We’re looking for a skilled and driven Data Engineer who thrives in a data-rich environment. You will focus on managing and optimizing our existing data ecosystem, with a strong emphasis on SQL development for Oracle, BigQuery, and Tableau data sources, alongside NoSQL with MongoDB. You will also contribute to our Lakehouse development and will play a key role in ensuring data accuracy while supporting the scalability of our data infrastructure.
Roles and Responsibilities:
Develop, optimize, and maintain SQL queries for Tableau data sources, ensuring efficient and accurate data delivery.
Write and optimize complex queries for Oracle and BigQuery databases to support business reporting needs.
Develop, maintain and enhance existing ETL/ELT pipelines, ensuring data is ingested, transformed, and delivered efficiently.
Collaborate with cross-functional teams to identify and implement improvements in data workflows.
Participate in early development efforts related to Lakehouse architecture initiatives.
Assist in preparing existing data workflows for integration with modern cloud-based data platforms.
Perform thorough data validation and reconciliation to ensure consistency across different data sources.
Identify and resolve discrepancies by working closely with data analysts and business stakeholders.
Requirement:
Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related field.
5+ years of experience working with SQL and managing data pipelines.
Strong proficiency in SQL, with experience in Oracle and Big Query databases.
Experience querying MongoDB, including working with semi-structured data.
Technical Skills:
Advanced SQL skills for query performance tuning and optimization.
Knowledge of ETL/ELT processes and experience optimizing data transformations.
Experience working with relational (Oracle, BigQuery) and NoSQL (MongoDB) databases.
Experience with Python or scripting for automation.
Familiarity with cloud platforms such as AWS, GCP, and Azure.
Advantage: Hands-on experience with BI tools such as Tableau.
About Aumni Techworks:
Aumni Techworks, established in 2016, is a Software Services Company that partners with Product companies to build and manage their dedicated teams in India. So, while you are working for a services company, you are working within a product team and growing with them.
We do not take on projects, and we have long-term (open-ended) contracts with our clients. When our clients sign up with us, they are looking at a multi-year relationship.
For e.g. Some of the clients we signed up with 8 or 6 years, are still with us.
We do not move people across client teams and there is no concept of bench.
At Aumni, we believe in quality work, and we truly believe that Indian talent is at par with someone in NY, London or Germany.
350+ and growing
Benefits of working at Aumni Techworks:
Our award-winning culture reminds us of our engineering days.
Medical insurance (including Parents), Life and Disability insurance.
24 leaves + 10 public holidays + leaves for Hospitalization, maternity, paternity and bereavement.
Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together.
Applicants
are
advised to research the bonafides of the prospective employer independently. We do NOT
endorse any
requests for money payments and strictly advice against sharing personal or bank related
information. We
also recommend you visit Security Advice for more information. If you suspect any fraud
or
malpractice,
email us at abuse@talentmate.com.
You have successfully saved for this job. Please check
saved
jobs
list
Applied
You have successfully applied for this job. Please check
applied
jobs list
Do you want to share the
link?
Please click any of the below options to share the job
details.
Report this job
Success
Successfully updated
Success
Successfully updated
Thank you
Reported Successfully.
Copied
This job link has been copied to clipboard!
Apply Job
Upload your Profile Picture
Accepted Formats: jpg, png
Upto 2MB in size
Your application for Data Engineer
has been successfully submitted!
To increase your chances of getting shortlisted, we recommend completing your profile.
Employers prioritize candidates with full profiles, and a completed profile could set you apart in the
selection process.
Why complete your profile?
Higher Visibility: Complete profiles are more likely to be viewed by employers.
Better Match: Showcase your skills and experience to improve your fit.
Stand Out: Highlight your full potential to make a stronger impression.
Complete your profile now to give your application the best chance!