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Intermediate Data Engineer (Cloud) 4+ years exp
Intermediate Data Engineer (Cloud) 4+ years exp
Delivery Solutions's logo

Intermediate Data Engineer (Cloud) 4+ years exp

TA Team's profile picture
Posted by TA Team
5 - 13 yrs
₹15L - ₹28L / yr
Chennai
Skills
skill iconPython
Windows Azure
SQL
Apache Spark
skill iconScala
PowerBI
databricks
Spark
skill iconReact.js

Job Description


This position participates in the support of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science practices for Marketing and Finance business units. This position supports the integration of data from various data sources, as well as performs extract, transform, load (ETL) data conversions, and facilitates data cleansing and enrichment. This position performs full systems life cycle management activities, such as analysis, technical requirements, design, coding, testing, implementation of systems and applications software. This position participates and contributes to synthesizing disparate data sources to support reusable and reproducible data assets.



RESPONSIBILITIES


• Supervises and supports data engineering projects and builds solutions by leveraging a strong foundational knowledge in software/application development. He/she is hands on.

• Develops and delivers data engineering documentation. 

• Gathers requirements, defines the scope, and performs the integration of data for data engineering projects. 

• Recommends analytic reporting products/tools and supports the adoption of emerging technology.

• Performs data engineering maintenance and support.

• Provides the implementation strategy and executes backup, recovery, and technology solutions to perform analysis.

• Performs ETL tool capabilities with the ability to pull data from various sources and perform a load of the transformed data into a database or business intelligence platform.

• Codes using programming language used for statistical analysis and modeling such as Python/Spark


REQUIRED QUALIFICATIONS


4-7 years of experience

• Literate in the programming languages used for statistical modeling and analysis, data warehousing and Cloud solutions, and building data pipelines. 

Proficient in developing notebooks in Data bricks using Python and Spark and Spark SQL.

Strong understanding of a cloud services platform (e.g., GCP, or AZURE, or AWS) and all the data life cycle stages. Azure is preferred.

• Proficient in using Azure Data Factory and other Azure features such as LogicApps.

• Preferred to have knowledge of Delta lake, Lakehouse and Unity Catalog concepts.

• Strong understanding of cloud-based data lake systems and data warehousing solutions.

• Has used AGILE concepts for development, including KANBAN and Scrums

• Strong understanding of the data interconnections between organizations’ operational and business functions.

• Strong understanding of the data life cycle stages - data collection, transformation, analysis, storing the data securely, providing data accessibility 

• Strong understanding of the data environment to ensure that it can scale for the following demands: Throughput of data, increasing data pipeline throughput, analyzing large amounts of data, Real-time predictions, insights and customer feedback, data security, data regulations, and compliance.

• Strong knowledge of algorithms and data structures, as well as data filtering and data optimization.

• Strong understanding of analytic reporting technologies and environments (e.g., Power BI, Looker, Qlik, etc.)


REQUIRED SKILLS

3 years of experience with Databricks, Apache Spark, Python, and SQL


PREFERRED SKILLS

DeltaLake Unity Catalog, R, Scala, Azure Logic Apps, Cloud Services Platform (e.g., GCP, or AZURE, or AWS), and AGILE concepts.



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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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About Delivery Solutions

Founded :
2015
Type
Size
Stage :
Profitable
About

Out-of-the-box solutions are provided by Delivery Solutions to retailers, allowing them to provide customer experiences such as curbside delivery, same-day delivery, shipping, in-store pickup, and post-purchase pickup. The company collaborates with some of the most recognizable names in the retail industry, such as Michael's, Sephora, Loblaw, GameStop, Office Depot, Sally Beauty, Total Wine, Belk, and Abercrombie & Fitch.


Its SAAS-based solution is incredibly adjustable and works in combination with e-commerce sites, warehouse management systems, order management systems, and point-of-sale systems to give a highly scalable experience and a base of delighted customers. They have direct connections to the most prominent businesses in same-day delivery, like DoorDash, Uber, Postmates, and Shipt, amongst others, in addition to the most prominent shipping firms, including UPS, FedEx, USPS, and others.


Perks & Benefits @Delivery Solutions: 

  • Permanent Remote work - (Work from anywhere)
  • Broadband reimbursement
  • Flexi work hours - (Login/Logout flexibility)
  • 21 Paid leaves in a year (Jan to Dec) and 7 COVID leaves
  • Two appraisal cycles in a year
  • Encashment of unused leaves on Gross
  • RNR - Amazon Gift Voucher
  • Employee Referral Bonus
  • Technical & Soft skills training
  • Sodexo meal card
  • Surprise on birthday/ service anniversary/new baby/wedding gifts
  • Annual trip 
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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