Data Engineer
- Uplers
- 7 - 10 years
- Hyderabad
- 19 days ago
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Job Description
Lead Data Engineer (Databricks)Experience: 7-10 Years Exp
Salary: Competitive
Preferred Notice Period: Within 30 Days
Opportunity Type: Hybrid (Ahmedabad)
Placement Type: Permanent(*Note: This is a requirement for one of Uplers' Clients)Must have skills: Databricks, SQL OR Python, ETL tools OR Data Modelling OR Data WarehousingInferenz (One of Uplers' Clients) is looking for:
About Inferenz:
At Inferenz, our team of innovative technologists and domain experts help accelerating the business growth through digital enablement and navigating the industries with data, cloud and AI services and solutions. We dedicate our resources to increase efficiency and gain a greater competitive advantage by leveraging various next generation technologies.
Our technology expertise has helped us delivering the innovative solutions in key industries such as Healthcare & Life Sciences, Consumer & Retail, Financial Services and Emerging industries.Our main capabilities and solutions:
Data Strategy & Architecture
Data & Cloud Migration
Data Quality & Governance
Data Engineering
Predictive Analytics
Machine Learning/Artificial Intelligence
Generative AISpecialties:
Data and Cloud Strategy, Data Modernization, On-Premise to Cloud Migration, SQL to Snowflake Migration, Hadoop to Snowflake Migration, Cloud Data Platform and Warehouses, Data Engineering and Pipeline, Data Virtualization, Business Intelligence, Data Democratization, Marketing Analytics, Attribution Modelling, Machine Learning, Computer Vision, Natural Language Processing and Augmented Reality.Job DescriptionKey Responsibilities:
Lead the design, development, and optimization of data solutions using Databricks, ensuring they are scalable, efficient, and secure.
Collaborate with cross-functional teams to gather and analyse data requirements, translating them into robust data architectures and solutions.
Develop and maintain ETL pipelines, leveraging Databricks and integrating with Azure Data Factory as needed.
Implement machine learning models and advanced analytics solutions, incorporating Generative AI to drive innovation.
Ensure data quality, governance, and security practices are adhered to, maintaining the integrity and reliability of data solutions.
Provide technical leadership and mentorship to junior engineers, fostering an environment of learning and growth.
Stay updated on the latest trends and advancements in data engineering, Databricks, Generative AI, and Azure Data Factory to continually enhance team capabilities.Required Skills & Qualifications:
Bachelor's or master's degree in computer science, Information Technology, or a related field.
7+ to 10 years of experience in data engineering, with a focus on Databricks.
Proven expertise in building and optimizing data solutions using Databricks and integrating with Azure Data Factory/AWS Glue.
Proficiency in SQL and programming languages such as Python or Scala.
Strong understanding of data modelling, ETL processes, and Data Warehousing/Data Lakehouse concepts.
Familiarity with cloud platforms, particularly Azure, and containerization technologies such as Docker.
Excellent analytical, problem-solving, and communication skills.
Demonstrated leadership ability with experience mentoring and guiding junior team members.Preferred Qualifications:
Experience with Generative AI technologies and their applications.
Familiarity with other cloud platforms, such as AWS or GCP.
Knowledge of data governance frameworks and toolsHow to apply for this opportunity:
Easy 3 Step Process:
1.Click On Apply and register or log in to our portal
2.Upload updated Resume & complete the Screening Form
3. Increase your chances of getting shortlisted & meet the client for the Interview!
About Uplers:
Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.
(Note: There are many more opportunities apart from this on the portal.)So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: UplersLocation(s): Hyderabad
Keyskills: ETL Data Bricks SQL Python
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Uplers
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