Ashok Nagar Delhi Delhi Senior data engineer – python & sql Jobs – 130 Open Jobs Today

Senior Data Engineer
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Data Science Lead
Alight —Gurugram, Haryana
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Kearney —Gurugram, Haryana
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1984788-Assistant Vice President
EXL Service —Gurugram, Haryana
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1970742-Senior Manager
EXL Service —Gurugram, Haryana
- Full-time
- Azure
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- Master's degree
Associate – Gen AI Full stack Engineer
Bain & Co. —Gurugram, Haryana
- Full-time
- Azure
- SQL
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Quick apply
3124757-Lead Assistant Manager
EXL Service —Gurugram, Haryana
- Full-time
- Oracle
- Computer Science
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GEN AI Sr Lead
BirlaSoft —Noida, Uttar Pradesh
- Azure
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1970740-Lead Assistant Manager
EXL Service —Gurugram, Haryana
- Full-time
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Associate Manager, Automation Architect
Stryker —Gurugram, Haryana
- Full-time
- Azure
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- Management
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4d
S&C Global Network - AI - FS Banking-Consultant
Accenture —Gurugram, Haryana
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Accenture —Gurugram, Haryana
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Lead Engineering Manager
Aurora Energy Research —Gurugram, Haryana
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Tech Lead Manager
Aurora Energy Research —Gurugram, Haryana
- Full-time
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1970755-Assistant Manager
EXL Service —Gurugram, Haryana
- Full-time
- Computer Science
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4604092-Senior Manager
EXL Service —Gurugram, Haryana
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Sr. Migration Modernization Architect, Professional Services
AWS ProServe IN - Karnataka —Gurugram, Haryana
- Full-time
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1970794-Manager
EXL Service —Gurugram, Haryana
- Full-time
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4529092-Lead Assistant Manager
EXL Service —Gurugram, Haryana
- Full-time
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Senior Data Engineer

Lister Digital
Gurugram, Haryana

Apply Now

Job details

Full-time

Qualifications

CI/CD
Spark
System design
SQL
OOP
AWS
PostgreSQL
Continuous integration
S3
Apache
Kafka
Unit testing
RDS database
Banking
Python
Design patterns

Full job description

About This Role

8 to 12 years of experience
Skills: Python, Spark, SQL, PostgreSQL , CI/CD practices

Role Overview

We are building a bespoke data platform focused on Financial Crime transaction analysis. The platform processes tens of millions of transaction records daily and enables large-scale analytics to identify suspicious patterns and behavioral anomalies.

We are looking for a hands-on Data Engineer with strong Python and Spark expertise who can design scalable data pipelines, perform large-scale data analysis, and contribute to the architecture of a high-volume data platform.

This role is ideal for engineers who enjoy deep coding, distributed data processing, and building custom data platforms rather than relying purely on managed tools.

Key Responsibilities

Build and maintain scalable data pipelines across stages such as data download, ingestion, and analysis within a bespoke data platform.
Develop high-performance data processing logic using Python and PySpark.
Perform large-scale transaction data analysis using custom algorithms and in-house logic to detect financial crime patterns.
Work with high-volume datasets (80–90 million records processed regularly) and optimize pipeline performance.
Design efficient data models and transformations for large-scale processing.
Write optimized SQL queries on PostgreSQL (RDS), leveraging:

Window functions
Partitioning
Query performance optimization

Work with Delta tables and Parquet-based storage formats for efficient data processing.

Build and maintain Spark batch and streaming jobs.
Implement engineering best practices including unit testing, static code analysis, and CI/CD practices.
Contribute to data platform architecture and system design decisions.

Required Skills

Core Engineering Skills

Strong Python programming expertise

Deep understanding of:

Functional programming
Object-Oriented Programming (OOP)
Design patterns
Python execution and invocation mechanisms

Hands-on experience with Apache Spark / PySpark

Strong SQL expertise including:

Window functions
Partitioning
Query optimization

Experience building end-to-end data pipelines

Data Platform Engineering

Experience designing scalable data processing architectures

Strong understanding of distributed data processing

Familiarity with standard data pipeline engineering practices, including:

Unit testing
Static code analysis (Sonar or similar)
Code linting
Pipeline reliability and monitoring

Good to Have

AWS exposure (especially EMR and S3)

Experience with Apache Airflow for job orchestration and scheduling

Exposure to Kafka or streaming architectures

Familiarity with Databricks environments (as upstream data source)

Experience working in banking, financial services, or financial crime analytics

Tech Stack

Languages: Python, SQL
Processing: Apache Spark / PySpark
Storage: Delta Tables, Parquet
Database: PostgreSQL (RDS)
Orchestration: Airflow (good to have)
Cloud: AWS (EMR, S3 – good to have)
Code Quality: Sonar, Unit Testing, Linting

What We're Looking For

Strong hands-on engineer, who can do more that using standard ETL tools.
Comfortable working with large-scale datasets
Ability to design and build scalable data platform components
Someone who enjoys solving complex data engineering problems through code

Apply now

Apply Now

Refine Your Search

senior data engineer – python & sql jobs in ashok nagar delhi delhi

Senior Data Engineer

Data Science Lead

Kearney Value Realization - Enterprise Solution Architect (Value Assurance)

AI/ML Computational Science Specialist

1984788-Assistant Vice President

1970742-Senior Manager

Associate – Gen AI Full stack Engineer

3124757-Lead Assistant Manager

GEN AI Sr Lead

1970740-Lead Assistant Manager

Associate Manager, Automation Architect

S&C Global Network - AI - FS Banking-Consultant

GN - SC&E - S&P - I&F - Fullstack Developer – Specialist

Lead Engineering Manager

Tech Lead Manager

1970755-Assistant Manager

4604092-Senior Manager

Sr. Migration Modernization Architect, Professional Services

1970794-Manager

4529092-Lead Assistant Manager

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