Posted:1 day ago|
Platform:
Work from Office
Full Time
Job Title: Software Engineer -Data Engineer Position: Software Engineer Experience: 4-6 years (Less YOE will be Rejected) Category: Software Development/ Engineering Shift Timings: 1:00 pm to 10:00 pm Main location: Hyderabad Work Type: Work from office Notice Period: 0-30 Days Skill: Python, Pyspark, Data Bricks Employment Type: Full Time • Bachelor's in Computer Science, Computer Engineering or related field Required qualifications to be successful in this role Must have Skills: • 3+ yrs. Development experience with Spark (PySpark), Python and SQL. • Extensive knowledge building data pipelines • Hands on experience with Databricks Devlopment • Strong experience with • Strong experience developing on Linux OS. • Experience with scheduling and orchestration (e.g. Databricks Workflows,airflow, prefect, control-m). Good to have skills: • Solid understanding of distributed systems, data structures, design principles. • Agile Development Methodologies (e.g. SAFe, Kanban, Scrum). • Comfortable communicating with teams via showcases/demos. • Play key role in establishing and implementing migration patterns for the Data Lake Modernization project. • Actively migrate use cases from our on premises Data Lake to Databricks on GCP. • Collaborate with Product Management and business partners to understand use case requirements and reporting. • Adhere to internal development best practices/lifecycle (e.g. Testing, Code Reviews, CI/CD, Documentation) . • Document and showcase feature designs/workflows. • Participate in team meetings and discussions around product development. • Stay up to date on industry latest industry trends and design patterns. • 3+ years experience with GIT. • 3+ years experience with CI/CD (e.g. Azure Pipelines). • Experience with streaming technologies, such as Kafka, Spark. • Experience building applications on Docker and Kubernetes. • Cloud experience (e.g. Azure, Google). Interested Candidates can drop your Resume on Mail id :- " tarun.k@talent21.in "
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