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• No of position :- ( 1 )

• Post :- 11th Oct 2023

 Excellent architectural experience of more than 3+ years with Databricks with cloud platform like AWS or Azure.
• Excellent understanding of Databricks security, clusters, user management, deployment and performance tuning.
• Working proficiency in using Python/Scala, Spark (tuning jobs), SQL, Hadoop platforms to build Big Data products & platforms.
• Experience in working with CI/CD of Databricks Solutions.
• Experience in working with SQL database like Postgres, MS SQL Server, Oracle, Snowflake etc
• Preferably with hands-on experience with Hadoop big data tools (Hive, Impala, Spark)
• Good troubleshooting and debugging skills.
• Proficient in standard software development, such as version control, testing, and deployment
• Demonstrated basic knowledge of statistical analytical techniques, coding, and data engineering
• Ability to quickly learn and implement new technologies
• Ability to Solve complex problems with multi-layered data sets
• Ability to innovate and determine new approaches & technologies to solve business problems and generate business insights & recommendations.
• Ability to multi-task and strong attention to detail
• Flexibility to work as a member of a matrix based diverse and geographically distributed project teams
• Good communication skills - both verbal and written - and strong relationship, collaboration skills, and organizational skills

Nice to have

• Experience with performance Tuning of Database Schemas, Databases, SQL, ETL Jobs, and related scripts
• Experience participating in complex engineering projects in an Agile setting e.g. Scrum

Responsibilities

Hands-on developer who writes good quality, secure code that is modular, functional, and testable.
• Drive the evolution of Data & Services products/platforms with an impact-focused on data science and engineering.
• Design and implement scalable data architecture and data pipelines
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Provide support for deployed data applications and analytical models by being a trusted advisor to Data Scientists and other data consumers by identifying data problems and guiding issue resolution with partner Data Engineers and source data providers.
• Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
• Discover, ingest, and incorporate new sources of real-time, streaming, batch, and API-based data into our platform to enhance the insights we get from running tests and expand the ways and properties on which we can test Experiment with new tools to streamline the development, testing, deployment, and running of our data pipelines.
• Participate in the development of data and analytic infrastructure for product development
Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations
• Partner with roles across the organization including consultants, engineering, and sales to determine the highest priority problems to solve
• Evaluate trade-offs between many possible analytics solutions to a problem, taking into account usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision
Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients, and other stakeholders.
• Evangelize releases to users, incorporating feedback, and tracking usage to inform future development
Work with small, cross-functional teams to define the vision, establish team culture and processes
Consistently focus on key drivers of organization value and prioritize operational activities accordingly
• Escalate technical errors or bugs detected in project work
• Maintain awareness of relevant technical and product trends through self-learning/study, training classes, and job shadowing.
• Support the building of scaled machine learning production systems by designing pipelines and engineering infrastructure.