Azure Data Engineer (Standard)

Roles & Responsibilities

Job Description:

Data Engineering - Big Data, ETL , data

Job Profile Summary

In this role, you will support the Data Engineering team in setting up the Data Lake on Cloud and the implementation of standardized Data Model. You will develop data pipelines for new sources, data transformations within the Data Lake, CI/CD and data delivery as per the business requirements.

Job Description

• Build pipelines to bring in wide variety of data from multiple sources within the organization as well as from social media and public data sources.
• Collaborate with cross functional teams to source data and make it available for downstream consumption.
• Work with the team to provide an effective solution design to meet business needs.
• Ensure regular communication with key stakeholders, understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.
• Ensure dependencies and challenges (risks) are escalated and managed. Escalate critical issues to the Sponsor and/or Head of Data Engineering.
• Ensure timelines (milestones, decisions and delivery) are managed and value of initiative is achieved, without compromising quality and within budget.
• Ensure an appropriate and coordinated communications plan is in place for initiative execution and delivery, both internal and external.
• Ensure final handover of initiative to business as usual processes, carry out a post implementation review (as necessary) to ensure initiative objectives have been delivered, and any lessons learned are fed into future initiative management processes.
  
  

Who We Are Looking For

Competencies & Personal Traits

• Work as a team player
• Excellent problem analysis skills
• Experience with at least one Cloud Infra provider (Azure/AWS)
• Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, Dataframe API) or Hive query language (HQL)
• Knowledge of Big data ETL processing tools
• Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
• Basic knowledge of scripting (shell / bash)
• Experience of working with multiple data sources including relational databases (SQL Server / Oracle / DB2 / Netezza), NoSQL / document databases, flat files
• Basic understanding of CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
• Basic understanding of DevOps practices using Git version control
• Ability to debug, fine tune and optimize large scale data processing jobs
  
  

Working Experience

• 1-3 years of broad experience of working with Enterprise IT applications in cloud platform and big data environments.
  
  

Professional Qualifications· Certifications related to Data and Analytics would be an added advantage

Education· Master/bachelor’s degree in STEM (Science, Technology, Engineering, Mathematics)

Language· Fluency in written and spoken English

Experience

• 4.5-6 Years
  
  

Skills

• Primary Skill: Data Engineering
• Sub Skill(s): Data Engineering
• Additional Skill(s): Azure Datalake, Azure Data Factory
  
  

About The Company

Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).

Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.