Senior Data Engineer

Luxoft; Bengaluru; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A prominent data engineering firm in Bengaluru seeks a Senior Engineer for the Data Engineering & Analytics team. You will develop innovative analytical solutions and ensure scalable data architecture while driving the evolution of products and platforms. Candidates must have over 8 years of relevant experience, particularly in Python, PySpark, and SQL, as well as a background in the banking and finance sector. This role offers an opportunity to work with large datasets and create impactful solutions that drive business insights and decisions.

Qualifications

• 8+ years of experience in data engineering, preferably in a banking or finance environment.
• Proficient in Python, PySpark, SQL, and Hadoop platforms.
• At least 6 years of hands-on experience as a Data Engineer.

Responsibilities

• Drive the evolution of Data & Services products/platforms focusing on data engineering.
• Design scalable data architecture and data pipelines.
• Provide support for deployed data applications and models.

Skills

Python

PySpark

SQL

Hadoop

Data pipeline and workflow management tools

Education

Degree in Computer Science or equivalent experience

Tools

Jenkins

Databricks

NIFI

Airflow

Job description

Project description

As a Senior Engineer in the Data Engineering & Analytics team, you will develop data & analytics solutions that sit atop vast datasets gathered on the banking & finance sector. The challenge will be to create high-performance algorithms, cutting-edge analytical techniques and intuitive workflows that allow our users to derive insights from big data that in turn drive their businesses. You will have the opportunity to create high-performance analytic solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data. You will have the opportunity to develop data-driven innovative analytical solutions and identify opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations/decisions through activities like building automated data pipelines, designing data architecture/schema, performing jobs in big data cluster by using different execution engines and program languages such as Hive/Impala, Python, Kafka, PySpark etc.

Responsibilities

• Drive the evolution of Data & Services products/platforms with an impact-focused on data engineering.
• Design and implement scalable data architecture and data pipelines.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Provide support for deployed data applications and analytical models by being a trusted advisor to Data Scientists/AI Engineers.
• Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
• Ingest, and incorporate new sources of real-time, streaming, batch into our platform to enhance the insights we get from running tests and expand the ways and properties on which we can test and experiment with new tools to streamline the development, testing, deployment, and running of our data pipelines.
• Evaluate trade-offs between many analytics solutions to a problem, considering usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision.
• Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients, and other stakeholders.
• Evangelize releases to users, incorporating feedback, and tracking usage to inform future development.
• Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
• Work with small, cross-functional teams to define the vision, establish team culture and processes.
• Escalate technical errors or bugs detected in project work.

SKILLS

Must have

• Must-HaveYears of Experience : 8+ years
• Working proficiency in using Python, PySpark, SQL, Hadoop platforms to build Big Data products & platforms.
• Experience with performance Tuning of Database Schemas, Databases, SQL, ETL Jobs, and related scripts
• At least 6 years of relevant hands‑on experience as a Data Engineer in an individual contributor capacity.
• Experience in working with Cloud APIs (e.g., Azure, AWS)
• Experience in working with SQL database like Postgres, Oracle
• Preferably with hands‑on experience with Hadoop big data tools (Hive, Impala, Spark)
• Experience with data pipeline and workflow management tools: NIFI, Airflow.
• Good troubleshooting and debugging skills.
• Proficient in standard software development, such as version control, testing, and deployment using Jenkins & DAB (Databricks Asset Bundle).
• Ability to quickly learn and implement new technologies.
• Ability to Solve complex problems with multi‑layered data sets.
• Ability to innovate and determine new approaches & technologies to solve business problems and generate business insights & recommendations.
• Ability to multi‑task and strong attention to detail
• Flexibility to work as a member of a matrix based diverse and geographically distributed project teams
• Good communication skills - both verbal and written - and strong relationship, collaboration skills, and organizational skills.

Nice to have

• Experience in working with CI/CD.
• Comfortable in developing shell scripts for automation.
• Degree in Computer Science, Electrical Engineering or equivalent experience.