Mandatory Skills: Python, Pyspark, SQL, Databricks, Azure Years of Experience: 5- 8 Years Location: Bangalore, Pune, Hyderabad, Remote (Hybrid ) Notice Period : Immediate, 0- 15 Days, currently serving ( Can join by October ) Strong in communication Can work as Individual contributor and Within a company As a Databricks Data Engineer at KPI Partners, you will play a crucial role in designing, developing, and optimizing data processing pipelines on the Databricks platform. You will be
responsible for transforming raw data into actionable insights and enabling data-driven decision- making across the organization. Your expertise in data engineering and proficiency with the
Databricks environment will be essential in building scalable and efficient data workflows. Key Responsibilities: - Develop and maintain data pipelines using Databricks, Spark, and other data processing technologies. - Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality and accessibility. - Implement and optimize ETL processes to support analytics and reporting initiatives. - Monitor and troubleshoot data pipeline performance, ensuring timely delivery and reliability. - Contribute to the design and implementation of data architecture and data models. - Utilize Databricks notebooks for data exploration, visualization, and sharing insights with team members. - Stay updated with the latest trends and advancements in data engineering and the Databricks platform. Skills and Tools Required: - Proficiency in Databricks and Apache Spark. - Strong programming skills in Python or Scala for data processing. - Experience with ETL processes and tools. - Knowledge of data modeling and data warehousing concepts. - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Experience with SQL and database technologies (e.g., MySQL, PostgreSQL, or others). - Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. - Strong analytical and problem-solving skills. - Excellent communication and collaboration skills to work effectively within a team.
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