About Deloitte :
Job Description
Develop solutions with an Agile Development team.
Define, produce, test, review, and debug solutions.
Create component-based features and micro-frontends.
Database development with Postgres
Create comprehensive unit test coverage in all layers.
Deploy solutions to Docker containers and Kubernetes.
Help build a team culture of autonomy and ownership.
Work with a Product Owner to refine stories into functional use cases and identify the work effort as tasks.
Participate in test case creation responsibilities and peer reviews prior to coding.
Review implementation plans of peers prior to their coding.
Demonstrate feature work at the end of each iteration.
Work from home when desired with infrequent visits to the office and limited travel for planning sessions.
Develop our ETL process to be a robust automated production quality solution and lead the implementation and delivery.
Peer with the application engineering team to ensure our data model fits the need of the solution while promoting best practices in its design from both a maintenance and performance perspective.
Peer with the data science team in understanding their needs for preparing large datasets for machine learning.
Assist the team with understanding the execution plan of poorly written queries. Help remediate performance problems by assisting the performance tuning of queries and/or refining the data model to meet the needs of the business.
Build data systems and pipelines.
Evaluate business needs and objectives.
Explore ways to enhance Product / pipeline.
Collaborate with Team
Showcase the Skills / Innovative ideas to Team biweekly.
Eligibility Criteria:
B.Tech/M.Tech/MS/MBA.
Preferred skill:
Strong knowledge of Python & SQL.
Hands-on experience with SQL database design
Hands-on experience or Knowledge about Airflow.
Knowledge of Docker and Kubernetes
Experience with running containerized microservices.
Experience with Apache Spark or AWS EMR.
Experience with cloud platforms (AWS, Azure) with strong preference towards AWS.
Experience in Database design practices
Technical expertise with Data warehouse or Data Lake
Expertise in configuring and maintaining PostgreSQL.
Experience performance tuning queries and data models to produce the best execution plan.
Strong experience building data pipelines & ETL.
Experience working on an Agile Development team and delivering features incrementally.
Experience with Git repositories
Working knowledge of setting up builds and deployments
Experience with both Windows and Linux.
Experience demonstrating work to peers and stakeholders for acceptance
Ability to multi-task, be adaptable, and nimble within a team environment.
Strong communication, interpersonal, analytical and problem-solving skills.
Ability to communicate effectively with nontechnical stakeholders to define requirements.
Ability to quickly understand new client data environments and document the business logic that composes them.
Ability to integrate oneself into geographically dispersed teams and clients.
A passion for high quality software. Previous experience as a data engineer or in a similar role
Eagerness to learn and seek new frameworks, technologies, and languages
Commitment to working with others and sharing knowledge on a regular basis.