Job Location: Bangalore/Bengaluru
Duties and Responsibilities:
- Participate in all stages of agile / scrum software development (scrum ceremonies) to design, develop, test, deploy and support data analytics applications. Apply new ideas and follow data flow patterns that can deliver products to show ease of use, faster and smarter ways.
- Works closely with the Dev Lead TPM of the scrum team to service the needs of the Business teams to deliver solutions. Collaborate well with the DnA team with cross-functional busines users.
- Design Develop data acquisition from source systems to Data Lake platform, ingestion processes including AI value add transformations. Create data storage constructs data load process for mirror, curation, and consumption layers on Data Lake.
- Develop medium to large analytic projects, participate in stakeholder communication, and ensure objectives are met and exceed SLAs.
- Follow the formal ITIL / ITSM processes for Incidents, Change Requests, Deployments and Service Requests, ensure the processes are documented and that IT teams and business users are following for Data process visualization needs.
- Create well designed, testable, efficient code. Identify bottlenecks and bugs, and devise solutions to these problems
- Align data flows, design, architecture with business requirements and prepare data for advanced analytical models
- Actively participates in and often leads peer development and code reviews within each Agile sprint, with focus on Continuous Integration and Continuous Development (CICD).
- Troubleshoot complex production issues beyond the scope of the OPS team and provide root cause analysis and recommendations for permanent solution
- Identify ways to improve data reliability, efficiency, and quality.
Minimum Qualifications Eligibility Requirements:
- Bachelors Degree in Information Systems, Information Technology (IT), Computer Science, or Engineering from an accredited college or university
- Overall, 8 Years of Professional experience in Information Technology with ETL Processing / data architecture / BI / Data integration / Data Ingestion
- Minimum of 5 years of experience in Data Engineering Big data technologies or Data Lake process.
- 5+ years of development experience on Hadoop platform (Hortonworks or AWS EMR), Apache Spark/ Python and understanding of big data technologies hosted on AWS (Familiarity with S3 / Glue / EMR / RedShift / RDS / Kinesis / Elastic search is plus)
- Good understanding and experience of working in AWS/cloud platform, HDFS, HiveQL, Spark, Python, R.
- Data Ingestion expertise using (any of Sqoop, Nifi, Kinesis etc) and Data Lake hosting on AWS., understands data on Oracle, MSSQL DBs, non-relational source systems.
- Exposure to Data science, R or Python models or NLP, Chatbot technologies desirable
- Flexible and Quick learner
- Critical thinking, decision making, troubleshooting and problem-solving skills
- Uses teamwork skills to achieve goals, solve problems, and manage conflict
- Ability to support multiple initiatives simultaneously and work in a fast-paced environment
- Excellent verbal written communication skills, including communicating technical issues to non-technical audiences
Knowledge, Skills and Abilities:
- Creative, willing to understand, asking questions
- Ability to acquire any specialized domain knowledge required to be more effective in all required activities
- Ability to operate in a fast-paced environment with a sense of urgency, ownership, and accountability
- Adaptable/Flexible: being open to change in response to new information, different or unexpected circumstances, and having the ability to navigate ambiguous situations
- Ability to break down problems and estimate time for development tasks
- Ability to make basic technology choices based on experience
- Effectiveness and Efficiency, and Accountability
- Highly self-motivated with the ability to work independently, passionate about business attention to details
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