Senior Data Consultant

Mivada Pty Ltd

Hyderabad

On-site

INR 2,500,000 - 4,500,000

Full time

14 days+

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Benefits offered by this job

Career development
Parental Leave equality
Mental health days

Job summary

We are seeking a highly skilled Senior Data Consultant (Databricks) to join Mivada’s Data & Analytics team in Hyderabad. This role focuses on building scalable data solutions and driving business value through advanced analytics.

You will design, develop, and optimize data pipelines, collaborating with architects, analysts, and cross-functional teams to deliver robust data models and cloud-based analytics platforms.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • Proven experience as a Senior Data Consultant with hands-on Databricks expertise.
  • Strong understanding of data warehousing, ETL/ELT, and data modeling principles.
  • Experience with Delta Lake and scalable, high-performance data pipelines.
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP).
  • Familiarity with Apache Kafka, Airflow, or similar orchestration frameworks.
  • Knowledge of Git and CI/CD practices, excellent communication and problem-solving skills.

Responsibilities

  • Design, develop, and maintain end-to-end data pipelines using modern data platforms.
  • Build and manage ETL/ELT processes for large-scale data transformation.
  • Develop and maintain scalable data models and schemas for analytics and ML.
  • Collaborate with data scientists, analysts, and IT teams to gather requirements.
  • Optimize performance and scalability of data pipelines while ensuring data quality.
  • Implement data governance, privacy, and security best practices.
  • Leverage cloud platforms (AWS, Azure, or GCP) to deploy data pipelines and infra.
  • Monitor, troubleshoot, and resolve data pipeline issues for reliability.
  • Automate workflows and CI/CD pipelines for seamless deployments.
  • Stay updated with emerging data engineering technologies and practices.

Skills

Databricks
Data modeling
Analytics
Problem-solving
Communication

Education

Bachelor's/Master's in CS/Engineering/Data Science

Tools

Delta Lake
Apache Kafka
Airflow
Git & CI/CD

Job description

We are seeking a highly skilled and innovative Senior Data Consultant (Databricks) to join our dynamic Data & Analytics team. This role is ideal for someone passionate about building scalable data solutions and driving business value through advanced analytics.

As a Senior Data Consultant, you will play a key role in designing, developing, and optimizing data pipelines, collaborating closely with solution architects, analysts, and cross-functional teams to deliver robust data models and cloud-based solutions that support enterprise analytics and machine learning initiatives.

Key Responsibilities
  • Design, develop, and maintain end-to-end data pipelines using modern data platforms and tools.
  • Build and manage ETL/ELT processes for large-scale data transformation in both real-time and batch modes.
  • Develop and maintain scalable data models and schemas to support analytics and ML applications.
  • Collaborate with data scientists, analysts, and IT teams to gather requirements and deliver high-quality data solutions.
  • Optimize performance and scalability of data pipelines, ensuring efficient resource usage and data quality.
  • Implement data governance best practices, ensuring data integrity, privacy, and security.
  • Leverage cloud platforms (AWS, Azure, or GCP) to implement and manage data pipelines and infrastructure.
  • Monitor, troubleshoot, and resolve data pipeline issues to ensure reliability and uptime.
  • Automate workflows and implement CI/CD pipelines for seamless deployment of data applications.
  • Stay current with emerging technologies and best practices in data engineering and cloud platforms.
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • Proven experience as a Senior Data Consultant with hands-on expertise in Databricks.
  • Strong understanding of data warehousing, ETL/ELT, and data modeling principles.
  • Experience with Delta Lake and building scalable, high-performance data pipelines.
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP).
  • Familiarity with tools like Apache Kafka, Airflow, or similar orchestration frameworks.
  • Knowledge of version control (e.g., Git) and CI/CD practices.
  • Excellent analytical, problem-solving, and communication skills.
Benefits
  • Developing you is a key focus - we help you craft your career
  • Pioneers in Parental Leave benefits - we provide equality in our parental leave for all genders and parental types
  • Doona Days - additional two days off for your 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
WHY JOIN US

Everyone who joins our team is treated as a trusted member of the team, not a number. Ultimately your success is our success, so we invest in our People heavily. Here are the top reasons to join us:

WHO WE ARE

At Mivada we believe that when you bring technology and the right people together, there’s no limit to what you can achieve.

Mivada is a high-growth technology consultancy, headquartered in Australia, offering services to both high-growth, mid-sized and global blue chip clients. We run a hybrid model with the majority of our team onshore, as well as an offshore capability in India. We have the ability to support global businesses 24/7 365. Our flexible approach and strong reputation have led to repeat work and growth. Our clients are our advocates.

We believe cultural fit is as important as technical skills. We operate as a team, supporting and learning from each other and we genuinely care about our clients’ success. Our Leaders are accessible, humble, and sometimes pretty funny! We like to enjoy our time at work, which means we encourage each other to shoot for the moon!

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