Senior Data Platform Engineer

1 week ago


Banga Rural, India 7DXPERTS INDIA PRIVATE LIMITED Full time
Data Engineering and Architecture Specialist

We are seeking an experienced Data Engineering and Architecture Specialist to join our team at 7Dxperts India Private Limited. As a Data Engineering and Architecture Specialist, you will design, build, and maintain large-scale data platforms using Databricks, AWS, and other cloud services.

Responsibilities:

• Design and build data pipelines using Databricks, Spark, and AWS services
• Develop and implement data architectures using Databricks, AWS, and other cloud services
• Collaborate with cross-functional teams to implement data-driven solutions
• Ensure data quality, security, and compliance

Requirements:

• 3+ years of experience in data engineering, architecture, and cloud computing
• Strong knowledge of Databricks, Spark, and AWS services
• Experience with data pipelining, data architecture, and data governance
• Excellent communication and collaboration skills

We appreciate that individual growth is important as well and we support you on every aspect of personal development.

We offer a comprehensive benefits package, including medical insurance, provident fund, and opportunities for professional growth and development. If you are a motivated and detail-oriented individual with a passion for data engineering and architecture, we encourage you to apply for this exciting opportunity.

Knowledge and experience in Big Data technologies, Databricks, Spark, Hadoop, EMR, or Hortonworks. Solid hands-on experience in programming languages Python, Spark, SQL, Spark Streaming, Hive, and Presto. Experience in different Databricks components and API like notebooks, jobs, DLT, interactive, and jobs cluster, SQL warehouse, policies, secrets, dbfs, Hive Metastore, Glue Metastore, Unity Catalog, and ML Flow. Knowledge and experience in AWS Lambda, VPC, S3, EC2, API Gateway, IAM users roles & policies, Cognito, Application Load Balancer, Glue, Redshift Spectrum, Athena, and Kinesis. Experience in using source control tools like Git, Bit Bucket, or AWS Code Commit and automation tools like Jenkins, AWS Code Build, and Code Deploy. Hands-on experience in Terraform and Databricks API to automate infrastructure stack. Experience in implementing CI/CD pipeline and ML Ops pipeline using Git, Git Actions, or Jenkins. Experience in delivering project artifacts like design documents, test cases, traceability matrix, and low-level design documents. Build references architectures, how-tos, and demo applications for customers. Ready to complete certifications.

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