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Mu Sigma is hiring for - Mu Sigma - Hadoop Developer - Big Data/MapReduce/Hive (2-6 yrs)

Hello Mohamed,

Here's an interesting job that we think might be relevant for you -

Click here to apply

Job Description - Hadoop Developer

1. Advanced working SQL knowledge and experience working with relational databases, query authoring

2. Experience building and optimizing big data data pipelines, architectures and data sets.

3. Strong analytic skills related to working with unstructured datasets.

4. Build processes supporting data transformation, data structures, metadata, dependency and workload management.

5. A successful history of manipulating, processing and extracting value from large disconnected datasets.

6. Working knowledge of message queuing, stream processing, and highly scalable - big data- data stores.

7. Experience with big data tools: Hadoop, Spark, Kafka, etc.

8. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

- Handled importing of data from various data sources, performed transformations using Hive, MapReduce, loaded data into HDFS and Extracted the data from MySQL into HDFS using Sqoop.

- Involved in creating Hadoop Map-reduce programs to process the data in a distributed way.

- Developed Sqoop scripts to import all database objects and data from existing MySQL databases.

- Analyzed the data by performing Hive queries (HiveQL) and running Pig scripts (Pig Latin) for data ingestion and egress.

- Good experience in Hive partitioning, bucketing and perform different types of joins on Hive tables and implementing Hive Serde like JSON and ORC.

- Expertise in working with Hive data warehouse ecosystem-creating tables, DML operations and writing and HiveQL operations for desired requirements.

- Monitoring the production environment and solving the abend jobs.

- Performed unit testing using MRUnit and prepared Unit Test Cases and Test results.

- Created Technical Specification for new/CRQ applications.

- Created the mapping document for new applications and for CRQ's (Change Request)

- Updated deployment template/guide for code promotion to QA.

- Handling data rejection during data load. Capturing the Exception and Rejection records.

9. Experience with stream-processing systems: Storm, Spark-Streaming, etc.

10. Experience with object-oriented/object function scripting languages: Python, Scala, etc.

Click here to apply

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Sr. Python Engineer at BlueVine (Redwood City, CA)

We are looking for great Senior Python Engineers to work on the development of backend components and integrations for our new line of products. You will work with a talented team of stakeholders and other engineers to design and build our new, strategically important products for BlueVine.


    • Work closely with, and incorporate feedback from, product managers and other stakeholders in the company

    • Architect and build scalable and robust components and integrations

    • Design and build systems with automated testing, instrumentation, and monitoring

    • Develop projects through their entire lifecycle

    • Be part of a fast-paced and flexible team

    • Provide leadership and mentorship to other junior engineers


      • Experience building REST APIs for web and/or mobile consumer-facing applications

      • Experience of Python (4+ years) and Django (2+ years)

      • Experience with AWS, cloud deployments, DevOps and web security

      • Proficiency with database systems (e.g., MySQL PostgreSQL)

      • Experience with source control management systems, preferably Git

Nice To Haves

    • Experience with RESTful APIs

    • Knowledge of front-end JavaScript frameworks (e.g., Angular, React, or Vue)


    • Receive over $1,000 annually for a wellness benefit of your choice

    • Free commuter benefits - CalTrain passes for SF employees and a monthly parking allowance for SF/NJ employees

    • Weekly catered lunches

    • Unlimited snacks in fully stocked kitchens

    • Generous PTO and holidays

    • Excellent health coverage and life insurance benefits

    • Generous, paid parental leave which covers up to 15 weeks

    • Pet-friendly HQ

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