Senior Developer (Big Data)
Bangalore, Karnataka, India
22h ago
Job Description

This position is responsible for hands-on design & implementation expertise in Spark and Python (PySpark) along with other Hadoop ecosystems like HDFS, Hive, Hue, Impala, Zeppelin etc. The purpose of position includes -

  • Analysis, design and implementation of business requirements using SPARK & Python.
  • Cloudera Hadoop development around Big Data.
  • Solid SQL experience.
  • Development experience with PySpark & SparkSql with good analytical & debugging skills.
  • Development work for building new solutions around Hadoop and automation of operational tasks.
  • Assisting team and troubleshooting issues.
  • Design and development around Apache SPARK, Python and Hadoop Framework.
  • Extensive usage and experience with RDD and Data Frames with in Spark.
  • Extensive experience with data analytics, and working knowledge of big data infrastructure such as various Hadoop Ecosystems like HDFS, Hive, Spark etc.
  • Should be working with gigabytes/terabytes of data and must understand the challenges of transforming and enriching such large datasets.
  • Provide effective solutions to address the business problems – strategic and tactical.
  • Collaboration with team members, project managers, business analysts and business users in conceptualizing, estimating and developing new solutions and enhancements.
  • Work closely with the stake holders to define and refine the big data platform to achieve company product and business objectives.
  • Collaborate with other technology teams and architects to define and develop cross- function technology stack interactions.


  • Read, extract, transform, stage and load data to multiple targets, including Hadoop and Oracle.
  • Develop automation scripts around Hadoop framework to automate processes and existing flows around.
  • Should be able to modify existing programming/codes for new requirements.
  • Unit testing and debugging. Perform root cause analysis (RCA) for any failed processes.
  • Document existing processes as well as analyze for potential automation and performance improvements.
  • Convert business requirements into technical design specifications and execute on them.
  • Execute new development as per design specifications and business rules/requirements.
  • Participate in code reviews and keep applications/code base in sync with version control.
  • Effective communicator, self-motivated and able to work independently but fully aligned within a team environment.


Bachelor’s in computer science (or equivalent) or master’s with 5+ years of experience with big data against ingestion, transformation and staging using following technologies/principles/methodologies:

  • Design and solution capabilities.
  • Rich experience with Hadoop distributed frameworks, handling large amount of big data using Apache Spark and Hadoop Ecosystems.
  • Python & Spark (SparkSQL, PySpark), HDFS, Hive, Impala, Hue, Cloudera Hadoop, Zeppelin.
  • Proficient knowledge of SQL with any RDBMS.
  • Knowledge of Oracle databases and PL/SQL.
  • Working knowledge and good experience in Unix environment and capable of Unix Shell scripts (ksh, bash).
  • Basic Hadoop administration knowledge.
  • DevOps Knowledge is an added advantage.
  • Ability to work within deadlines and effectively prioritize and execute on tasks.
  • Strong communication skills (verbal and written) with ability to communicate across teams, internal and external at all levels.

Preferred Skills:


  • Working knowledge of Oracle databases and PL/SQL.
  • Hadoop Admin & Dev-Ops.


  • Good analytical thinking and problem-solving skills.
  • Ability to diagnose and troubleshoot problems quickly.
  • Motivated to learn new technologies, applications and domain.
  • Possess appetite for learning through exploration and reverse engineering.
  • Strong time management skills.
  • Ability to take full ownership of tasks and projects.

Behavioral Attributes

  • Team player with excellent interpersonal skills.
  • Good verbal and written communication.
  • Possess Can-Do attitude to overcome any kind of challenges. 

 Anyone of these: 
       1. CCA Spark and Hadoop Developer.
       2. MapR Certified Spark Developer (MCSD).
       3. MapR Certified Hadoop Developer (MCHD).
       4. HDP Certified Apache Spark Developer.
       5. HDP Certified Developer.

Additional Information

Report this job

Thank you for reporting this job!

Your feedback will help us improve the quality of our services.

My Email
By clicking on "Continue", I give neuvoo consent to process my data and to send me email alerts, as detailed in neuvoo's Privacy Policy . I may withdraw my consent or unsubscribe at any time.
Application form