Technical Specialist - Data Engineer
Description
Noventiq is hiring!
Noventiq (Noventiq Holdings PLC) is a leading global solutions and services provider in digital transformation and cybersecurity, headquartered in London. The company enables, facilitates, and accelerates digital transformation for its customers’ businesses, connecting 80,000+ organizations across all sectors with a vast selection of best-in-class IT vendors, alongside its own services and solutions.
Noventiq delivered record gross revenue of $1.6 billion for the 12 months to March 31, 2023, an increase of 52% in constant currency. The company’s growth is underpinned by its three-dimensional strategy to expand its markets, portfolio, and sales channels. The strategy is supported by an active approach to M&As which enables Noventiq to take advantage of the ongoing consolidation in the industry. Noventiq's 6,400 employees work in approximately 60 countries throughout Asia, Latin America, Europe, Middle East, and Africa—markets with significant growth potential.
- One of the largest SI’s in India with revenue close to 700M$ and growing to 900M$.
- 3500+ Employees in India for India.
- Total 28 Offices in India across North, South, West & East.
- 1000+ Resident Engineers across India.
- 2500+ technical resources in India for India.
- Technology partnerships with Top 3 Cloud Solution Providers, Top 3 Infrastructure companies, Top 10 Cybersecurity companies.
- Enviable customer base: 4 of Top 5 Banks, 3 of Top 5 IT companies, 3 of Top 5 BPO’s, 3 of Top 5 Pharma companies.
- Largest partner to Microsoft with combined infeed of US$600M about 25% of Microsoft India revenues.
What you'll do:
Data Pipeline Development:
- Design, construct, and maintain efficient, scalable, and reliable data pipelines using Azure Data Factory and Azure Databricks.
- Develop and implement ETL (Extract, Transform, Load) processes and frameworks to automate the extraction, transformation, and loading of data from various sources into the data warehouse.
- Ensure data quality and integrity throughout the data pipeline process.
Data Modeling and Warehousing:
- Develop and optimize data models to improve data accessibility and foster data-driven decision-making across the organization.
- Construct and maintain data warehouses and data lakes, utilizing Azure SQL Database, Azure Synapse Analytics, or Azure Cosmos DB, ensuring optimal data storage and retrieval.
- Collaborate with business stakeholders to understand their data requirements and translate these into technical implementations.
Data Integration:
- Integrate disparate data sources into a unified system, ensuring consistency and availability of data.
- Work with APIs, SQL, and other data delivery systems to collect and distribute data efficiently.
- Implement best practices for data integration, data quality, and data cleansing.
Performance Tuning:
- Monitor data pipelines and databases for performance issues, identify bottlenecks, and implement solutions to optimize data flow and storage.
- Regularly review and refine the existing data infrastructure to improve efficiency, scalability, and reliability.
- Stay updated with the latest Azure features and technologies to continually enhance data pipeline performance.
Collaboration and Support:
- Work closely with data scientists, analysts, and other team members to understand their data requirements and provide the necessary data infrastructure and support.
- Assist in the deployment of machine learning models and analytics tools, ensuring seamless integration with data pipelines.
- Provide ongoing support, troubleshooting, and maintenance of the data platform, resolving any data-related issues promptly.
About You:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer or in a similar role.
- Strong proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure SQL Database, etc.).
- Experience with SQL, Python, and other relevant programming languages.
- Familiarity with big data tools such as Hadoop, Spark, Kafka, etc.
- Understanding of data warehousing and ETL techniques.
- Good problem-solving skills and attention to detail.
- Azure certifications (Azure Data Engineer Associate, etc.).
- Experience with data visualization tools like Power BI.
- Knowledge of machine learning and analytics.
What we offer:
- Insurance – Group Medical Coverage, Group Personal Accident, Group Term Life Insurance
- Rewards and Recognition Program, Employee Referral Program, Wellness Program and CSR Initiatives
- Maternity and Paternity Leaves
- Company Sponsored Certification Program
- Learning/Development Courses, Cross Skill, Mentorship and Leadership Programs
- Quarterly Performance Feedback Sessions
- Savings, Investments and Retirement Benefits
- Flexible Work Hours, Work from Home, Remote Working, Hybrid Working
- Company Onsite / Fun Events
Don’t forget to include your CV and cover letter. We receive a lot of applications, but we try to notice each of our potential candidates.