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Data Engineer - Pune - Patona - 3 to 8 years
Location:
IN-Pune
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Job Description

Patona works with top enterprises and digital native businesses in Australia helping them build their remote teams in Philippines, India and Sri Lanka. Working with well known market leading brands we pride ourselves with hiring great teams to work on exciting game changing technology. Patona currently has 160+ engineers, testers, product managers etc working across 20+ partners. We focus on uplifting the way organisations build and manage their remote teams through great working relationships, trust, integrity, culture and hiring processes. Additional to this we are building our own technology product offerings. Patona is Japanese for Partner (although we are not from Japan) we believe in partnerships with our clients and our people where everyone wins. This is the only way true partnerships thrive.

We are a rapidly growing, innovative and enthusiastic organisation, we believe in surrounding ourselves with great people. We strive to deliver the best outcomes for our customers, our partners and our people. We have multiple roles open working as part of a remote team for our partners in Australia. If this role does not quite match please reach out if you are interested in joining us as we currently have over 50 open opportunities.


Key Responsibilities:

  1. Data Collection and Interpretation: Gather and interpret data from various sources to identify relevant information and insights.
  2. Pattern and Trend Identification: Analyze data sets to identify patterns and trends, enabling informed decision-making and forecasting.
  3. Insight Derivation: Derive actionable insights and forecasts from data analysis, supporting business objectives and strategies.
  4. Data Quality Assessment: Assess data quality and implement remediation measures to ensure accuracy and reliability.
  5. Data Mapping: Map data from different sources to facilitate integration and compatibility.
  6. Report Creation and Data Visualization: Create comprehensive reports and visualize data using reporting tools to effectively communicate findings and insights.
  7. Data Pipeline Management: Build and maintain data pipelines to streamline the flow of information and automate processes.
  8. Process Enhancement: Identify opportunities for process enhancements and contribute to their implementation to improve efficiency and effectiveness.

Relationships:

Internal Relationships:

  • Tech Team
  • Data Team
  • Lead Data Engineer
  • CX Team
  • Customer Success Team

Position Specification:

Required:

  • Proficiency in analyzing large data sets and writing comprehensive reports.
  • Excellent analytical skills with the ability to identify trends, patterns, and insights from data.
  • Strong attention to detail and methodical mindset.
  • Strong problem-solving skills.
  • Intermediate understanding of databases and data models.
  • Hands-on experience with SQL database design.
  • Experience designing, developing, and publishing data ETL pipelines.
  • Exposure to Azure Data Factory (ADF) and Azure Storage.
  • Team skills and collaboration.

Desirable:

  • Understanding of reporting and data visualization tools such as Power BI.
  • Excellent communication skills.
  • Education in Mathematics, Computer Science, or Statistics.
  • Knowledge of programming languages such as Python or C#.

Benefits

  • Flexibility in work hours, with a focus on managing energy rather than time.
  • Access to online learning platforms and a budget for professional development.
  • A collaborative, no-silos environment, encouraging learning and growth across teams.
  • A dynamic social culture with team lunches, social events, and opportunities for creative input.
  • Private Health insurance

If you possess these skills and are passionate about leveraging data to drive insights and business outcomes, we encourage you to apply for the role of Data Analyst. Join us in our mission to unlock the power of data for informed decision-making and business success. Apply now

Job Classification

Industry: IT Services & Consulting
Functional Area: IT Services & Consulting
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time

Contact Details:

Company: Patona
Location(s): Pune

Patona

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