Deloitte Hiring
Data Engineer
Batch: 2024/23/22/21/20/19/18
Salary: Up to 12 LPA
Education: B.Tech/M.Tech/MS/MBA
Location: Hyderabad/Pune/Chennai/Mumbai/Kolkata/Gurugram
Required skills
- 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 be 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
Preferred skills
- Experience working with Azure DevOps, JIRA, or similar project-tracking software.
- Experience working in a startup environment
- Experience with data streaming such as Apache Kafka, AWS Kinesis, Spark Streaming, or similar tools.
- Experience with many other big data technologies at scale. Experience with BigQuery or similar (Redshift, Snowflake, other MPP databases)
- Knowledge of when to use NOSQL versus traditional RDBMS
- Experience with RDS in AWS a big plus.
- Kafka, RabbitMQ, or similar queueing technologies are a plus.
- Experience with BI tools such as Tableau and Jaspersoft
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