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Senior Data Engineer

Location

Bengaluru, Karnataka, India

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

SourcingXPress

Website: sourcingxpress.com
Job details:
Company: Prime client of People Impact

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Consulting Firm

Company Type: Product

Business Model: B2B

Funding Stage: Bootstrapped

Industry: Financial services

Salary Range: ₹ 60-80 Lacs PA

Job Description

This is a Permanent Role with a Valued Clients of People Impact

Key Responsibilities

  • Implement and maintain data pipelines for ingestion, transformation, and delivery
  • Ensure data quality through validation and monitoring processes
  • Collaborate with senior engineers to design scalable data solutions
  • Work with business analysts to understand and implement data requirements
  • Optimize data models and queries for performance and efficiency
  • Follow engineering best practices and contribute to team standards
  • Participate in code reviews and knowledge sharing activities
  • Implement data security controls and access policies
  • Troubleshoot and resolve data pipeline issues

Core Technical Skills

  • Cloud Platforms: Proficient with cloud-based data platforms (Snowflake, data lakehouse architecture)
  • AWS Ecosystem: Strong knowledge of AWS services including Lambda, Glue, and S3
  • Streaming Architecture: Understanding of event-based or streaming data concepts using Kafka
  • Programming: Strong proficiency in Python and SQL
  • DevOps: Experience with CI/CD pipelines and infrastructure as code (Terraform)
  • Data Security: Knowledge of implementing basic data access controls
  • Database Systems: Experience with RDBMS (Oracle, Postgres, MSSQL) and exposure to NoSQL databases
  • Data Integration: Understanding of data integration patterns and techniques
  • Orchestration: Experience using workflow tools (Airflow, Control-M, etc.)
  • Engineering Practices: Experience with GitHub, code verification, and validation
  • Domain Knowledge: Basic knowledge of investment management industry concepts

Bonus Technical Skills

  • Understanding of containerization concepts
  • Exposure to API development using Python-based frameworks
  • Basic familiarity with Asset Management data domains
Click on Apply to know more.

Skills

Python
Airflow
AWS
API
containerization
data models
data solutions
database
GitHub
Kafka
Lambda
NoSQL
Oracle
Postgres
Snowflake
SQL
Terraform