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In this role, you will support the Data Engineering team in setting up the Data Lake on Cloud and the implementation of a 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 a 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 the value of the 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
Excellent in the Azure Databricks platform
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)
Knowledge of Big data ETL processing tools
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.
Lead digital transformation initiatives aligned with Infogain’s delivery framework
Translate client needs into scalable solutions using Infogain’s cloud-native accelerators
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): ETL, Databricks, Apache Spark, Azure Data Factory
About Infogain
We are a digital platform and software engineering company focused on delivering business outcomes for major companies across various industries using advanced technologies such as cloud, microservices, automation, IoT, and artificial intelligence. Our goal is to accelerate experience-led transformation in the delivery of digital platforms. We have a global presence with offices and delivery centers in multiple countries.
At Infogain, we accelerate digital transformation for the world’s most innovative enterprises. As a Silicon Valley–headquartered firm with delivery excellence across North America, Europe, and Asia, Infogain’s mission is to “Engineer Business Outcomes.”
For over 30 years, Infogain has partnered with Fortune 500 companies to modernize platforms, optimize customer journeys, and unlock data-driven growth. Learn more at www.infogain.com.
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