Data Engineer (Python, SQL, Hadoop)
With a startup spirit and 80,000+ curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it. Now, we’re calling all you rule-breakers and risk-takers who see the world differently, and are bold enough to reinvent it. Come, transform with us.
Inviting applications for the role of Data Engineer
You are responsible for specification, development, test and rollout of features on our data platform. You are expected to contribute to the vision, understand customer product roadmap, integrate business value and client experience and contribute to build an engineering culture within the team. This initiative is of critical important to the success of the organization and our roadmap. Accurate, granular, complete and timely data will be our key differentiating factor and competitive advantage in the market place.
Responsibilities
· Looking for very hands on passionate coder who can develop the code as per business and technical requirements.
· We are looking for someone who is passionate about technology and engineering
· Has exceptional analytical skills and ability to apply knowledge and experience in
decision-making to arrive at creative and commercial solutions
· Manage multiple tasks and use sound judgment when prioritizing
· Collaborate with global cross functional team in building customer-centric
products
· Analyze existing software implementations to identify areas of improvement and
provide deadline estimates for implementing new features
· Update and maintain documentation for team processes, best practices and
software runbooks
· Establish trusted partnerships with peers, and customer stakeholders
· Leverage technology to deliver business value
· Energetic, self-directed and self-motivated
· Ability to communicate clearly
Qualifications
Minimum qualifications
· B.S. or higher in Computer Science
· A very hands on coding experience using a modern programming language (Python or Scala)
· Understand data ingestion mechanics
· Hands on coding experience in Hadoop Ecosystems with at-least one/multiple major distributions: AWS (or) Azure HDInsight/Databricks (or) Hortonworks-HDP (or) Cloudera-CDP
· Good working experience in writing & Understanding Complex HQL queries using Hive and SQL queries.
· Hands on experience with writing Complex Spark programs in Scala/Python to process huge volume of data.
· Experience with developing systems that can scale to large amounts of data
· Strong Hands on experience in Unix Shell scripting for automation activities
· Very hands on experience in anyone of traditional relational databases development like Teradata, Oracle, Netezza, SQLServer so on
· Experience in working with Scrum teams
Preferred qualifications
· Experience with real-time streaming tools like Apache Kafka and NiFi
· Hands on Experience in using any ETL tools like Informatica (or) IBM Infosphere (or) Talend.
· Knowledge of Healthcare and Insurance Domain
· Experience in Data Warehouse and BI Analytics
· Good understanding of the project lifecycle process, with experience working in an agile scrum operating model
· Good understanding of the software development lifecycle, including continuous build and test, peer code review, design review, info security review, production, UAT and QA release cycles
· Experience with NoSQL databases, such as HBase, Cassandra
· Authorization to work in the US is a precondition of employment
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.