Data Engineer

7 days ago

Bengaluru, Karnataka, India Factspan Analytics Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Factspan Overview: Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed. With offices in Seattle, Washington and Bengaluru, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors.

Work Timing: 2.00 PM IST to 10.00 PM IST

Position Summary:

We are seeking a skilled Data Engineer with 7+ years of experience to join our growing team. The successful candidate will work on client engagements involving modern data stack implementations, focusing on AWS cloud infrastructure, Snowflake data warehousing, DBT transformations, SQL, Python, Linux, and job scheduling (Control-M). This role offers the opportunity to work with diverse clients across industries while developing expertise in the latest data engineering technologies.

Work Timing: 2.00 PM IST to 10.00 PM IST

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines using AWS services (S3, Lambda, Glue, Step Functions, etc).
  • Implement ETL/ELT processes to ingest data from various sources into Snowflake data warehouse
  • Develop automated data workflows to ensure reliable and timely data delivery
  • Write and maintain DBT models for data transformation and business logic implementation
  • Create efficient SQL queries and stored procedures for data processing and analysis
  • Design and implement dimensional data models following best practices
  • Develop Python scripts for data wrangling, cleaning, and preprocessing
  • Create reusable Python modules and libraries for common data engineering tasks
  • Optimize Snowflake warehouse performance and cost management
  • Linux system and commands knowledge
  • Job Scheduling through Control M (Optional)

Quick Intake:

Overall 8+ years of experience with 6+ years relevant experience in the below mentioned skills

  1. SQL : Advanced : Should be proficient in creating efficient SQL queries and stored procedures for data processing and analysis
  2. Data Modelling : Advanced : Should be proficient in designing, implementing and analysing dimensional data models following best practices
  3. DBT : Advanced :  Should have expertise in  writing,maintaining and analysing DBT models for data transformation and business logic implementation
  4. Snowflake : Advanced : Should have worked with Snowflake and handled ETL/ELT process to load and transform data into Snowflake
  5. Gitlab & GitRepo : Should be proficient in code management using Gitlab & GitRepo

Skills - AWS Cloud Platform, Snowflake, DBT, SQL, Python, Version Control, Linux System, Control-M, Data Modeling, Gitlab, Gitrepo

Join Us as a Data Engineer

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