Senior Data Engineer

Hydramechanica Miba

Pune District

On-site

INR 3,500,000 - 6,500,000

Full time

14 days+

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Job summary

Miba is seeking an experienced Data Platform Engineer to design, build and operate scalable data solutions using Databricks and Azure Data Factory. You will shape data architecture and collaborate with analytics, product and leadership teams to deliver trusted insights.

We value strong technical leadership, a proactive approach to data quality, and the ability to translate business requirements into robust data pipelines. Pune-based on-site role with cross-functional exposure.

Qualifications

  • Diploma/Bachelors in Computer Science, IT, electronics and communications.
  • 8+ years in data platform/cloud/data engineering.
  • Own data integration and data management.
  • Experience with Azure Data Lake, Synapse, Data Factory, SQL Data Warehouse, Blob.
  • Proficient in creating Data Factory pipelines for on-cloud ETL.
  • Experience with SQL stored procedures, views, functions, SAP OData.
  • CI/CD, Git, PowerShell scripting is a plus.
  • Agile software development experience.
  • Excellent verbal and written communication.

Responsibilities

  • Design, build, and maintain data solutions using Databricks and Azure Data Factory.
  • Operate data platforms throughout their lifecycle (Development + Operations).
  • Provide technical leadership regarding implementation and shared product delivery responsibility.
  • Collaborate with analytics, business, product, and executive teams to improve data models and resolve issues.
  • Develop and optimize ETL pipelines and ensure data quality, accuracy, and availability.

Skills

Databricks
Azure Data Factory
ETL design
SQL
Data Modeling
Data quality
Cross-functional collab
Platform lifecycle
Leadership
Communication

Education

Bachelor's in CS/IT

Tools

Azure Data Lake
Azure Synapse
SQL Data Warehouse
Git
CI/CD
PowerShell

Job description

Miba: Where team spirit meets innovative spirit.
Our mission “Technologies for a cleaner planet” is more than just a motto – it is something we live and breathe. With our team spirit and innovative spirit, together with our customers we develop technologies for the more efficient and more sustainable generation, transmission, storage and use of energy. This requires one thing above all: people with the motivation to contribute and the passion to make a difference.
Together we are creating a cleaner future.Together we are brilliant.

  • Proven hands-on experience designing, building, and maintaining data solutions using Databricks and Azure Data Factory.
  • Experience in gathering and translating business requirements into effective technical solutions.
  • Strong background in building and optimizing ETL (Extraction, Transformation, Loading) processes using Azure Databricks and SQL technologies
  • Experience in designing and maintaining data architectures and data models that support business intelligence and analytics
  • Ability to implement processes and systems to monitor and ensure data quality, accuracy, and availability
  • Demonstrated ability to work with analytics, business, product, and executive teams to improve data models and resolve technical issues.
  • Experience delivering and operating data platforms throughout their lifecycle (Development + Operations)
  • Capable of providing technical leadership regarding implementation (“How”) and supporting shared product delivery responsibility
  • Excellent verbal and written communication skills for cross-functional collaboration
Good to have
  • Experience designing and evaluating tools for data lineage, metadata management, and data quality
  • Exposure to DevOps practices in data platform delivery and operations
  • Experience working with business units to develop long-term strategies for data platform architecture
  • Proactive in identifying and implementing improvements to data architecture and processes
  • Familiarity with BI tools and improving data accessibility for data-driven decision making
  • Experience supporting teams and IT/D products in data modelling and analysis
What makes you special
Soft Skills
  • Assuming personal responsibility & demonstrating reliability
  • Own Initiatives and perseverance
  • Customer Orientation
  • Conceptual skills
  • Decision making
  • Ability to Cooperate
  • Excellent written and verbal communication skills
Professional Expertise
  • Diploma/Bachelors or equivalent degree in Computer Science, IT, electronics and commu-nications
  • Minimum 8 years of professional experience in relevant Data Platform field i.e., Cloud, Data Engineering
  • Ability to take ownership for data integration and data management
  • Experience with Azure Data Lake, Azure Synapse, Azure Data Factory, SQL Data Ware-house, Azure Blob, Azure Storage Explorer
  • Proficient in creating Data Factory pipelines for on-cloud ETL processing; copy activity, cus-tom Azure development etc.
  • Experience into SQL stored procedures, Viwes, functions, SAP ODATA etc.
  • Knowledge or experience in row level security, GIT, CI/CD, PowerShell scripting an added advantage.
  • Knowledge in streaming technologies, containerized services and new technologies in the market is an added advantage.
  • Experience with or knowledge of Agile Software Development methodologies.
  • Excellent verbal and written communication skills

At Miba, we believe that diversity generates and drives innovation. That's why we live fairness and equal opportunity and welcome people with diversity in terms of different origin, culture, religion, gender, age, impairment and sexual orientation.

701, 702, SR IRIZ Building, Baner Pashan Link Road
411021 Pune

Miba develops and produces functionally critical components along the entire energy value chain. Our products make an important contribution to the efficient and sustainable generation, transmission, storage and use of energy. Miba powder metal parts, bearings, friction materials, power electronics components, coatings and components for e-mobility are used around the world in applications like vehicles, ships, aircraft, agricultural and construction machinery, wind power turbines or power grids.

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