Senior Data Consultant

3 weeks ago

Sydney, New South Wales, Australia Mivada Full time
Overview

We are seeking a skilled and innovative Senior Data Consultant to join our dynamic Data team. In this role, you will focus on leveraging Databricks and Snowflake to design, develop, and optimize data pipelines. You will create and maintain data models while collaborating with solution architects and analysts to build scalable data solutions that support advanced analytics. Application/implementation knowledge of cloud technologies such as AWS, GCP, and Azure is required.

Key Responsibilities
  • Design, develop, and maintain end-to-end data pipelines using Databricks, Snowflake, and Apache Spark.
  • Build and manage ETL processes for transforming and processing large datasets in real-time and batch modes.
  • Define and govern data modelling and design standards, tools, and best practices, developing and maintaining data models and schemas to support analytics and machine learning applications.
  • Collaborate with cross-functional teams, including data scientists, business analysts, and IT, to understand data requirements and deliver high-quality solutions.
  • Optimize performance and ensure scalability of Databricks-based solutions, addressing data quality, processing time, and resource usage.
  • Implement data governance best practices, ensuring data integrity, privacy, and security across all data assets.
  • Monitor and troubleshoot pipeline performance, ensuring reliability and quick resolution of data issues.
  • Automate data workflows and implement CI/CD pipelines for smooth deployment of data applications.
  • Stay up-to-date with emerging technologies and best practices related to Databricks, Spark, and cloud data solutions.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • Proven experience as a Data Engineer with Databricks and Apache Spark.
  • Strong programming skills in Python, Scala, or SQL.
  • Hands-on experience working with cloud platforms such as AWS, Azure, or Google Cloud.
  • Solid understanding of data warehousing, ETL, and data modelling principles.
  • Experience with Databricks Delta Lake and building scalable data pipelines.
  • Familiarity with Apache Kafka, Airflow, or other workflow automation tools.
  • Knowledge of version control tools like Git and experience with continuous integration and deployment pipelines.
  • Excellent analytical, data profiling, and problem-solving abilities.
  • Excellent verbal and written communication abilities.
Benefits
  • Developing you is a key focus — we help you craft your career.
  • Pioneers in Parental Leave benefits — we provide equality in parental leave for all genders and parental types.
  • Doona Days — additional two days off for mental health.
  • Fun is an everyday experience — we challenge you in a positive way so you enjoy your growth journey.
  • Competitive compensation & pay for performance.
  • Opportunities to be more for yourself and others.
About Mivada

Mivada is a high-growth technology consultancy, headquartered in Australia, offering services to high-growth, mid-sized, and global blue-chip clients. We operate a hybrid model with both onshore and offshore capabilities, enabling us to support global businesses 24/7. Our culture emphasizes collaboration, client success, and continuous learning. Our clients are our advocates, and cultural fit is as important as technical skills.

Position details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Consulting
  • Industries: Business Consulting and Services

Location: Sydney, New South Wales, Australia

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