineer Jobs Mumbai.
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 Aunalytics adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Jobs India varies, but the pay scale is rated "Standard" in Mumbai. 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 typically include Other General 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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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Engineer interview at Aunalytics, 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 Aunalytics's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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