Description
& Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics.Responsibilities:
Position: Data Engineering / Senior Manager Experience: 12- 15 Years Location: Gurugram Type: Full Time Certifications: Spark 3.0(Mandatory) and/or Databricks Advanced/Professional Architect.
About the Role: We are seeking an experienced and Senior Data Architect with 12-15 years of experience specializing in data services, data architecture, and data platforms to lead our Data engineering engagements.
The ideal candidate will have a strong hands-on background in data engineering with specific expertise in Spark, PySpark, and Python.
Additionally, experience with cloud-native data engineering platforms like Databricks, Azure Data Engineering or Amazon Web Services (AWS) is highly desirable.
Key Responsibilities: · Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python.
· Lead and manage a team of data engineers, providing technical guidance, mentorship, and performance management.
· Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
· Ensure data quality, integrity, and security across all data engineering projects.
· Implement best practices for data engineering, including code reviews, testing, and documentation.
· Stay up-to-date with the latest industry trends and technologies in data engineering and cloud computing.
· Work closely with stakeholders to understand business needs and translate them into technical requirements.
· Manage project timelines, resources, and budgets to ensure successful delivery of data engineering projects.
Required Skills: · Proven track record of designing and building scalable data pipelines and architectures.
· Hands-on experience with data processing and transformation.
· Strong understanding of data warehousing concepts and ETL processes.
· Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
· Strong leadership and team management skills.
· Effective communication skills, both written and verbal.
Preferred Qualifications: · Experience with cloud-native data engineering on platforms such as Databricks and Azure/AWS.
· Familiarity with cloud services related to data storage, processing, and analytics (e.g., BigQuery, Redshift, S3, EMR).
· Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
· Experience with data visualization tools and techniques.
· Familiarity with machine learning and data science concepts.
Mandatory skill sets:
· Strong experience with data engineering technologies, particularly Spark, PySpark, and Python.
Preferred skill sets:
· 10+ years of experience in data engineering or related roles.
· 3+ years of experience in a Technical managerial role.
· Industry certifications related to data engineering or cloud platforms are a plus.
Years of experience required:
Experience: 12 - 15 Years
Education qualification:
B.Tech / M.Tech / MCA/MBA
Education
Degrees/Field of Study required: Master Degree, Bachelor DegreeDegrees/Field of Study preferred:Certifications
Required Skills
Data EngineeringOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 46 more}Desired Languages
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date