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Data Engineer
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Job Description
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, you will engage in the design, development, and maintenance of data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with team members to address challenges and enhance data workflows, contributing to the overall efficiency and effectiveness of data management within the organization.
Roles & Responsibilities:
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, you will engage in the design, development, and maintenance of data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with team members to address challenges and enhance data workflows, contributing to the overall efficiency and effectiveness of data management within the organization.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Assist in the optimization of data processing workflows to enhance performance.
- Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Experience with data integration and ETL tools.
- Strong understanding of data modeling and database design principles.
- Familiarity with cloud platforms and services related to data storage and processing.
- Knowledge of programming languages such as Python or Scala for data manipulation.
- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Kolkata office.
- A 15 years full time education is required.
More Info
Key Skills
About Company
Skills:
MySQL, Kafka, Redshift, Sql, Python, AWS, Airflow, dbt
Skills:
snowflake , Google Cloud, Advanced Sql, Sap Hana, Azure, Python, AWS, Generative AI, LLMs, AI Agents, SIT data validation, dbt, RAG, Control-M
Skills:
Elk, Pyspark, PostgreSQL, Prometheus, Kafka, Grafana, Nosql, Numpy, Celery, Docker, Terraform, Neo4j, Flask, Oracle, Python, Pytest, Graphql, Cloudformation, Sql, Django, Jenkins, Pandas, FastAPI, Apache Beam, Kubernetes, JanusGraph, unittest, Flink, GitHub Actions, Bitbucket Pipelines, OpenTelemetry, asyncio, Pulsar
Skills:
Terraform, Docker, Cloudformation, Pyspark, ECS, Spark, Sql, Python, AWS data services, EKS
Skills:
Apache Airflow, Jenkins, Git, Shell scripting, Aws Cloud, Python, Continuous Delivery, Continuous Integration, Cloudera data stack