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Senior Data Engineer - Python/PySpark Job Opening In Coimbatore – Now Hiring Aezion.Inc


Job description

<p><p><b>Key Responsibilities :</b><br/><br/><b>Delivery & Customer Focus :</b><br/><br/></p><p>- Serve as the primary point of contact for customers, ensuring successful delivery of data and analytics solutions.<br/><br/></p><p>- Translate complex customer requirements into scalable, high-impact data solutions.<br/><br/></p><p>- Maintain a strong focus on stakeholder engagement and satisfaction, ensuring delivery meets or exceeds expectations.<br/><br/><b>Technology & Market Adaptation :</b><br/><br/></p><p>- Architect and implement scalable, cloud-agnostic data solutions using technologies such as Big Data, streaming Platforms Databricks, Snowflake, Redshift, python, pyspark, Kafka, SQL Server, PostgreSQL on any Cloud ( AWS/Azure/GCP).<br/><br/></p><p>- Stay ahead of technology trends in data engineering, cloud computing, and big data platforms to ensure competitive offerings.<br/><br/></p><p>- Evaluate and adopt emerging tools and frameworks that enhance productivity, performance, and innovation.<br/><br/><b>Cross-Functional Collaboration with Global Teams :</b><br/><br/></p><p>- Act as a bridge between technical and non-technical stakeholders, translating business needs into technical execution.<br/><br/></p><p>- Promote knowledge sharing and alignment across functional and geographical team boundaries.<br/><br/><b>Team Leadership and Development : </b><br/><br/></p><p>- Lead, mentor, and develop a high-performing global team of 20+ data professionals across onshore and offshore locations.<br/><br/></p><p>- Foster a culture of accountability, innovation, and continuous learning within the data team.<br/><br/></p><p>- Establish career development plans and performance metrics to drive individual and team growth that aligns with organizational KPIs.<br/><br/></p><p>- Align team structure and skill sets with evolving business and technology needs.<br/><br/><b>Process Improvement and Reporting :</b><br/><br/></p><p>- Define and continuously refine best practices in Technology frameworks and operational processes.<br/><br/></p><p>- Drive improvements in data quality, performance, and governance across the data lifecycle.<br/><br/></p><p>- Track team utilization and proactively forecast upcoming bench time, ensuring maximum billing efficiency and planning for resource allocation.<br/><br/></p><p>- Achieve and maintain 100% billing utilization by aligning team capacity with project demands.<br/><br/></p><p>- Generate and share regular utilization and billing reports with the leadership team to inform resourcing and financial strategies.<br/><br/></p><p>- Lead initiatives to automate and streamline data processes, reducing manual effort and increasing delivery speed.<br/><br/><b>Required Skills and Qualifications :</b><br/><br/></p><p>- 10+ years of experience in Data Engineering and Analytics, with at least 35 years in a leadership role.<br/><br/></p><p>- Proven experience managing global teams, both onsite and offshore.<br/><br/></p><p>- Strong hands-on technical background in Big Data, streaming Platforms,Databricks/Snowflake/Redshift, Python/PySpark, SQL Server, PostgreSQL, Kafka on any Cloud ( AWS/Azure/GCP), and modern BI tools.<br/><br/></p><p>- Demonstrated ability to design and scale data pipelines and architectures in large, complex environments.<br/><br/></p><p>- Excellent soft skills including leadership, client communication, and stakeholder management.<br/><br/></p><p>- A successful track record of pre-sales engagement and proposal development with high closure rates.<br/><br/></p><p>- Strong problem-solving mindset with the ability to think strategically and execute tactically.<br/><br/><b>Preferred Qualifications :</b><br/><br/></p><p>- Masters or Bachelors degree in Computer Science, Data Science, Engineering, or related field.<br/><br/></p><p>- Experience working in consulting or services-based environments.<br/><br/></p><p>- Familiarity with governance, data security, and compliance best practices.<br/><br/><b>Soft Skills :</b><br/><br/></p><p>- Strategic thinking and strong problem-solving abilities.<br/><br/></p><p>- Leadership and team mentoring.<br/><br/></p><p>- Business-oriented mindset with attention to detail.<br/></p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Data in Coimbatore, India, highlighting market share and opportunities for professionals in Senior Data roles.

514387 Jobs in India
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3496 Jobs in Coimbatore
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Download Senior Data Jobs Trends in Coimbatore and India

Are You Looking for Senior Data Engineer Python/PySpark Job?

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The Work Culture

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 Aezion.Inc adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Senior Data Engineer Python/PySpark Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Coimbatore. 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.

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Key qualifications for Senior Data Engineer Python/PySpark typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Data Engineer Python/PySpark Job Success

Aezion.Inc interview tips for Senior Data Engineer   Python/PySpark

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Before the Interview:

Research: Learn about the Aezion.Inc's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Final Thought:

To prepare for your Senior Data Engineer Python/PySpark interview at Aezion.Inc, research the company, understand the job requirements, and practice common interview questions.

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