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Senior Data Engineer

Hire Right Search Partners

Noida, Uttar Pradesh, India · മുഴുവൻ സമയവും

അപേക്ഷിക്കുന്ന ആദ്യയാളാകൂ

അനുഭവം
4+ yrs
ശമ്പളം
INR 2,500,000 – INR 3,500,000 / year
ഓപ്പണിംഗുകൾ
1
പോസ്റ്റ് ചെയ്തു
7 മണിക്കൂർ മുമ്പ്
Work mode
ഓഫീസിൽ
വിദ്യാഭ്യാസം
Computer Science Engineering
Eligibility
Candidates must have at least 4 years of experience and be Computer Science Engineering students/candidates who meet the stated requirements.
Resume
Required to apply

Where you'll work

ജോലി വിവരണം

About the Role

This opportunity is with a technology company that focuses on building secure, sovereign, and scalable digital solutions across artificial intelligence, Web3, cloud, and health technology. The role is for a hands-on Senior Data Engineer who will architect, build, and support robust data pipelines, lakehouse systems, and analytics platforms. The environment uses modern open-source tools to power data insights and GenAI-enabled analytics.

Core Responsibilities

You will be responsible for designing and maintaining data ingestion systems, orchestrating workflows, supporting analytics layers, and contributing to lakehouse architecture and BI enablement.

  • Develop and maintain scalable ETL and data pipelines using Airbyte across multiple source systems.
  • Set up and manage connectors for PostgreSQL, MySQL, MongoDB, APIs, and SaaS platforms.
  • Implement change data capture for near real-time replication, including Kafka-based streaming where needed.
  • Define both incremental and full refresh synchronization approaches.
  • Build validation mechanisms and data quality checks to ensure reliable data flow.
  • Create and maintain Airflow DAGs for end-to-end ETL orchestration.
  • Add robust retry handling, failure management, and pipeline monitoring.
  • Schedule and coordinate complex workflows involving multiple processing steps and external systems.
  • Design and tune ClickHouse schemas for OLAP and analytical workloads.
  • Write high-performance SQL and improve query efficiency.
  • Use materialized views and aggregation strategies to improve reporting speed.
  • Manage partitioning and retention policies for warehouse data.
  • Create analytics-focused data marts for downstream consumption.
  • Build a data lakehouse on object storage such as Cloudian.
  • Plan partitioning by dimensions such as date and region.
  • Work with Parquet and ORC file formats.
  • Apply access controls and governance practices to data assets.
  • Support dashboard development in Apache Superset and Power BI.

Experience and Eligibility

Applicants should have at least 4 years of relevant experience. The role is intended for Computer Science Engineering students/candidates who meet the experience requirement.

Compensation

The annual salary range for this position is ₹25,00,000 to ₹35,00,000.

Additional Information

This is a full-time, on-site role based in Noida, Uttar Pradesh, India. One opening is available, and the expected start is immediate. The application deadline is 2026-09-30 23:59:59.

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