Python
Amazon Web Services (AWS)Review Criteria
- Strong Senior Data Engineer profile
- 4+ years of hands-on Data Engineering experience
- Must have experience owning end-to-end data architecture and complex pipelines
- Must have advanced SQL capability (complex queries, large datasets, optimization)
- Must have strong Databricks hands-on experience
- Must be able to architect solutions, troubleshoot complex data issues, and work independently
- Must have Power BI integration experience
- CTC has 80% fixed and 20% variable in their ctc structure
Preferred
- Worked on Call center data, understand nuances of data generated in call centers
- Experience implementing data governance, quality checks, or lineage frameworks
- Experience with orchestration tools (Airflow, ADF, Glue Workflows), Python, Delta Lake, Lakehouse architecture
Job Specific Criteria
- CV Attachment is mandatory
- Are you Comfortable integrating with Power BI datasets?
- We have an alternate Saturdays working. Are you comfortable to WFH on 1st and 4th Saturday?
Role & Responsibilities
We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.
Key Responsibilities-
- Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
- Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
- Architect and deliver high-performance ETL/ELT processes across cloud platforms.
- Implement and enforce data governance standards, including data quality, lineage, and access control.
- Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
- Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
- Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
- Mentor junior engineers and contribute to engineering best practices, standards, and documentation.
Ideal Candidate
- Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
- Advanced SQL skills with experience handling large, complex datasets.
- Strong expertise with Databricks for data engineering workloads.
- Hands-on experience with major cloud platforms — AWS and Azure.
- Deep understanding of data architecture, data modelling, and optimisation techniques.
- Familiarity with BI and reporting environments such as Power BI.
- Strong analytical and problem-solving abilities with a focus on data quality and governance
- Proficiency in python or another programming language in a plus.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Follow CutshortShubham Vishwakarma
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