Senior Data Engineer

EverestDX Inc

Hyderabad

On-site

INR 800,000 - 1,500,000

Full time

14 days+
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Benefits offered by this job

Continuous learning and training
Collaborative culture
Agile work environment
Exposure to advanced technologies

Job summary

Join a forward-thinking digital platform services company as an Azure Data Engineer! This role offers the chance to work with cutting-edge technologies in a collaborative and innovative environment. You will design and implement data pipelines, optimize SQL queries, and manage data warehousing solutions. With a focus on continuous learning and exposure to advanced technologies, this position is perfect for those looking to make a significant impact in digital transformation. Be part of a team that values agility and fosters a startup mindset, where your contributions will be recognized and rewarded.

Qualifications

  • 7+ years of experience in Azure Cloud and data engineering.
  • Hands-on experience with data warehousing and complex SQL queries.

Responsibilities

  • Design and implement data pipelines using Azure services.
  • Optimize SQL queries and manage data warehousing solutions.

Skills

Azure Data Factory
SQL Optimization
Python
Data Warehousing
ETL/ELT Pipelines
SAP Business Processes
Data Modeling
Performance Tuning
Cloud Data Engineering
Kubernetes

Tools

Azure Databricks
PowerBI
Azure Blob Storage
Presto
Azure Key Vault

Job description

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Direct message the job poster from EverestDX Inc

Human Resource Management | Digital Talent Management

Everest DX – We are a Digital Platform Services company, headquartered in Stamford. Our platform includes orchestration, intelligent operations with bots, AI-powered analytics for enterprise IT. Our vision is to enable digital transformation for enterprises to deliver seamless customer experience, business efficiency, and actionable insights through a set of cutting-edge digital technologies.

Our services specialize in designing, building, developing, integrating, and managing cloud solutions, modernizing data centers, building cloud-native applications, and migrating existing applications into secure, multi-cloud environments to support digital transformation. Our platform services help organizations reduce IT resources, improve productivity, lower costs, and accelerate digital transformation.

Digital Platform - Cloud Intelligent Management (CiM) - An autonomous hybrid cloud management platform that operates across multi-cloud environments, helping enterprises maximize their cloud strategy while reducing costs, risks, and increasing speed.

To learn more, visit: http://www.everestdx.com

Job Title: Azure Data Engineer with S/4 HANA

Job Type: Full Time

Experience: 7+ years

Notice Period: Immediate to 30 days joiners are highly preferred

  • Hands-on experience with Azure Cloud components like Azure Data Factory, Azure Blob Storage, Azure Data Flows, Presto, Azure Databricks, and Azure Key Vault.
  • Experience with data warehousing including S/4 Hana, ADLS, Teradata/SQL, and data analytics tools.
  • Proficiency in complex SQL queries, views, and stored procedures for data loading.
  • Good understanding of SAP business processes and master data.
  • Exposure to SAP BW, native Hana, BW/4HANA, Teradata, and ETL technologies is preferred.
  • Minimum 7+ years in SQL optimization, performance tuning, and programming languages like Python, PySpark, Scala.
  • Extensive experience in cloud data engineering on Azure.
  • Azure certification is preferred.
  • Experience integrating multi-cloud services with on-premises technologies.
  • Skills in data modeling, warehousing, and building high-volume ETL/ELT pipelines.
  • Experience operating highly available, distributed systems for large data sets.
  • Experience with cloud infrastructure, containerized services like Kubernetes, version control, deployment, and CI tools.
  • Proficiency with Azure Data Factory, Azure Databricks, Python, and business intelligence tools like PowerBI.

Why Join Us:

  • Continuous learning through training, certifications, and cutting-edge projects.
  • Collaborative, innovative culture with open communication.
  • Agile work environment with a startup mindset.
  • Exposure to advanced technologies and innovative product development.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Consulting, Product Management, and IT
Industries
  • IT Services and Consulting
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