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23 OSB India Jobs

Azure Data Engineer - Technical Lead

8-10 years

Bangalore / Bengaluru

1 vacancy

Azure Data Engineer - Technical Lead

OSB India

posted 13hr ago

Job Description


About us:

OsbIndia (OSBI) is an offshore subsidiary of OSB Group. OSBI was incorporated in 2004 as a key part of the OSB Group s business strategy to provide operational service support. OSBI works with the Group s trading brands in the UK, providing exceptional customer support and service delivery to new and existing customers.

OSBI also prides itself on offering operational excellence by devising and utilizing process improvements and functional efficiencies.
  • Job Purpose
The Azure Data Engineering-Technical lead will be responsible for translating business requirements into design and implementing Azure Cloud-based big data solutions for the data modernisation program. He will be focused on delivering high-quality solutions related to Data Ingestion, Transformation & Consumption, Data Storage and Computation Frameworks, Performance Optimizations in Azure cloud platform.
They will also work closely with other members of the data Engineering team and product owners ensuring Data strategy and platforms fulfil current needs and are aligned with the overall vision of the organisation. They will be responsible for delivery of enterprise scale data transformation/modernisation programmes.
The ideal candidate will be a seasoned data technologist and have a blend of experience across delivery and the practical application of contemporary data technologies. Experience in working within the Banking Industry (in banking, vendors or a large tech firm) is highly desirable.
  • Core Responsibilities
  • Analyse current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services
  • Design and deliver high quality big data technologies-based solutions on Azure Cloud leveraging Azure Databricks and other services for advanced data processing, analytics tasks, optimizing performance and scalability.
  • Provide technical insight on the following: design, code reviews, development, quality assurance.
  • Mentoring and guiding junior data engineers in Azure-specific technologies, fostering a culture of continuous learning.
  • Engage and collaborate with business users to understand business requirements/use cases and translate them into detailed technical specifications.
  • Develop best practices including reusable code, libraries, patterns, and consumable frameworks for Azure cloud-based data warehousing and data pipelines.
  • Work closely with the program management office (PMO) to ensure the execution of plans corresponds with what is being promised.
  • Work alongside the Risk function in developing and maintaining a risk management agenda, acting both to ensure the necessary levels of transparency for potential risks and promoting a positive culture of awareness and accountability throughout the function.
  • Collaborating with solution architects to establish and promote data engineering best practices and standards within the Azure ecosystem.
  • Data processing efficiency improvement, migrations from on-prem to public cloud platforms.
  • Experience Requirements
  • Overall 8-10 years of IT experience preferably in Data and Analytics implementation.
  • 4-5 years of Data engineering (Both On-prem and Azure) delivery experience including Architecture / analysis / development / configuration/ deployment.
  • 4 years of implementation experience in Azure Data engineering projects
  • Mandatory to have knowledge of Big Data Architecture Patterns and experience in the delivery of end-to-end Big Data solutions on Azure Cloud.
  • Expert in Python/SQL/SparkSQL/PySpark
  • Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, Datra bricks, perview and Azure App Service is required.
  • Extensive hands-on experience implementing data migration and data processing using Azure services: Serverless Architecture, Azure Storage, Azure SQL DB/DW, Data Factory, Azure Stream Analytics, Azure Analysis Service, Databricks Azure Data Catalog, Cosmos Db, Azure Functions, ARM Templates, Azure DevOps, CI/CD etc.
  • Expert in at least one distributed data processing framework: Spark (Core, Streaming, SQL), Storm or Flink, etc.
  • Expert in distributed messaging and ingestion frameworks (Kafka, Pulsar, Pub/Sub, etc) and good to know traditional ETL tools like Informatica, SSIS, etc
  • Should have worked on any NoSQL solutions like Mongo DB, Cassandra, HBase, Cosmos DB etc, or Cloud-based NoSQL offerings like DynamoDB, Big Table, etc.
  • Good Exposure in development with CI / CD pipelines. Knowledge of containerization, orchestration, and Kubernetes engine would be an added advantage.
  • Designing and building of data pipelines using API ingestion and Streaming ingestion methods.
  • Knowledge in Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics, Power BI is desirable.
  • Strong problem solving and troubleshooting skills.
  • Experience in working in a fast-paced agile environment.
  • Strong experience in common data warehouse modelling principles including Kimball, Inmon.
  • Experience with data visualization tools such as Power BI.
  • Experience in Streaming and batch architecture (e.g., Kafka, Kafka streams, Spark, Flink)
  • Knowledge Requirements
  • Excellent understanding of data technologies landscape/ecosystem (Both On-prem and Cloud)
  • Detailed knowledge of Software development essential.
  • Detailed knowledge of SQL (Structured Query Language) programming is essential.
  • Proven experience in business and technical problem-solving skills is essential.
  • Proven ability to build, manage and foster a team-oriented environment
    - Proven ability to work creatively and analytically in a problem-solving environment
    - Excellent communication (written and oral) and interpersonal skills

    - Excellent organizational, multi-tasking, and time-management skills
  • Skill and Competency Requirements
  • Advanced analytical skills are essential.
  • Advanced communication skills are essential.
  • Advanced skill in critical thinking is essential.
  • Advanced Problem-Solving skill is essential.
  • Moderate skills of Data Modelling are desirable.
  • Required Qualifications/Certifications
  • Bachelor s or master s degree in computer science, information systems, or related field, and / or equivalent work experience is essential.
  • Advanced Azure Certifications (Related to Design, Architecture)
  • Professional IT accreditation or qualification is desirable.
Why join OSBI?
We understand your career and how you progress is as unique as your individual personality. Weve created a culture and an environment that encourages personal growth and offers our people opportunities to learn and succeed. Whether youre in the early stages of your career or already have an established profession, were constantly seeking to hire talented individuals who want to make a difference and grow with us. Were a connected company working together to create a business in which we can all take pride and prosper.
If you want to know more about OSBI, please click on the website link:

To know more about OSBI culture please find us on Instagram @OSBINDIA

To find out more about the roles & updates please follow our LinkedIn Page www.linkedin.com/company/osbi.

Employment Type: Full Time, Permanent

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Azure Data Engineer salary at OSB India

reported by 1 employee with 18 years exp.
₹28.8 L/yr - ₹36.8 L/yr
276% more than the average Azure Data Engineer Salary in India
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What OSB India employees are saying about work life

based on 179 employees
61%
95%
47%
84%
Strict timing
Monday to Friday
No travel
Day Shift
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OSB India Benefits

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Free Transport
Cafeteria
Work From Home
Team Outings
Education Assistance
Soft Skill Training +4 more
Submitted by Employees
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Free Transport
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Job Training
Soft Skill Training
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OSB India Bangalore / Bengaluru Office Location

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Bangalore / Bengaluru, Karnataka Office
Headquarter
Salarpuria Magnificia, No.78, 9th & 10th Floor, Dooravaninagar, Old Madras Road, Bangalore / Bengaluru, Karnataka
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