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BriefCase

Data Engineer Job in Isagebrum Technologies Pvt Ltd

Data Engineer

Isagebrum Technologies Pvt Ltd 4+ weeks ago
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Job Summary

Job Title: Data Engineer

Position Overview: We are seeking a Data Engineer to join our team and work on developing and maintaining our Python-based applications. The Data Engineer will be responsible for designing, developing, testing, and maintaining code for new features while fixing bugs in the existing codebase. The role requires experience with ETL/ELT tools, SQL, Python, and PowerBI to deliver high-quality data integration and reporting solutions.

Key Responsibilities

  • Collaborate with the source application team and Data Champions to build and maintain the ETL/ELT pipelines for various source systems across the organization.
  • Utilize applicable tools (e.g., SSIS, APIs) to qualify, extract, standardize/normalize, optimize, and import data from source to target data marts.
  • Demonstrated experience working with Microsoft SQL Server Integration Services (SSIS) to create and deploy ETL packages.
  • Write and optimize complex SQL queries, stored procedures, views, and functions for data extraction and transformation.
  • Work on data analysis projects and continuous improvement programs to support internal projects.
  • Use data visualization and reporting tools like Power BI/SSRS to create and publish reports.
  • Write high-quality, clean, and maintainable code.
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Identify and fix bugs in existing code and optimize the performance of our applications.
  • Ensure proper documentation for all tasks and deliverables.

Requirements

  • 3 to 5 years of experience in ETL/ELT tools, SQL, SSIS, Python, and PowerBI.
  • Solid Python development skills, particularly for data manipulation or back-end API/framework development.
  • Experience with SSIS and Business Objects Data Services, including data governance, master data management, data cleansing, Slowly Changing Dimensions, and Change Data Capture.
  • Experience developing ETL pipelines using Python and SSIS to support data warehouse and data pipeline automation.
  • Proven ability to write complex SQL queries and optimize them for performance.
  • Experience managing production support for ETL projects and handling deployment activities.

Tools and Activities Experience

  • Data Integration and Management Tools: SQL Server Integration Services (SSIS), APIs, Python, SQL Server.
  • Databases: SQL Server, MySQL, DB2.
  • Data Visualization Tools: Microsoft Power BI, SSRS.
  • Cloud: Azure (preferred).
  • Skill Sets: Python, SQL Server, PowerBI, Azure (plus).

Desired Skills

  • Strong analytical skills with the ability to write and optimize SQL queries effectively.
  • Excellent problem-solving and troubleshooting skills, particularly in a production support environment.
  • Ability to work independently and manage multiple projects simultaneously.
  • Strong written and verbal communication skills for reporting and collaborating across teams.
Experience Required :

Minimum 3 Years

Vacancy :

2 - 4 Hires

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