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HCLTech

Senior Technical Specialist

Noida · Staff/Principal

Good timing - competition is buildingVerified listingPosted 3d ago

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86Overall
64Skills
97Experience

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Skills required

8 listed
Data LayersAzure DevOpsPower BISnowflake (Data Warehouse)SQL (Programming Language)Microsoft AzureSource (Game Engine)GitHub
Data LayersAzure DevOpsPower BISnowflake (Data Warehouse)SQL (Programming Language)

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Job description

Job Summary

We are seeking a highly skilled and experienced Data/BI Engineer to join our Data Analytics team. The ideal candidate will have a comprehensive understanding of data lake/data warehouse concepts, extensive experience with cloud-based data platforms, and a proven ability to design, build, maintain, and optimize data pipelines. Additionally, they should possess expertise in data modeling, Snowflake, and DBT to effectively manage, transform, and analyze data within the data warehouse.

Key Responsibilities

Responsibilities:

  • Collaborate with business and data analysts to understand data requirements, develop data solutions, and translate business needs into technical specifications
  • Design, build, and maintain data pipelines to seamlessly transfer data from source systems to data warehouses and data lakes
  • Monitor and troubleshoot data pipeline performance, optimize data processing efficiency, and identify performance bottlenecks
  • Designing data layers in data warehouse as per industry standards . Data modeling as per Kimball’s standards and come out with performance effective data design.
  • Implement data quality and data governance processes to maintain the accuracy and reliability of data
  • Stay up-to-date on the latest data technologies and trends, particularly in the realm of data modeling, cloud-based data platforms, and data transformation tools

Skill Requirements

Qualifications:

  • Bachelor's degree in computer science, engineering, or a related field
  • Minimum of 10+ years of experience in data engineering or a related field
  • In-depth understanding of data lake/data warehouse concepts, data modeling principles, and data transformation methodologies
  • Proven experience with cloud-based data platforms
  • Proficient in Snowflake, including data modeling, data warehousing, and data engineering
  • Expertise in DBT, demonstrating the ability to design, develop, and maintain SQL-based data transformations
  • Familiarity with programming languages such as SQL
  • Excellent communication and collaboration skills, fostering a collaborative environment and effective knowledge sharing
  • Strong analytical mindset, with the ability to solve complex data-related problems and identify potential issues proactively

Skill      Mandatory/Optional     Expected score for project

(out of 10)          Remarks

Problem statement, solutioning/ consulting, Analytics              Mandatory              7           

Data warehouse knowledge     Mandatory         7           

Azure (cloud knowledge & Azure components)              Mandatory         6             

ADF      Mandatory         7           

Snowflake         Mandatory         5           

SQL       Mandatory         8           

DBT       Optional            7           

Data modeling Mandatory         7           

Source control (Github)              Mandatory         7           

Azure Devops   Optional            5           

Power BI            Optional            7            Will be given preference to those profiles having this skill

Soft skills          Mandatory         7           

Agile delivery methodology       Optional            5           

Other Requirements

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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