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Lead Data Engineer
Turing
posted 7hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Lead multiple projects and efforts to orchestrate and deliver cohesive data engineering solutions in collaboration with various functional teams
- Take ownership of the entire data services life cycle, from data ingestion to data processing and ETL to data delivery for reporting
- Collaborate with other technical teams to deliver data solutions that meet both business and technical needs
- Define technical requirements and implementation details for the underlying data lake, data warehouse, and data marts
- Identify, troubleshoot, and resolve issues with production data integrity and performance
- As the lead, collaborate with all aspects of data management to ensure that patterns, decisions, and tooling are implemented in accordance with enterprise standards
- Conduct data source gap analysis and develop data source/target catalogs and mappings
- Develop a thorough understanding of cross-system integration, interactions, and relationships in order to create an enterprise view of future data requirements
- Design, coordinate, and carry out pilots / prototypes / proofs-of-concept to validate specific scenarios and provide an implementation roadmap
- Recommend/ensure technical functionality for Data Engineering (e.g., scalability, security, performance, data recovery, reliability, and so on)
- Organize workshops to define requirements and design data solutions
- Decisions about enterprise and solution architecture should be applied to data architecture frameworks and data models
- Keep track of all data architecture artifacts and procedures in a repository
- Collaborate with IT teams, software providers, and business owners to forecast and design data architecture
Job Requirements:
- Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
- At least 3-5+ years of relevant experience as a software engineer
- Knowledge of data architectures, data pipelines, real-time processing, streaming, networking, and security is required
- Programming experience in Python, Scala, or Java is required
- RDBMS and Data Warehousing (Strong SQL) experience with Redshift, Snowflake, or similar
- Expertise in logical/physical data architecture, design, and development experience implementing a data lake / big data analytics platform, either cloud-based or on-premise- AWS preferred
- Extensive knowledge of development tools for CI/CD, unit and integration testing, automation, and orchestration, such as GitHub, Jenkins, Concourse, Airflow, and Terraform
- Experience writing Kafka producers and consumers, or knowledge of AWS Kinesis
- Hands-on experience building a distributed data processing platform using Big Data technologies such as Hadoop, Spark, and others
- Have a talent for independence (hands-on) as well as teamwork
- Excellent analytical and problem-solving skills, particularly in the face of ill-defined issues or conflicting information
- Experience with streaming data ingestion, machine learning, and Apache Spark would be advantageous
- Capable of eliciting, gathering, and managing requirements in an Agile delivery environment
- Excellent communication and presentation skills (verbal, written, and presentation) at all organizational levels
- Capability to convert ambiguous concepts into concrete ideas
Employment Type: Full Time, Permanent
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based on 125 employees
Flexible timing
Monday to Friday
No travel
Night Shift
Turing Benefits
Work From Home 
Team Outings 
Soft Skill Training 
Job Training 
Education Assistance 
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