Job DescriptionAbout the Company
NLocation: Bangalore
NWorkMode: Hybrid
NExperience: 7–10 years
NJob Type: Full time
NAbout the Role
nWe're looking for seasoned data engineers who can take end-to-end ownership of complex data engineering engagements—right from architecture and design to development and delivery. You'll work with client stakeholders, lead data initiatives, and guide teams in building up-to-date, scalable data platforms that support business intelligence, advanced analytics, and AI/ML applications.
NResponsibilities
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N
Lead the design and implementation of scalable, secure, and high-performance data architectures. N
Architect and optimise data pipelines for batch and real-time processing across varied source systems. N
Model and implement enterprise-grade data lakes, lakehouses, and warehouses to support analytical workloads. N
Collaborate with clientteams and internal stakeholders to define data strategies, tooling, and standards. N
Set up and enforce bestpractices around code quality, pipeline observability, testing, and CI/CD.



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Guide technical decision-making and mentor junior/mid-level engineers. N
Troubleshoot complex data issues and provide architectural solutions across heterogeneous systems. N

nQualifications
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N
Robust expertise in Python and advanced proficiency in SQL. N
Hands-on experience with Databricks. N
Deep understanding of data engineering architecture: ETL/ELT pipelines, data modeling (dimensional and normalised), warehousing, streaming systems, and data integration patterns. N
Proven experience with distributed data processing frameworks (e.G., Apache Spark, Flink). N
Proficient with orchestration tools like Airflow or similar, and production-grade data workflows. N
Solid grounding in cloud-native data services (compute, storage, IAM, monitoring). N
Experience leading technical implementations and collaborating with business stakeholders. N

nRequired Skills
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