Senior Data Analyst

4 weeks ago

Jaipur, Rajasthan, India Sanmax Technologies (P) Limited Full time

Job Title: Senior Data Analyst

Job Summary:

This is a Senior Data Analyst position at Sanmax Technologies (P) Limited. The ideal candidate will have a successful history of data analysis, design, implementation, and production deployment in critical, multi-business environments.

Key Responsibilities:

  • Review business requirements with project teams to propose and produce technical documentation.
  • Discover, explore, analyze, and document data from all source and target systems.
  • Participate in the Agile development process to develop automated data pipes.
  • Optimize queries, data aggregations, and data pipes and improve data models in order to optimize and improve data delivery performance.
  • Collaborate with Operations, Platform, and DBAs teams to test and deploy implementations into Production and provide Production support as needed.
  • Collaborate with other data engineers to provide development coverage, support, and knowledge sharing and mentoring of junior team members.

Requirements:

  • 8 years of experience working in a technical environment as an engineer or developer.
  • 5 years of hands-on experience with data architecture, data modeling, database design, and data warehousing.
  • 5 years of hands-on experience with ETL tools like Pentaho, DataStage, Informatica, or Ab Initio.
  • 5 years of hands-on experience with SQL development and query performance optimization.
  • 5 years of hands-on experience with data mining and data analysis.
  • 5 years of hands-on experience with unix shell scripting, Perl, and Python.
  • 5 years of hands-on experience with traditional RDBMS such as Oracle, DB2, MS SQL, and/or PostgresSQL.
  • 2 years of hands-on experience working with Hadoop Hive, Sqoop, HDFS, and Control-M.
  • Experience with Agile (Scrum) methodologies.
  • Excellent critical thinking, verbal, and written communications skills.
  • Strong estimating, planning, and time management skills.
  • Strong understanding of Big Data and open source technologies.
  • Ability and desire to thrive in a proactive, highly engaging, high-pressure, customer service environment.

Qualifications:

  • Bachelor's in Computer Science/Engineering, Statistics, Math, Physics, related quantitative degree or equivalent work experience.
  • Must have a passion for Data, structured or unstructured.

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