Technical Lead Data Engineer (Power Bi , Tableau)

Location: Bengaluru, Delhi, Gurgaon, Kolkata,Chennai,Hyderabad,Pune,Indore,Jaipur and Ahmedabad,None,None

About Us:
Srijan is a global engineering firm that builds transformative digital paths to better futures for Fortune 500 enterprises and nonprofits all over the world. Headquartered in India, Srijan operates in 9 countries, including Singapore, the Philippines, Malaysia, Hong Kong, the USA, UK, Germany, Australia, and Japan. The company has championed open-source technologies over the last two decades, bringing advanced engineering capabilities and agile practices to some of the biggest names across Media, BFSI, FMCG, Aviation, Telecom, Technology, and others.

 Srijan started off with specializing in building PHP-based open-source content management systems (CMS), specifically in Drupal. Now, we build and modernize digital systems, by leveraging cloud, data, API, and platform centric technologies to help enterprises adapt to changing business models and market demands. We create feature-rich platforms for experience, engagement, collaboration, and insight- designed to be high-performing, digitally transformative, scalable, and secure.

 Srijan works largely with enterprises or mid-large-sized global firms and focuses on recurring business from these accounts, thereby bringing much-needed predictability of revenue for high-growth companies. Our teams bring on board a unique mix of technical expertise and business acumen, to understand and deliver exactly what your business needs. Srijan leads in Drupal with 350+ Drupal engineers, 75+ Acquia certified Drupal developers and is amongst the 4th globally. With preferred partnerships with Acquia, advanced consulting partners with AWS, Google Apigee, and services relationship with VMWare, Srijan offers the best technology stack in the market.

Data Engineer works closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from connected data, enabling the organization to advance the data-driven decision-making capabilities. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data / software engineer with experience of creating data products supporting analytic solutions. He/she should be an Agile learner, possess strong problem-solving skills, work as part of a technical, cross functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy.

Requirement : -

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
• Solve complex data problems to deliver insights that helps business to achieve their goals
• Create data products for analytics and data scientist team members to improve their productivity
• Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
• Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
• Partner with tribe members and solutions architects to develop technical architectures for strategic projects and initiatives.
• Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

Skills : -

▪Bachelor’s degree required; Computer Science, MIS, or Engineering preferred

▪5+ years of experience working in data engineering or architecture role

▪Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred)

▪Experience developing and maintaining data warehouses in big data solutions

▪Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)

▪Database development experience using Hadoop or Big Query and experience with a variety of relational, NoSQL, SAP BW and cloud database technologies

▪Worked with BI tools such as Tableau, Power BI, Looker, Shiny

▪Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.

▪Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

What you will get:

1. Competitive Salaries with flexi benefits 
2. Group Mediclaim Insurance and Personal Accidental Policy
3. 30+ Paid Leaves in a year 
4. Learning and Development of quarterly budgets for certification

Srijan Material + Company