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Software Engineer Database (2130)

Software Engineer Database (2130)

Affinity Global IncMumbai, India
30+ days ago
Job description
  • Build Data applications with high accuracy and performance across traditional and distributed computing platforms.
  • Design, build, and maintain high performance, reusable, and reliable code quality and features being delivered efficiently and on-time. Document everything.
  • Develop database processes, gather, and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries in MySQL, handle data cloud etc.).
  • Administer data processing workflows associated with tools like MySQL, Oozie, Zookeeper, Sqoop, Hive, Impala for data processing across the distributed platform.
  • Work closely with our engineering team to integrate your amazing innovations and algorithms into our production systems.
  • Support business decisions with ad hoc analysis as needed and troubleshoot production issues and identify practical solutions.
  • Routine check-up, back-up and monitoring of the entire MySQL and Hadoop ecosystem.
  • Take end-to-end responsibility of the Traditional Databases (MySQL), Big Data ETL, Analysis and processing life cycle in the organization and manage deployments of bigdata clusters across private and public cloud platforms.
  • Required Skills :

    • 4+ years of experience with SQL (MySQL) a must.
    • 2+ years of Hands-on experience working with Cloudera Hadoop Distribution platform and Apache Spark.
    • Strong understanding of full dev life cycle, for backend database applications across RDBMS and distributed cloud platforms.
    • Experience as a Database developer writing SQL queries, DDL / DML statements, managing databases, writing stored procedures, triggers and functions and knowledge of DB internals.
    • Knowledge of database administration, performance tuning, replication, backup, and data restoration.
    • Comprehensive knowledge of Hadoop Architecture and HDFS, to design, develop, document and architect Hadoop applications. Working knowledge of SQL, NoSQL, data warehousing & DBA along with Map-Reduce, Hive, Impala, Kafka, HBase, Pig, and Java.
    • Experience processing large amounts of structured and unstructured data, extracting, and transforming data from remote data stores, such as relational databases or distributed file systems.
    • Working expertise with Apache Spark, Spark streaming, Jupyter Notebook, Python or Scala programming.
    • Excellent communication skills, ability to tailor technical information for different audiences. Excellent teamwork skills, ability to self-start, share insights, ask questions, and report progress.
    • Working knowledge of the general database architectures, trends, and emerging technologies. Familiarity with caching, partitioning, storage engines, query performance tuning, indexes, and distributed computing frameworks.
    • Working knowledge & understanding of data analytics or BI tools - like looker studio, Power BI, or any other BI tools is a must.
    • Additional Desired Skills :

    • Added advantage if you have exposure to advance technology components like – caching techniques, load balancers, distributed logging, distributed queries, queueing engines, containerization, html / CSS optimization, mobile app & web server optimization, cloud services.
    • Strong attention to detail on every line of code, every unit test, and every commit message. Comfortable with rapid development cycles and tight schedules.
    • Experience with Linux, GitHub, Jira is a plus. Good experience with benchmarking, optimization, and CI / CD pipeline.
    • Experience with web paradigms such as REST, Responsive Web Design, Test-driven Development (TDD), Dependency Injection, unit testing frameworks such JUnit, etc.
    • Bachelor’s degree or higher in Computer Science with relevant skills in mobile application development and web.
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