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Data Engineer
Looker Solutions Ltd —Remote
- ₹15,00,000 - ₹20,00,000 a year
- Full-time
- Remote
- Azure
- Databases
- SQL
- Paid time off
- Work from home
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4h

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Data Engineer
Looker Solutions Ltd —Remote
We are looking for a *Data Engineer* to design, build, and maintain scalable data pipelines and data infrastructure that power analytics, machine learning, and…
₹15,00,000 - ₹20,00,000 a year
Quick apply
4h
Senior Data Engineer
A & B Business Solutions —Remote
Provides Tier 2 / Tier 3 production support for data integration and reporting platforms. Integrates and maintain Ataccama data quality workflows to support…
₹10,09,356.57 - ₹30,66,829.63 a year
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Data Engineer

Looker Solutions Ltd
Remote

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Job details

Permanent | Full-time
₹15,00,000 - ₹20,00,000 a year
4 hours ago

Benefits

Paid time off
Work from home
Flexible schedule

Qualifications

Elasticsearch
Data modeling
Azure
Relational databases
Spark
Databases
SQL
AWS
Machine learning
APIs
ETL
Kafka
Redshift
Python
Analytics

Full job description

Overview

We are looking for a Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure that power analytics, machine learning, and business intelligence across the organization. You will work closely with data scientists, analysts, and product teams to ensure reliable, high-quality, and accessible data across multiple domains.

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data from multiple sources.
Build and optimize data models and data warehouses/lakes to support analytics and reporting needs.
Ensure data quality, integrity, and consistency across production datasets and downstream consumers.
Develop and maintain batch and real-time data processing systems.
Work with stakeholders (product managers, analysts, data scientists) to translate business requirements into robust data solutions.
Implement monitoring, logging, and alerting systems for data pipelines.
Optimize query performance and data storage efficiency for large-scale datasets.
Collaborate with ML teams to support feature engineering and data availability for models.
Enforce data governance, security, and compliance standards.

Required Skills & Qualifications

3–7 years of experience in Data Engineering, Analytics Engineering, or Backend/Data Systems roles
Strong proficiency in SQL and Python
Experience with distributed data processing frameworks such as Spark or Flink
Hands-on experience with data warehouses/lakes (e.g., Snowflake, BigQuery, Redshift, Databricks)
Experience building ETL/ELT pipelines using tools like Airflow, dbt, or similar orchestration tools
Strong understanding of data modeling, schema design, and relational databases
Experience working with cloud platforms (AWS / GCP / Azure)
Familiarity with API integration and data ingestion from multiple sources
Understanding of data quality, testing, and validation frameworks

Preferred Qualifications

Experience with streaming systems (Kafka, Kinesis, etc.)
Exposure to MLOps or feature stores
Experience with RAG pipelines, vector databases, or search systems (Elasticsearch, Pinecone, etc.)
Experience in high-scale environments (TB+ data systems)

What You Will Work On

Large-scale data pipelines powering product analytics and machine learning systems
Real-time and batch data processing infrastructure
Data platforms supporting business-critical reporting and decision-making
Optimization of data systems handling multi-terabyte datasets

Pay: ₹1,500,000.00 - ₹2,000,000.00 per year

Benefits:

Flexible schedule
Paid time off
Work from home

Work Location: Remote

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