Hi,
We are having opening for Data Engineering - Manager - Bangalore

Valuable to Have Apache Spark or Hadoop Certification

Job Summary: Data Engineer role for Asia Pacific Region is based out of Bangalore. We are looking for an expert Data

Engineer (Manager level) with deep expertise in big data/data warehousing and can build large-scale data processing systems by using the latest database and data processing technologies. This is a Pan-regional position and plays a critical role in enabling the data platforms through which Data Scientists, Analysts, and BI Users drive solutions for our clients. The Data Engineering Manager takes responsibility for building and running data pipelines, designing our local data warehouse, data marts and data frameworks, and catering for different data presentation techniques. We are looking for a talented, technical, proactive, energetic, and passionate person who embraces challenges and is a proven problem solver..

Job Timing : Day Shift
Working Days : Monday to Friday

Position / DesignationData Engineering - Manager - BangaloreQualificationBachelor's degree in Computer Science, Information Technology, Engineering, or a related technical fieldYears of Experience8+ Years Industry Fintech / Financial ServicesPermanent / Contract (If contract, period ?)Permanent Full TimeOffice / Remote / Hybrid Bellandur Village, Bengaluru, Karnataka 560103
Number of post1GenderMale / FemaleAnnual CTC / SalaryAs Per Industry Standard Selection Process1- Total 3 Technical round
2- 2 rounds evaluation with LV (we can plan to take this together based on panel availability) & 1 with client Job Role & ResponsibilityCreate and maintain optimal data pipelines, data marts and architecture(s),



based on our Global Technology Stack
Collaborate with the global data engineering team to adopt global engineering standards in AP region.
Develop custom-built packages to support the needs of Data Scientists across the region
Provide technical and business support for development of new platforms, tools for data science using both on-prem and cloud technologies.
Identify, design, and implement internal process improvements to provide greater scalability to our existing client solutions
Work with broader business stakeholders to assist clients and consultants with their data and ture needs
Partner with Technology on quarterly planning cycle and support management with relevant metrics to evaluate performance, stability, and reliability of various tools.
Continuous focus on improving Infrastructure efficiency by analyzing logs of queries, tuning settings, translating queries if required.
Review scripts for best practices, educating user base and building training assets for beginner and intermediate users.
Increase consistency of tool usage by developing guidance for specific data science applications and sharing with user community Skills
Skill Level:

- Hands on Experience in API Development and API Publishing along with knowledge of API Integration.





- Hands on experience in a data engineering with good knowledge of distributed data architecture, commonly used BI tools, and approaches/packages used in machine learning build.

- Strong understanding of Hadoop architecture and its core components, including HDFS, YARN,

and MapReduce.

Database Knowledge:

- Solid understanding of SQL and experience working with various database systems.
- Expertise in creating production software/systems in Python and/or Scala, and a proven track record of identifying and resolving performance bottlenecks in production systems.

- Experience with complex, high volume, multi-dimensional data, as well as machine learning models based on unstructured, structured, and streaming datasets.

- Knowledge of Gen AI (Hands on preferred) and related tools along with working knowledge of LLMs.

- Ability to learn new tools and paradigms as data science continues to evolve at our end and elsewhere.

- Demonstrated ability to incorporate new techniques to solve business problems.

- Good communication and presentation skills with ability to interact with different cross-functional team members at varying level

- Self-motivated, results oriented individual with ability to handle multiple projects concurrently.

- Hands On Knowledge of Cloud Services such as AWS including Design and Development of Data Pipelines on AWS.

Good to Have
Understanding of Payments or Banking Industry will be a plus.

Certification in Hadoop (Cloudera or Hortonworks) and Apache Spark preferred.

Understanding of Data Visualization Tools like Tableau / Power BI.

Cloud Certification in AWS ( Intermediate/Advanced Level)Joining DateNeed Immediate to 1 Month

📌 Data Engineering - Fintech / Financial Services Client - Bangalore (Bengaluru)
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📍 Bengaluru