Innovative Technical Solutions Specialist

6 days ago

Anantapur, Andhra Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Our organization prides itself on helping people and businesses achieve their goals, moving forward in life. This role is all about making a positive impact by improving financial wellbeing through innovative solutions.

Job Title: Data Engineer

Location: Worldwide

Business & Team: Technology Solutions

Impact & contribution:

This position requires building relationships with stakeholders to enhance outcomes, drive engineering standards, identify areas for improvement, and implement effective technical solutions. We strive for better end-to-end engineering processes to deliver superior results across the technology sector.

Roles & Responsibilities:

Key duties include

  • Developing data-centric solutions that meet customer needs.
  • Leading or participating in defining, executing, and communicating ETL strategies and technical solutions.
  • Collaborating with business users and other teams to ensure adherence to client guidelines and industry standards.
  • Participating in agile projects from ideation to implementation.
  • Designing technical solutions and consumption patterns for business requirements.
  • Contributor to delivery planning and ensuring technical deliveries align with engineering direction.

Essential Skills and Qualifications:

  • Hands-on experience in ETL pipeline building with Spark or Scala programming framework and knowledge of developing UNIX Shell Script, Oracle SQL/PL-SQL, Cloudera Hadoop (Apache Spark, Hive) and Autosys JIL.
  • Experience in Big data platforms for ETL development with AWS cloud services.
  • Proficiency in AWS cloud services, including EC2, S3, Lambda, and Cloud Watch.
  • Knowledge of Teradata data warehouses and Enterprise Analytics/BI/DW/ETL technologies such as Teradata Control Framework, Tableau.

Well-regarded Skills and Behaviours:

  • Experience with Oracle SQL database performance tuning and relational model analysis.
  • Experience working within a Data Delivery Life Cycle framework and Agile Methodology.
  • Self-starter and problem-solving skills.

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