Senior Data Developer Job in Delhivery Pvt Ltd.

Description

Looking for the big data engineer to help shape our technology and product roadmap. You will be part of the fast-paced, entrepreneurial team that enables Big Data and batch/ real-time analytical solutions leveraging transformational technologies (Python, Scala, Java, Hadoop, MapReduce, Kafka, Hive, HBase, Spark, Storm, etc.) to deliver innovative solutions.

As a data developer at Delhivery you are expected to work closely with Product team to do rapid development of new features / enhancements, work with the Data Services team to design and build data stores, write effective MapReduce / aggregations, write quality code and work with your lead and team to drive quality and efficiency.

Responsibility

• You will be responsible for delivering high-value next-generation products on aggressive deadlines and will be required to write high-quality, highly optimized/high-performance and maintainable code
• Manage ETL/ELT pipelines of various Microservices
• Work on distributed/big-data system to build, release and maintain an Always On scalable data processing and reporting platform
• Work on relational and NoSQL databases
• Build scalable architectures for data storage, transformation and analysis
• Ability to work in the fast-paced and dynamic environment

Qualifications

• Overall 3+ years of IT experience in a variety of industries, which includes hands on experience in Big Data Analytics and development
• 2+ yrs of experience in writing pyspark for data transformation.
• 2+ years of experience with detailed knowledge of data warehouse technical architectures, ETL/ ELT, reporting/analytic tools, and data security
• 2+ years of experience in designing data warehouse solutions and integrating technical components
• 2+ yrs of experience leading data warehousing and analytics projects, including using AWS technologies - Redshift, S3, EC2, Data-pipeline and other big data technologies
• 1+ yr of experience of BI implementation in the Cloud.
• Exposure in at least one ETL tool.
• Exposure to cloud Datawarehouse will be a plus.
• Exposure in at least one reporting tool like Redash/Tableau/similar will be a plus.
• Familiarity with Linux/Unix scripting
• Expertise with the tools in Hadoop Ecosystem including Pig, Hive, HDFS MapReduce, Sqoop, Storm, Spark, Kafka, Yarn, Oozie, and Zookeeper.
• Solid experience building APIs (REST), Java services, or Docker Microservices
• Experience with data pipelines using Apache Kafka, Storm, Spark, AWS Lambda or similar technologies
• Experience working with terabyte data sets using relational databases (RDBMS) and SQL
• Experience using Agile/Scrum methodologies to iterate quickly on product changes, developing user stories and working through backlogs.
• Experience with Hadoop, MPP DB platform, other NoSQL (Mongo, Cassandra) technologies will be a big plus