Job Location: Bangalore/Bengaluru
Roles and Responsibilities
Should have experience of working in product development organizations with a proven experience of developing enterprise-scale products in a highly agile/scrum environment.
• Should be currently heading a development/engineering vertical or one level below the head of the function or should be at least owning the delivery of two products/modules( 20+ developers, including architecture, design, code reviews & peoples career management; with good exposure to engineering processes, product delivery, playbooks, frameworks etc.)
- Understands the domain of the data particularly in Banking and Financial Services data analysis, data modeling and systems Integrations and conversions.
- Design Data-Analytics, Data Onboarding and Data Ingestion solutions using various Big Data technologies
- Design and lead building Data Fabric, Data Lake and Data Virtualization needs of Customer.
- Lead teams and coordinate with business groups on solutions that add business value
- Do advanced Business Analytics through various BI tools.
- Good understanding of the Various Data Privacy and Data Security aspects.
- Experience in Multi-could Big Data Deployment solutions.
- Experience in developing Data API and various Data Consumption patterns.
- Responsibilities includes developing strategies and operational plans to exceed or meet organizational goals around customer support and service functions globally.
- Responsible to execute the vision, driving team execution, and overseeing the engineering process with strong leadership capabilities, as well as the ability to roll-up-your-sleeves to ensure alignment across technology, product, and business stakeholders
- Drive strong partnerships between engineering teams and Product owners, including business stakeholders
Experience & Competencies:
- 10+ years of Software Development particularly in Data warehousing
- Strong knowledge of Azure cloud and Azure data engineering components and services such as Azure Data Factory, Azure Data Lake Storage, Synapse Analytics and Azure Data Bricks.
- Experience in implementing BI solutions using Power BI and Azure Analysis Services.
- Strong design & coding background in Data engineering / BI. Technically hands-on.
- Strong SQL skills, and experience in Data Warehouse / Data mart / BI implementation.
- Database development experience with Relational and distributed systems such as Snowflake, Teradata, Oracle or Single Store.
- Programming experience in building high-quality applications, data pipelines using Scala and Spark framework and analytics solutions ensuring data privacy and regulatory compliance.
- Experience in designing and building dimensional data models to improve accessibility, efficiency, and quality of data.
- Expert addressing Non-functional requirements such as performance tuning handling large data volumes, reliability, and security.
- Possess working experience in building Data Analytics platforms, Exposure to Data Fabric and Data Lake implementation
- Well Versed with Data Virtualization technologies ex: Denodo).
- Experience in leading, hiring, developing and building data engineering team and providing them technical direction.
- Expertise with Self Service technologies like Tableau (Data Reporting and Visualizing) and custom web development like HTML5, React , Angular etc
- Experience working with any cloud technologies: Amazon AWS, Snowflake, Microsoft Azure or Google GCP
- Demonstrate strong understanding of development processes and agile methodologies
- Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quickly
- Experience managing annual performance reviews, setting SMART goals for team members, and investing in team members’ career development.
- Familiarity with ML/A technologies and methods like NLP, NLG, Automated Insights is a plus
- Strong business understanding of Sales including consumer and enterprise markets with knowledge in the Operations and Finance area is a plus.
Mandatory Technical Skills Required
- Strong knowledge of Azure cloud and Azure data engineering components and services such as Azure Data Factory, Azure Data Lake Storage, Synapse Analytics and Azure Data Bricks.
- Experience in implementing BI solutions using Power BI and Azure Analysis Services.
- Strong design & coding background in Data engineering / BI. Technically hands-on.
- Strong SQL skills, and experience in Data Warehouse / Data mart / BI implementation.
– If Interested kindly share the below details to kumar.venkatappa@ness.com
– Current CTC
– Expected CTC
– Notice period
– Preferred Location
Desired Candidate Profile
Perks and Benefits
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