Sr Data Engineer
Sr Data Engineer
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Job Description
About us:
As a Fortune 50 company with more than 400000 team members worldwide Target is an iconic brand and one of Americas leading retailers.
Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here we believe your unique perspective is important and youll build relationships by being authentic and respectful.
Overview about TII:
At Target we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers worldclass outcomes. That winning formula is especially apparent in Bengaluru where Target in India operates as a fully integrated part of Targets global team and has more than 4000 team members supporting the companys global strategy and operations.
Team Overview:
Every time a guest enters a Target store or browses nor the app they experience the impact of Targets investments in technology and innovation. Were the technologists behind one of the most loved retail brands delivering joy to millions of our guests team members and communities.
Join our global inhouse technology team of more than 5000 of engineers data scientists architects and product managers striving to make Target the most convenient safe and joyful place to shop. We use agile practices and leverage opensource software to adapt and build bestinclass technology for our team members and guestsand we do so with a focus on diversity and inclusion experimentation and continuous learning.
AtTarget we are gearing up for exponential growth and continuously expanding our guest experience.To support this expansion Data Engineering is building robust warehouses and enhancing existing datasets to meet business needs across the enterprise. We are looking for talented individuals who are passionate about innovative technology data warehousing and are eager to contribute to data engineering.
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Position Overview:
Assess client needs and convert business requirements into business intelligence (BI) solutions roadmap relating to complex issues involving longterm or multiwork streams.
Analyze technical issues and questions identifying data needs and delivery mechanisms
Implement data structures using best practices in data modeling ETL/ELT processes Spark Scala SQL database and OLAP technologies
Manage overall development cycle driving best practices and ensuring development of high quality code for common assets and framework components
Develop testdriven solutions and provide technical guidance and heavily contribute to a team of high caliber Data Engineers by developing testdriven solutions and BI Applications that can be deployed quickly and in an automated fashion.
Manage and execute against agile plans and set deadlines based on client business and technical requirements
Drive resolution of technology roadblocks including code infrastructure build deployment and operations
Ensure all code adheres to development & security standards
About you:
4 year degree or equivalent experience
5 years of software development experience preferably in data engineering/Hadoop development (Hive Spark etc.)
Hands on Experience in Object Oriented or functional programming such as Scala / Java / Python
Knowledge or experience with a variety of database technologies (Postgres Cassandra SQL Server)
Knowledge with design of data integration using API and streaming technologies (Kafka) as well as ETL and other data Integration patterns
Experience with cloud platforms like Google Cloud AWS or Azure. Hands on Experience on BigQuery will be an added advantage
Good understanding of distributed storage(HDFS Google Cloud Storage Amazon S3) and processing(Spark Google Dataproc Amazon EMR or Databricks)
Experience with CI/CD toolchain (Drone Jenkins Vela Kubernetes) a plus
Familiarity with data warehousing concepts and technologies.
Maintains technical knowledge within areas of expertise
Constant learner and team player who enjoys solving tech challenges with global team.
Hands on experience in building complex data pipelines and flow optimizations
Be able to understand the data draw insights and make recommendations and be able to identify any data quality issues upfront
Experience with testdriven development and software test automation
Follow best coding practices & engineering guidelines as prescribed
Strong written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to variety of audiences
Senior IC
Employment Type
Full-Time
Key Skills
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