Technical Specialist – Data Engineer

Data Engineer
Mumbai
May 30, 2024
Full Time
Application deadline closed.

Job Description

Technical Specialist – Data Engineer is Hiring for Noventiq

Opportunity Overview:

Noventiq, a leading global provider in digital transformation and cybersecurity, is seeking talented individuals to join our team. Based in London, our company drives digital evolution for over 80,000 organizations worldwide, offering premier IT solutions alongside our own services. With a remarkable revenue surge of $1.6 billion in the last fiscal year, our growth is fueled by a strategic expansion across markets, portfolios, and sales channels, bolstered by proactive M&A endeavors. With a workforce of 6,400 spanning 60 countries across Asia, Latin America, Europe, the Middle East, and Africa, we operate in regions ripe with potential.

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Key Highlights:

  • Positioned as one of India’s largest SI’s, boasting revenues nearing $700 million and a trajectory aiming for $900 million.
  • In India, we harbor a workforce of over 3,500 dedicated professionals across 28 offices spread across North, South, West, and East regions.
  • With a network of 1,000+ Resident Engineers and 2,500+ technical resources, we fortify our technological prowess.
  • We boast strategic alliances with top-tier Cloud Solution Providers, Infrastructure companies, and Cybersecurity firms.
  • Our esteemed clientele includes leading banks, IT corporations, BPOs, and pharmaceutical giants.
  • As the premier partner to Microsoft, we contribute significantly to their India revenues, showcasing a formidable partnership.

Role Responsibilities:

Data Pipeline Development:

  • Designing, constructing, and maintaining robust data pipelines using Azure Data Factory and Azure Databricks.
  • Crafting and implementing ETL frameworks to streamline data extraction, transformation, and loading processes.
  • Ensuring data integrity and quality throughout the data pipeline lifecycle.

Data Modeling and Warehousing:

  • Developing and optimizing data models to enhance data accessibility and inform organizational decision-making.
  • Establishing and managing data warehouses and lakes with tools like Azure SQL Database and Azure Synapse Analytics.
  • Collaborating with stakeholders to translate data requirements into technical solutions.

Data Integration:

  • Unifying disparate data sources into a cohesive system to ensure data consistency and availability.
  • Leveraging APIs, SQL, and other delivery systems for efficient data collection and distribution.
  • Implementing best practices for data integration and quality assurance.

Performance Tuning:

  • Monitoring and optimizing data pipelines and databases to identify and resolve performance bottlenecks.
  • Continuously refining existing data infrastructure to enhance efficiency, scalability, and reliability.
  • Staying abreast of the latest Azure technologies to optimize data pipeline performance.

Collaboration and Support:

  • Engaging closely with data scientists, analysts, and team members to understand and address data requirements.
  • Facilitating the deployment of machine learning models and analytics tools within data pipelines.
  • Providing ongoing support and maintenance for the data platform, promptly addressing any issues.

Candidate Profile:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • Proven experience as a Data Engineer or similar role.
  • Strong proficiency in Azure data services (e.g., Azure Data Factory, Azure Databricks, Azure SQL Database).
  • Proficiency in 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.
  • Strong problem-solving skills and attention to detail.
  • Azure certifications (e.g., Azure Data Engineer Associate) and familiarity with data visualization tools like Power BI are advantageous.
  • Knowledge of machine learning and analytics is a plus.

Benefits:

  • Comprehensive insurance coverage, rewards and recognition programs, wellness initiatives, and CSR engagements.
  • Maternity and paternity leaves, sponsored certification programs, and continuous learning opportunities.
  • Savings, investments, and retirement benefits, along with flexible work arrangements including work from home and hybrid options.
  • Engaging company events and activities to foster a vibrant work culture.

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