Manager - ETL PySpark

8 - 13 years

13 - 17 Lacs

Posted:7 hours ago| Platform: Naukri logo

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Full Time

Job Description


Position Summary We are looking for a highly skilled and experienced Data Engineering Manager to lead our data engineering team. The ideal candidate will possess a strong technical background, strong project management abilities, and excellent client handling/stakeholder management skills. This role requires a strategic thinker who can drive the design, development and implementation of data solutions that meet our clients needs while ensuring the highest standards of quality and efficiency.  Job Responsibilities 
  • Technology Leadership- Lead guide the team independently or with little support to design, implement deliver complex cloud-based data engineering / data warehousing project assignments
  • Solution Architecture & Review- Expertise in conceptualizing solution architecture and low-level design in a range of data engineering (Matillion, Informatica, Talend, Python, dbt, Airflow, Apache Spark, Databricks, Redshift) and cloud hosting (AWS, Azure) technologies
  • Managing projects in fast paced agile ecosystem and ensuring quality deliverables within stringent timelines
  • Responsible for Risk Management, maintaining the Risk documentation and mitigations plan.
  • Drive continuous improvement in a Lean/Agile environment, implementing DevOps delivery approaches encompassing CI/CD, build automation and deployments.
  • Communication & Logical Thinking- Demonstrates strong analytical skills, employing a systematic and logical approach to data analysis, problem-solving, and situational assessment. Capable of effectively presenting and defending team viewpoints, while securing buy-in from both technical and client stakeholders.
  • Handle Client Relationship- Manage client relationship and client expectations independently. Should be able to deliver results back to the Client independently. Should have excellent communication skills.

  •  Education 
    BE/B.TechMaster of Computer Application Work Experience 
  • Should have expertise and 8+ years of working experience in at least twoETL toolsamong Matillion, dbt, pyspark, Informatica, and Talend
  • Should have expertise and working experience in at least twodatabases among Databricks, Redshift, Snowflake, SQL Server, Oracle
  • Should have strong Data Warehousing, Data Integration and Data Modeling fundamentals like Star Schema, Snowflake Schema, Dimension Tables and Fact Tables.
  • Strong experience on SQL building blocks. Creating complex SQL queries and Procedures.
  • Experience in AWS or Azure cloud and its service offerings
  • Aware oftechniques such asData Modelling, Performance tuning and regression testing
  • Willingness to learn and take ownership of tasks.
  • Excellent written/verbal communication and problem-solving skills and
  • Understanding and working experience on Pharma commercial data sets like IQVIA, Veeva, Symphony, Liquid Hub, Cegedim etc. would be an advantage
  • Hands-on in scrum methodology (Sprint planning, execution and retrospection)

  •  Behavioural Competencies 
    Teamwork & LeadershipMotivation to Learn and GrowOwnershipCultural FitTalent Management Technical Competencies 
    Problem SolvingLifescience KnowledgeCommunicationDesigning technical architectureAgilePySparkAWS Data PipelineData ModellingMatillionDatabricksLocation - Noida,Bengaluru,Pune,Hyderabad,India

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