Expoint - all jobs in one place

מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר

Limitless High-tech career opportunities - Expoint

Citi Group Senior Data Engineering Lead - C12 / AVP PUNE 
India, Maharashtra, Pune 
805481589

24.09.2024

Responsibilities

  • Design, develop and maintain scalable data pipelines and related solutions.
  • Build and manage Database solutions to meet data access and reporting Platforms.
  • Evaluate and recommend tools, technologies, and best practices for data engineering.
  • Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
  • Demonstrating deep technical knowledge and expertise in software development, including programming languages, frameworks, and best practices. Providing guidance and mentorship to junior team members
  • Optimize data architecture for scalability, performance and reliability.
  • Monitor, troubleshoot and resolve issues in data pipelines and systems.
  • Integrate disparate data sources(files, Databases, APIs) into centralized data access platform.


Qualifications:

  • 8 to 12 years of experience in Technology domain
  • 5+ years of relevant experience in Technology implementing data intensive solutions using agile methodologies.
  • Experience with real time data processing and data virtualization technologies such asStarburst, Snowflake, Flink will be preferred.
  • Strong experience with data processing (e.g. Spark, Starburst, Snowflake, RedShift,), storage(e.g. Hadoop, MongoDB, Oracle) and ETL(e.g. Airflow, Ab-Initio, Talend) solutions.
  • Experience with data engineering techniques like building data lakes and data warehouses, data mesh, data pipelines, ETL vs. ELT
  • Experience with designing and developing distributed systems, handling structured and unstructured data to store, analyze and report.
  • Experience with developing and maintaining large and complex database systems using relational databases like Oracle, and other big data technologies like Hadoop, Spark etc.
  • Proficient in PL/SQL and Unix Shell scripts. Strong SQL, PL/SQL development and database tuning experience.
  • Experience with Data Quality and data lineage.
  • Experience in designing Online Transaction Processing (OLTP), Operational Data Store (ODS) and Data Warehouse applications.
  • Consistently demonstrates clear and concise written and verbal communication.
  • Proven ability to manage multiple priorities and work effectively under pressure.


Education:

  • Bachelor’s degree/University degree or equivalent experience

Time Type:

Full time

View the " " poster. View the .

View the .

View the