Job Description
Role: Data Engineering
nNotice Period: Immediately to 15 days
nExperience: 5–10 Years
nLocation: Bangalore
nMust Have
n
- n
- Experience in architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions.n
- Robust expertise in the end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake, Data hub in AWS.n
- Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, ETL data Pipelines, Big Data model techniques using Python / Java.n
- Experience in loading disparate data sets and translating complex functional and technical requirements into detailed design.n
- Should be aware of deploying Snowflake features such as data sharing, events and lake-house patterns.n
- Should have experience with data security and data access controls and design.n
- Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modeling).n
- Proficient in Lambda and Kappa Architectures.n




- Strong AWS hands-on expertise with a programming background preferably Python/Scala.n
- Good knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory.n
- Strong experience in AWS compute services like AWS EMR, Glue and Sagemaker and storage services like S3, Redshift & Dynamodb.n
- Good experience with any one of the AWS Streaming Services like AWS Kinesis, AWS SQS and AWS MSK.n
- Troubleshooting and Performance tuning experience in Spark framework - Spark core, Sql and Spark Streaming.n
- Experience in one of the flow tools like Airflow, Nifi or Luigi.n
- Good knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit.n
- Experience with AWS CloudWatch, AWS Cloud Trail, AWS Account Config, AWS Config Rules.n
- Strong understanding of Cloud data migration processes, m

📌 Data Engineering (Bengaluru)
🏢 Teamware Solutions
📍 Bengaluru