Sr. Data Engineer

Synechron; Pune District; Hybrid; INR 3,000,000 - 5,200,000; Full time

Job summary

Synechron in Pune (Kharadi) is seeking a Sr. Data Engineer to help move our platform to the cloud, focusing on Azure Databricks, data lake design, and scalable ETL/ELT pipelines.

You will design, develop, and maintain pipelines, automate workflows with Databricks Jobs and CI/CD, and collaborate with AI and data engineering teams while working from the office 3 days a week.

Qualifications

• 10+ years of data engineering experience in cloud environments.
• Experience with Azure Databricks optimization and data lake design.
• Strong scripting in Python and T-SQL; Linux/Shell skills.
• Experience with Azure Data Factory and Azure Pipelines.
• Bachelors or Masters in IT/CS related field.

Responsibilities

• Develop big data solutions using Azure Databricks.
• Design and maintain ETL/ELT pipelines.
• Automate workflows with Databricks Jobs, Workflows, and CI/CD.
• Learn and develop new technical skills as we look to adopt best-in-class solutions.
• Collaborate with stakeholders and work from office 3 days a week.

Skills

Azure

Databricks

Key Vault

SPN

Azure CLI

Data Lake

SQL/T-SQL

Python

Linux

Azure Pipelines

Education

Bachelor's degree

Master's degree

Job description

## Sr. Data EngineerApply: Pune - Kharadi (EON-II): Full time: Posted Today: JR1044949**Job Role**P380-Core Engineering Data & AI (CEDA)- Sr. Data Engineer **Job Description**You'll be working in a team, supporting our chapters and pods to take our platform to the cloud. We are a team of dedicated professionals who are looking to build out our next generation platform to solve complex enterprise-wide problems and the data store in cloud is a key enabler in our cloud journey. **Technical Skills (Must Have)**Azure, Databricks, Key vault, SPN, Azure CLI, Data Lake **Optional Skills (Good to have)**Agile, PLSQL **Responsibilities*** Development of big data technologies like Azure Databricks.* Design, develop, and maintain ETL/ELT pipelines using Apache Spark (batch and streaming).* Automate workflows using Databricks Jobs, Workflows, and CI/CD pipelines.* Learn and develop new technical skills as we look to adopt the best-in-class solutions* Seek long term cloud cos efficiencies* undefined **Primary Skills*** More than 10+ years of experience in Cloud technologies (Azure).* Experience in Azure pipelines / ADF (Azure Data Factory).* 10+ years of experience in data engineering with at least 3+ year in Databricks optimization* Experience with cluster sizing, caching strategies, and query optimization in Databricks* Scripting in TSQL coding, Python, etc.* Experience in Linux / Shell Programming **Secondary skills*** A bachelor’s or master’s degree, preferably in Information Technology or related field (computer science, mathematics, etc.) focusing on data engineering.* Strong communication skills with the ability to build partnerships with stakeholders.* Comfortable with 3 days/ week working from Office (WFO).