Data Engineer with Databricks and Power BI (DAX) Experience

Acesoft Labs; Bengaluru; Hybrid; INR 2,800,000 - 3,600,000; Part time

Job summary

Sony India Software Centre is seeking a Senior Data Engineer with strong Databricks, Power BI (DAX) and SQL experience to design and maintain robust data pipelines and architectures. The role involves collaborating with data scientists, analysts and cross-functional teams to deliver scalable data solutions that empower data-driven decisions.

Responsibilities include building ETL processes, developing real-time dashboards, optimizing data storage, ensuring data quality and mentoring junior

Qualifications

• Mandatory skills include Databricks, Power BI, DAX, SQL, Data Warehousing and Power Automate.
• Experience level is 7 to 9 years.
• Location is Bengaluru, India.

Responsibilities

• Design scalable data pipelines using Databricks and Spark.
• Develop Power BI dashboards and reports with DAX.
• Collaborate with data scientists and analysts to meet business needs.
• Optimize storage and data retrieval for performance.
• Ensure data quality and governance practices.
• Mentor junior data engineers and share knowledge.
• Stay updated with data engineering trends and technologies.

Skills

Databricks Engineer

Power BI Developer

DAX Queries

SQL

Data Warehousing

Power Automate

Education

B Tech

Tools

Databricks

Apache Spark

Delta Lake

Python

PySpark

Azure

Git

Azure DevOps

Job description

Hi all ,

we are having an opening for the role of Senior data engineer

Notice period : Immediate - 15 days

Type : C2H

Mandatory Skills

• Databricks Engineer
• Power Bi Developer
• Dax Queries
• SQL
• Data Warehousing
• Power Automate

Experience

7 to 9 Years

Location

Bengaluru

Job Description

Job Title: Senior Data Engineer with Databricks and Power BI (DAX) Experience

As a Senior Data Engineer at Sony India Software Centre, you will be responsible for designing, developing, and maintaining robust data pipelines and data architectures to support advanced analytics and reporting initiatives. You will work closely with data scientists, analysts, and other stakeholders to deliver high-quality data solutions that empower the organization to make data-driven decisions. Your expertise in Databricks and Power BI (DAX) will be critical in optimizing data workflows and visualizing complex datasets.

Key Responsibilities

• Design and implement scalable data processing solutions using Databricks, including ETL processes that efficiently handle large data volumes.
• Develop interactive dashboards and reports using Power BI to facilitate real-time data visualization and insights for stakeholders.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs and objectives.
• Optimize data storage and retrieval processes to enhance performance and reduce latency.
• Ensure data quality and integrity by implementing best practices for data governance and validation.
• Mentor junior data engineers and contribute to knowledge sharing within the team.
• Stay updated with the latest trends and technologies in data engineering, and evaluate their applicability to the organization's needs.

Skills and Tools Required

• Proficiency in Databricks and experience with Spark for big data processing.
• Strong experience with Power BI, particularly in building reports and dashboards using DAX.
• Solid programming skills in Python or Scala for developing data pipelines.
• Knowledge of SQL and experience with relational databases and data warehousing concepts.
• Familiarity with cloud platforms - Azure, particularly in relation to data storage and processing.
• Understanding of data modeling, ETL processes, and data integration methodologies.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities to work effectively in a team-oriented environment.

Skill Area Tools & Technologies

• Data Engineering Databricks, Apache Spark, Delta Lake
• Programming Python, SQL, PySpark
• BI & Visualization Power BI, DAX, Power Query
• Cloud Platforms Azure
• DevOps & CI/CD Git, Azure DevOps
• Data Governance Unity Catalog, Data Lake Security

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field.
• Previous experience in a similar data engineering role, particularly within a corporate environment.
• Knowledge of additional BI tools and data visualization platforms is a plus.

Sony India Software Centre offers a dynamic work environment and opportunities for professional growth and development. Join us in our mission to innovate and deliver exceptional data solutions that drive business excellence.

Education Qualificaiton

B Tech