Laksys Consulting

Data Engineer

Laksys Consulting

contract

Posted on:

Location Type: Hybrid

Location: Coimbatore • 🇮🇳 India

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Job Level

SeniorLead

Tech Stack

Amazon RedshiftAWSCloudPythonSQL

About the role

  • We are seeking a highly skilled and driven Data Engineering Lead to lead our data engineering team. The ideal candidate combines strong leadership and technical expertise with the ability to deliver results under tight timelines.
  • You will own the end-to-end design, development, and delivery of scalable data platforms and solutions, ensuring data availability, reliability, and usability across the organization.
  • Lead, mentor, and grow a high-performing team of data engineers.
  • Own the design, implementation, and optimization of data pipelines, data models, and data architectures across OLAP and operational systems.
  • Drive critical data initiatives including ingestion, transformation, governance, and analytics enablement.
  • Partner with product, analytics, and business teams to align data solutions with business objectives, especially in supply chain domain.
  • Ensure timely and high-quality delivery of data solutions, meeting strict deadlines and performance benchmarks.
  • Foster a culture of ownership, accountability, and continuous improvement within the team.
  • Provide technical direction on AWS cloud-native data services including Redshift, Glue, and Quicksight.
  • Oversee the creation and optimization of stored procedures, SQL scripts, Python utilities, and JSON-based workflows.
  • Define and enforce standards for data modeling, metadata management, and data layer architecture.
  • Collaborate with stakeholders to design data visualization and reporting solutions (Figma, QuickSight, etc.).
  • Apply critical thinking to solve complex data challenges and guide the organization toward data-driven decision-making.

Requirements

  • Name of the position : Data Engineer
  • Location : Coimbatore / Remote
  • No. of resources needed: 01
  • Mode: Contract to Hire
  • Years of experience: 8+ Years
  • Lead, mentor, and grow a high-performing team of data engineers.
  • Own the design, implementation, and optimization of data pipelines, data models, and data architectures across OLAP and operational systems.
  • Drive critical data initiatives including ingestion, transformation, governance, and analytics enablement.
  • Partner with product, analytics, and business teams to align data solutions with business objectives, especially in supply chain domain.
  • Ensure timely and high-quality delivery of data solutions, meeting strict deadlines and performance benchmarks.
  • Provide technical direction on AWS cloud-native data services including Redshift, Glue, and Quicksight.
  • Oversee the creation and optimization of stored procedures, SQL scripts, Python utilities, and JSON-based workflows.
  • Define and enforce standards for data modeling, metadata management, and data layer architecture.
  • Collaborate with stakeholders to design data visualization and reporting solutions (Figma, QuickSight, etc.).
  • Apply critical thinking to solve complex data challenges and guide the organization toward data-driven decision-making.
  • Leadership: Proven experience managing and mentoring a team of data engineers.
  • Technical Expertise: Strong proficiency in AWS Redshift, Glue, Quicksight.
  • Advanced SQL and Stored Procedures development.
  • Experience with Python, JSON, and automation scripting.
  • Deep knowledge of data modeling, OLAP systems, and data layer architecture.
  • Domain Knowledge: Understanding of Supply Chain systems and processes.
  • Tools & Platforms: Experience with Figma (for data/UX design) and visualization frameworks.
  • Soft Skills: Ownership mindset, ability to meet high-performance delivery timelines, and excellent critical thinking.
  • Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
  • Experience working in fast-paced environments with high-volume data systems.
  • Exposure to model engineering and advanced analytics pipelines.
  • Prior experience with data governance frameworks and cloud data warehousing best practices
  • Job Title: Data Engineer
  • City: Coimbatore
  • Industry: IT
  • Qualification: Any Degree
  • Year of Experience: 8+ years
  • Required Skills: AWS Redshift, Glue, Quicksight, SQL, Python
  • Working Shift: 2PM to 11PM IST
  • Country: India
  • Submit Your Application You have successfully applied You have errors in applying Apply With Resume * First Name * Middle Name Last Name * Email * Mobile Total Experience * Relevant Experience * Current CTC * Rate Card * Notice Period * Current Location * Preferred Location

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringdata pipelinesdata modelsdata architecturesSQLPythonstored proceduresdata governanceOLAPdata transformation
Soft skills
leadershipmentoringcritical thinkingownership mindsetaccountabilitycommunicationteam collaborationresults-driventime managementproblem-solving
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Data Engineering