Qureos Mentor

Techmango Technology Services

<p><b>Hi, Dear candidate </b></p><p><b>Greetings of the day!!</b></p><p><b>I am Amutha and I'm reaching out to you regarding an exciting opportunity with TechMango. You can connect with me on LinkedIn https://www.linkedin.com/in/amutha-valli-32611b289/ Or Email: amutha.m@techmango.net</b><br/><b>Techmango Technology Services </b>is a full-scale software development services company founded in 2014 with a strong focus on emerging technologies. It holds a primary objective of delivering strategic solutions towards the goal of its business partners in terms of technology.</p><p>We are a full-scale leading Software and Mobile App Development Company. Techmango is driven by the mantra &ldquo;Clients Vision is our Mission&rdquo;.</p><p>We have a tendency to stick on to the current statement. To be the technologically advanced &amp; most loved organization providing prime quality and cost-efficient services with a long-term client relationship strategy. We are operational in the USA - Chicago, Atlanta, Dubai - UAE, in India - Bangalore, Chennai, Madurai, Trichy.<b>Techmangohttps://www.techmango.net/</b></p><p><b>Job Title: Senior Data Engineer &ndash; AWS &amp; Data Lakehouse Specialist</b></p><p><b>Requirement Summary:</b><br/>We are seeking a highly skilled and motivated Senior Data Engineer with overall 7-8 years of<br/>experience and 4&ndash;5 years of hands-on experience in building scalable data solutions on AWS. The ideal candidate will be proficient in Python, PySpark, and AWS Glue, with a strong understanding of Data Lakehouse architecture&mdash;especially the medallion model. You will play a key role in designing, developing, and optimizing data pipelines, ensuring data quality, and implementing infrastructure as code using Terraform.<br/><b>Key Responsibilities:</b></p><ul><li>Design and implement scalable ETL/ELT pipelines using AWS Glue and PySpark</li></ul><ul><li>Develop and maintain data workflows using AWS Glue DataBrew and AWS Data Quality services</li></ul><ul><li>Architect and manage Data Lakehouse solutions following the medallion architecture</li></ul><ul><li>(Bronze, Silver, Gold layers)</li></ul><ul><li>Optimize data lake performance (Parquet formats, partitioning strategies, DPU tuning)</li></ul><ul><li>Implement S3 data encryption and security best practices</li></ul><ul><li>Automate infrastructure provisioning using Terraform (IaC)</li></ul><ul><li>Collaborate with data analysts, scientists, and business stakeholders to deliver clean, reliable data</li></ul><ul><li>Integrate and manage DBT workflows for data transformation and modeling (preferred)</li></ul><ul><li>Monitor, troubleshoot, and enhance data pipeline reliability and performance</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>4&ndash;5 years of relevant experience in data engineering with a focus on AWS</li></ul><ul><li>Strong proficiency in SQL, Python and PySpark</li></ul><ul><li>Hands-on experience with AWS Glue ETL, Glue DataBrew, and AWS Data Quality</li></ul><ul><li>Proven expertise in building and managing Data Lakehouse architectures using medallion layering</li></ul><ul><li>Deep understanding of Parquet file formats, partitioning, and DPU configuration for performance tuning</li></ul><ul><li>Experience with S3 encryption and data security protocols</li></ul><ul><li>Solid grasp of Infrastructure as Code using Terraform</li></ul><ul><li>Familiarity with DBT for data transformation and modeling (preferred)</li></ul><ul><li>Strong problem-solving skills and ability to work independently and collaboratively</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>AWS certifications (e.g., AWS Certified Data Analytics, AWS Solutions Architect)</li></ul><ul><li>Experience with CI/CD pipelines and DevOps practices</li></ul><ul><li>Exposure to data governance and cataloging tools (e.g., AWS Glue Catalog, Lake</li></ul><ul><li>Formation)</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;2,500,000.00 - &#8377;3,500,000.00 per year</p><p>Application Question(s):</p><ul><li>Overall work experience: </li><li>How many years of experience do you have in AWS?</li><li>How many years of experience do you have in  SQL, Python and PySpark?</li><li>How many years of experience do you have in  AWS Glue ETL, Glue DataBrew, and AWS Data Quality?</li><li>How many years of experience do you have in  Data Lakehouse ?</li><li>May I know your last working date: </li><li>CTCC:</li><li>ETCC:</li></ul><p>Work Location: In person</p>

Senior Data Engineer – AWS & Data Lakehouse Specialist

<div><div><div><div><div><b>Job Location: </b>Remote
</div><div><b>Job Experience: </b>10-20 Years
</div><div><b>Model of Work: </b>Remote
</div><div><b>Technologies: </b>AWS
</div><div><b>Functional Area: </b>Software Development
</div></div></div></div><div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Summary:</b></h2>
</div><div><ul><li>Job Title: Senior Senior AWS Data Lakehouse Specialist
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Job Location: Madurai
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Working Mode: Remote &amp; quarterly once travel to Madurai if required for team meeting.
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Experience: 10+ Years only and he/she will be working as an Individual contributor.
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Working Hours: 2 PM to 11 PM IST
<br>
Notice Period: Immediate Joiners Only.
<br>
Interview Process: 2-3 rounds of interviews from Tech Mango + 1 Level of Client Interview.
<br>
<br>
<b>Requirement Summary:
</b><br>
The ideal candidate will be proficient in Python, PySpark, and AWS Glue, with a strong understanding of Data Lakehouse architecture&mdash;especially the medallion model. You will play a key role in designing, developing, and optimizing data pipelines, ensuring data quality, and implementing infrastructure as code using Terraform.
</li></ul></div><div><h2 class="jobSectionHeader"><b>Key Responsibilities:
</b></h2></div><div><ul><li><b>Key Responsibilities:
</b><br>
Design and implement scalable ETL/ELT pipelines using AWS Glue and PySpark
<br>
Develop and maintain data workflows using AWS Glue DataBrew and AWS Data Quality services
<br>
Architect and manage Data Lakehouse solutions following the medallion architecture (Bronze, Silver, Gold layers)
<br>
Optimize data lake performance (Parquet formats, partitioning strategies, DPU tuning)
<br>
Implement S3 data encryption and security best practices
<br>
Automate infrastructure provisioning using Terraform (IaC)
<br>
Collaborate with data analysts, scientists, and business stakeholders to deliver clean, reliable data
<br>
Integrate and manage DBT workflows for data transformation and modeling (preferred)
<br>
Monitor, troubleshoot, and enhance data pipeline reliability and performance
<br>
<br>
<b>Required Skills &amp; Qualifications:
</b><br>
5+ years of relevant experience in data engineering with a focus on AWS
<br>
Strong proficiency in SQL, Python and PySpark
<br>
Hands-on experience with AWS Glue ETL, Glue DataBrew, and AWS Data Quality
<br>
Proven expertise in building and managing Data Lakehouse architectures using medallion layering
<br>
Deep understanding of Parquet file formats, partitioning, and DPU configuration for performance tuning
<br>
Experience with S3 encryption and data security protocols Solid grasp of Infrastructure as Code using Terraform
<br>
Familiarity with DBT for data transformation and modeling (preferred)
<br>
Strong problem-solving skills and ability to work independently and collaboratively
<br>
<br>
<b>Preferred Qualifications:
</b><br>
AWS certifications (e.g., AWS Certified Data Analytics, AWS Solutions Architect)
<br>
Experience with CI/CD pipelines and DevOps practices
<br>
Exposure to data governance and cataloging tools (e.g., AWS Glue Catalog, Lake Formation)
</li></ul></div><div><h2 class="jobSectionHeader"><b>About our Talent Acquisition Team:</b></h2>
</div><div><ul><li>Arumugam Veera leads the Talent Acquisition function for the <b>TechMango</b>, driving our mission to build high-performing teams and connect top talent with exciting career opportunities.
 <br>
<br>
Feel free to connect with him on <b>LinkedIn</b>: https://www.linkedin.com/in/arumugamv/
 <br>
Follow our official <b>TechMango LinkedIn page </b>for the latest job updates and career opportunities: https://www.linkedin.com/company/techmango-technology-services-private-limited/
<br>
<br>
Looking forward to connecting and helping you explore your next great opportunity with us!</li></ul></div></div></div></div></div></div><div></div>

Senior AWS Data Lakehouse Engineer

Join Techmango Technology Services and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Techmango Technology Services

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Senior Data Engineer – AWS & Data Lakehouse Specialist

Senior AWS Data Lakehouse Engineer