Azure Senior Data Engineer at Hyderabad,IN

Posted Yesterday
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Hiring Remotely in Nānakrāmguda, Rangareddi, Telangāna, IND
Remote
Senior level
Information Technology • Professional Services • Software • Consulting
The Role
Design, build and maintain secure, high-quality data pipelines on Azure (Data Factory, Databricks, Synapse). Cleanse, transform and optimise large event-based datasets, implement data quality/observability, develop ETL scripts, stored procedures, and CI/CD pipelines, and participate in testing and troubleshooting.
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Job Description

Position : Senior Data Engineer Azure
Location : Hyderabad Hybrid role 
Duration : Fulltime

HACKER RANK TEST AND F2F INTERVIEW AFTER 1ST ROUND OF VIRTUAL INTERVIEW

Senior Data Engineer 

  

We are recruiting for an experienced Senior Data Engineer and we’ll give you the opportunity to grow and develop your capabilities as well as supporting you through Microsoft certifications. You’ll have experience in:

 

·        Developing low to high complexity, secure, governed, high quality and efficient data pipelines from a variety of on and off premise, internal and external data source.

·        Ensuring that data is cleansed, mapped, transformed and optimised for storage to meet requirements for business and technical use cases.
·        Building data observability and data quality by design into all Data pipelines, promoting self-testing pipelines that proactively identify processing issues or discrepancies.

·        Take all requirements into account when creating a proposal
·        Understanding and evaluating the organisational impact of new technologies and digital services
·        Troubleshooting and resolving issues

 

You may be building solutions that transform data into data lake storage areas, physical database models and reporting structures across data lakes, data warehouse, business intelligence systems and analytics applications.

You may also be required to carry out unit testing of own code and peer testing of others to ensure appropriate quality.

 

Experience

·        Experience of working with large, event based, datasets in an enterprise environment.
·        Minimum 4 years within an Azure or SQL Data Engineering environment
·        Engineering and database skills in SQL Server and/or Azure (Data Factory, Synapse) and the associated ETL technologies.
·        Experience developing, driving & maintaining Data Integration Roadmaps and best practices.
·        Overall responsibility of all technical business requirements gathering deliverables and implementation.
·        Ability to deliver high to low-level designs for Data Solutions and have a good understanding of the full data lifecycle.
·        Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc.

·        Hands-on experience designing and developing stored procedures/functions and leveraging ETL packages/workflows
·        Expertise in Cloud related Big Data integration and infrastructure tech stack using Azure Databricks & Apache Spark framework
·        Well-versed with scripting languages such as Python
·        Experience of Continuous Integration / Continuous Delivery (CI/CD).
·        Experience of working in an agile environment and self-managing teams.
·        Understanding and practical knowledge of testing techniques and tools

 

Desired technologies

·        Big Data
·        Azure
·        Spark
·        Python
.        Azure Databricks
·        Azure Synapse
·        Azure Data Factory
·        SQL Server

Qualifications

AZURE SYNAPSE,SPARK,DATABRICKS 

Additional Information

All your information will be kept confidential according to EEO guidelines.

Skills Required

  • Minimum 4 years experience in Azure or SQL Data Engineering
  • Experience working with large, event-based enterprise datasets
  • Hands-on experience with Azure Data Factory
  • Hands-on experience with Azure Databricks and Apache Spark
  • Hands-on experience with Azure Synapse
  • Strong SQL Server skills and experience developing stored procedures/functions
  • Proficient in Python and PySpark for ETL and data processing
  • Experience designing and developing custom ETL processes and automation
  • Experience implementing Data Integration roadmaps and best practices
  • Experience with CI/CD for data solutions
  • Ability to produce high- and low-level designs for data solutions and understand full data lifecycle
  • Experience with testing techniques and tools, unit and peer testing
  • Experience working in an agile environment and self-managing teams
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The Company
125 Employees
Year Founded: 1998

What We Do

Jupiter Consulting Services is an information technology services company that specializes in delivering innovative solutions across various industries, including the automotive sector. The company offers a diverse suite of services, including ERP, networking, programming, web designing, and internet-based services, as well as various outsourcing solutions. They serve a global clientele, providing professional IT expertise to help businesses optimize their technical infrastructure and digital presence.

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