Data Engineering Manager

Job Description

Does the prospect of dealing with massive volumes of data excite you Do you want to be a part of building data engineering solutions that process billions of records a day in a scalable fashion using AWS technologies Do you want to create the next-generation tools for intuitive data access Amazons Finance Tech team needs a Data Engineering Manager to lead a team of DATA and BI engineers in our Hyderabad, India office. Our ideal candidate is customer focused and enjoys the challenge of highly complex business contexts that are typically being defined in real-time. You will be a passionate builder of talent and teams. As a Manager within Finance Technology you will help set the vision for a new suite of technology that will enable thousands of global Amazonians continue to be Earths Most Customer Centric Company.Data Engineering Managers at Amazon are owners. You will own your team, your roadmap and the end to end customer experience. You will drive engineering and operational excellence in your team and build delightful products for your customers. You will partner with business stakeholders and will strive to earn their trust. You will work directly with yourcustomers and will constantly innovate on their behalf. You will be a great people manager and enjoy working with diverse mindsets.As a Data Engineering Manager, you will play a thought leadership role in your team the team will look to you for advice on data and business issues facing them. You will have a company-wide view of the Data Engineering solutions that you build, and you will consistently think in terms of automating or expanding the results company-wide. This high impact role will have an opportunity to lead a team to help design and build our data infrastructure and work with emerging technologies such as EMR, Glue, Spark and associated AWS cloud services while driving business intelligence solutions end-to-end: business requirements, workflow instrumentation, data modeling and ETL. You should be an expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data lake and into end-user facing applications. The role requires someone who loves data, understands enterprise information systems, has a strong business sense, and can lead a team to put these skills into action., 5+ years of experience as a Data Engineer or in a similar role Experience managing a data or BI team Experience with data modeling, data warehousing, and building ETL pipelines Experience leading and influencing the data strategy of your team or organization Experience in SQL 5+ Years of Data Warehouse Experience with Oracle, Redshift, PostgreSQL, etc Demonstrated strength in SQL, data modeling, ETL development, and data warehousing Experience managing a data or BI team and Experience leading and influencing the data strategy of your team or organization Coding proficiency in at least one modern programming language (Python, Ruby, Scala, Java, etc. Experience mentoring and managing other Data Engineers, ensuring data engineering best practices are being followed A strong desire to work in a fast paced dynamic environment. The candidates previous experience should also include exposure to very large databases, with a mix of software and data engineering. Experience leading large-scale data warehousing and analytics projects, including using AWS technologies Redshift, S3, Glue, EMR, EC2, Data-pipeline and other big data technologies Background in financial applications Experience prioritizing competing demands, scoping large efforts and negotiating timelines are necessary skills. Extensive Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) Strong interpersonal skills and the ability to communicate complex technology solutions to senior leadership, gain alignment, and drive progressAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Keyskills :
data warehousingcommercial modelsthought leadershipcustomer centricproduction systemsbig datadata engineeringdata modelinginformation systems