Intellify Solutions

Job Description :

Job Title : Data Engineer and Power BI Data Visualization Engineer

Work location : Pune (Kothrud)

Job Type : PERMANENT (Full-time and on company payroll)

No. of Working days (Per Week) : 5-days week (MON to FRI)

Mode of Work : Work From Office (WFO) for 5-days is required (initially from Kothrud office and thereafter from Baner as they are planning to shift office from Kothrud to Baner in the year 2024)

Qualifications :

Role : Data Engineer

Exp : 9-15 years

Key Responsibilities :

- Develop and maintain scalable data pipelines using Spark, Python, and Scala within Azure Databricks or similar cloud-based environments.

- Collaborate with cross-functional teams across the globe to understand data requirements and implement efficient solutions.

- Utilize SQL and other querying languages to manipulate and extract data from various sources, ensuring accuracy and efficiency.

- Design, build, and optimize data models and architectures to support data processing and analytics needs.

- Ensure data quality, integrity, and security while adhering to best practices and compliance standards.

- Work closely with stakeholders to understand business needs and translate them into technical requirements for data solutions.

- Mentor and guide junior team members, fostering a collaborative and knowledge-sharing environment.

- Communicate effectively with global teams, providing updates, insights, and support as needed.

Minimum Experience, Behaviors and Education :

Requirements :

- Bachelors or masters degree in computer science, Engineering, or a related field.

- 7+ years of hands-on experience as a Data Engineer, preferably in a global organization.

- End to end knowledge of Life Cycle of ML Model.

- Proficiency in Spark, Python, Azure Databricks, SQL, and Scala.

- Experience working with cloud platforms such as Azure or GCP, leveraging their data services.

- Strong understanding of data modeling, ETL processes, and data warehousing concepts.

- Ability to work effectively in a global, multicultural team environment, across different time zones.

- Proven track record of delivering on multiple projects with a focus on scalability, reliability, and performance.

- Excellent problem-solving skills and a proactive approach to tackling complex data challenges.