About Position:
As an Data Engineer, you will work closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling to advance the data-driven decision-making capabilities of our enterprise. 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 creating data products supporting analytic solutions. They are 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.
- Role: Data Engineer
- Location: Mumbai, Bangalore, Hyderabad
- Experience: 4 to 8 Years
- Job Type: Full Time Employment
What You'll Do:
- Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
- Solve complex data problems by delivering insights that help our 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 business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
- Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Expertise You'll Bring:
- Domain Expertise
- Bachelor's degree required; Computer Science, MIS, or Engineering preferred
- 5 years of experience working in data engineering or architecture role, 7+ preferred (3 years with 5 preferred for junior 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 BigQuery and experience with a variety of relational, NoSQL, 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.
- Big Data Development experience using Hive, Impala, Spark and familiarity with Kafka (Preferred)
- Familiarity with the Linux operating system (Preferred)
- Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Benefits:
- Competitive salary and benefits package
- Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
- Opportunity to work with cutting-edge technologies
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
- Annual health check-ups
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
- We support hybrid work and flexible hours to fit diverse lifestyles.
- Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
- If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
Let's unleash your full potential at Persistent - persistent.com/careers
Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.
