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PythonSQLGCPGit
PC
Pay vs market · Above median
This job's pay (₹30L a year at the midpoint) is higher than about 70% of 10 salary-listed Data Engineer jobs in India in the last 12 months; their median is ₹19L.
Role overview
Job description
Core Responsibilities: Lead end-to-end design, development, and delivery of complex cloud-based data pipelines. Collaborate with architects and stakeholders to translate business requirements into technical data solutions. Ensure scalability, reliability, and performance of data systems across environments. Provide mentorship and technical leadership to data engineering teams. Define and enforce best practices for data modeling, transformation, and governance. Optimize data ingestion and transformation frameworks for efficiency and cost management. Contribute to data architecture design and review sessions across projects. Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 8+ years of experience in data engineering with proven leadership in designing cloud-native data systems. Strong expertise in Python, SQL, Apache Spark, and at least one cloud platform (Azure, AWS, or GCP). Experience with Big Data, DataLake, DeltaLake, and Lakehouse architectures Proficient in one or more database technologies (e.g. PostgreSQL, Redshift, Snowflake, and NoSQL databases). Ability to recommend and implement scalable data pipelines Preferred Qualifications: Cloud certification (AWS, Azure, or GCP). Experience with Databricks, Snowflake, or Terraform. Familiarity with data governance, lineage, and observability tools. Strong collaboration skills and ability to influence data-driven decisions across teams.
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About this listing
- Source: Proclink Consulting's official careers site · still listed there on 9 Nov 2026
- Posted 24 Aug 2026
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Role market pulse
How Data Engineer demand looks in India
Live jobs
126
Posted 30d
85
30d movement
+123.7%
Remote share
7.9%
Salary listed
9.5%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 8+ years of experience in data engineering with proven leadership in designing cloud-native data systems. Strong expertise in Python, SQL, Apache Spark, and at least one cloud platform (Azure, AWS, or GCP). Experience with Big Data, DataLake, DeltaLake, and Lakehouse architectures Proficient in one or more database technologies (e.g. PostgreSQL, Redshift, Snowflake, and NoSQL databases). Ability to recommend and implement scalable data pipelines Preferred
Department · Financial Services - IT & Analytics
Hiring company
Proclink Consulting
Consulting
The Intelligence Architect for Manufacturing, Financial Services, and Other Regulated Industries
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