
Lead II - Data Engineering -Python - Databricks, PySpark, Python
at Global digital transformation solutions provider.
Role Proficiency:
This role requires proficiency in developing data pipelines including coding and testing for ingesting wrangling transforming and joining data from various sources. The ideal candidate should be adept in ETL tools like Informatica Glue Databricks and DataProc with strong coding skills in Python PySpark and SQL. This position demands independence and proficiency across various data domains. Expertise in data warehousing solutions such as Snowflake BigQuery Lakehouse and Delta Lake is essential including the ability to calculate processing costs and address performance issues. A solid understanding of DevOps and infrastructure needs is also required.
Skill Examples:
- Proficiency in SQL Python or other programming languages used for data manipulation.
- Experience with ETL tools such as Apache Airflow Talend Informatica AWS Glue Dataproc and Azure ADF.
- Hands-on experience with cloud platforms like AWS Azure or Google Cloud particularly with data-related services (e.g. AWS Glue BigQuery).
- Conduct tests on data pipelines and evaluate results against data quality and performance specifications.
- Experience in performance tuning.
- Experience in data warehouse design and cost improvements.
- Apply and optimize data models for efficient storage retrieval and processing of large datasets.
- Communicate and explain design/development aspects to customers.
- Estimate time and resource requirements for developing/debugging features/components.
- Participate in RFP responses and solutioning.
- Mentor team members and guide them in relevant upskilling and certification.
Knowledge Examples:
- Knowledge of various ETL services used by cloud providers including Apache PySpark AWS Glue GCP DataProc/Dataflow Azure ADF and ADLF.
- Proficient in SQL for analytics and windowing functions.
- Understanding of data schemas and models.
- Familiarity with domain-related data.
- Knowledge of data warehouse optimization techniques.
- Understanding of data security concepts.
- Awareness of patterns frameworks and automation practices.
Additional Comments:
# of Resources: 22 Role(s): Technical Role Location(s): India Planned Start Date: 1/1/2026 Planned End Date: 6/30/2026
Project Overview:
Role Scope / Deliverables: We are seeking highly skilled Data Engineer with strong experience in Databricks, PySpark, Python, SQL, and AWS to join our data engineering team on or before 1st week of Dec, 2025.
The candidate will be responsible for designing, developing, and optimizing large-scale data pipelines and analytics solutions that drive business insights and operational efficiency.
Design, build, and maintain scalable data pipelines using Databricks and PySpark.
Develop and optimize complex SQL queries for data extraction, transformation, and analysis.
Implement data integration solutions across multiple AWS services (S3, Glue, Lambda, Redshift, EMR, etc.).
Collaborate with analytics, data science, and business teams to deliver clean, reliable, and timely datasets.
Ensure data quality, performance, and reliability across data workflows.
Participate in code reviews, data architecture discussions, and performance optimization initiatives.
Support migration and modernization efforts for legacy data systems to modern cloud-based solutions.
Key Skills:
Hands-on experience with Databricks, PySpark & Python for building ETL/ELT pipelines.
Proficiency in SQL (performance tuning, complex joins, CTEs, window functions).
Strong understanding of AWS services (S3, Glue, Lambda, Redshift, CloudWatch, etc.).
Experience with data modeling, schema design, and performance optimization.
Familiarity with CI/CD pipelines, version control (Git), and workflow orchestration (Airflow preferred).
Excellent problem-solving, communication, and collaboration skills.
Skills: Databricks, Pyspark & Python, Sql, Aws Services
Must-Haves
Python/PySpark (5+ years), SQL (5+ years), Databricks (3+ years), AWS Services (3+ years), ETL tools (Informatica, Glue, DataProc) (3+ years)
Hands-on experience with Databricks, PySpark & Python for ETL/ELT pipelines.
Proficiency in SQL (performance tuning, complex joins, CTEs, window functions).
Strong understanding of AWS services (S3, Glue, Lambda, Redshift, CloudWatch, etc.).
Experience with data modeling, schema design, and performance optimization.
Familiarity with CI/CD pipelines, Git, and workflow orchestration (Airflow preferred).
******
Notice period - Immediate to 15 days
Location: Bangalore

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What will you need to be successful in this role?
- Own end-to-end engineering and delivery for an organisation of ~150–200 people across client-deployed and product-owned engagements.
- Build and develop the leadership layer of Delivery Managers, Software Development Architects, and Solution Architects.
- Own P&L across all engagements – revenue, margin, cost, SOW governance, and contract negotiation.
- Own senior client relationships and lead governance forums (QBRs, steering committees) for top accounts.
- Drive engineering quality, technical standards, and engineer career development across the organisation.
- Establish the operating rhythm – weekly delivery review, monthly engineering review, quarterly client governance.
- Support pre-sales through estimates, proposals, and client pitches, and identify growth opportunities within accounts.
- 18+ years of total experience spanning engineering and delivery, with 5+ years in senior leadership.
- Proven track record running an organisation of 100+ engineers with direct P&L responsibility.
Good to have:
- Experience running both client-deployed (staff augmentation, embedded teams) and product-owned delivery models in one organisation.
- Technical awareness across Angular, React, .NET, Java, Node.js, Python, AWS, Azure, GCP, Docker, and Kubernetes.
- Exposure to AI-enabled delivery (RAG, agentic systems, MCP, A2A).
- Hands-on familiarity with Jira Align, MS Project, or similar portfolio tooling.
- MBA or equivalent business qualification; relevant certifications a plus (PMP, PgMP, SAFe).
Competencies:
- Engineering leadership and technical depth – credible with architects and senior engineers on architecture and trade-offs.
- Strong commercial acumen across P&L ownership, contract governance, and margin management.
- Excellent communication (written, verbal, presentation), persuasion, and negotiation skills at executive level.
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- Sound judgement under pressure, balancing multiple priorities and stakeholders.
- A proactive, can-do and can-think approach to organisational change and problem-solving.
- Excellent academic record – B.E./B.Tech CS/IT with MBA or M.S.
Location: Remote
Role Overview:
We are looking for a Lead Software Engineer with 7-10 years of experience to join our team in Bangalore. The ideal candidate should have strong expertise in financial services, databases, microservices. This role requires a mix of hands-on technical skills, leadership capabilities, and client engagement experience.
Looking for candidates from IIT/NIT/BITS/VIT
Investment Banking Domain Preferred
Key Responsibilities:
- Technical Leadership: Lead a team of developers, perform code reviews, and ensure high-quality software delivery.
- Microservices & Databases: Design, develop, and optimize microservices architecture with robust database integrations.
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- Team Collaboration: Mentor junior engineers, provide technical guidance, and foster a culture of innovation and continuous improvement.
Required Skills & Experience:
- 7-10 years of experience in software development & leadership
- Expertise in financial services domain.
- Strong knowledge of databases (SQL, NoSQL) and microservices architecture
- Excellent client communication skills and ability to manage stakeholder expectations
- Hands-on experience in designing, building, and deploying scalable enterprise solutions
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- Work on cutting-edge projects for Fortune 500 financial institutions
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EDUCATION & EXPERIENCE :
- A professional degree in Computer Science from a reputable institution, backed by a consistent academic record.
- A knack for problem-solving, data structures, and algorithms.
- Proficiency in ElasticSearch.
- 6+ years of hands-on development experience, primarily in building products for large enterprises.
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- Engage in debates and detailed discussions about functional and non-functional requirements with our Product Management team.
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Skills:
- Experience with the core AWS services, plus the specifics mentioned in this job description.
- Experience working with at least one of the following languages: Node.js, Python, PHP, Ruby, Kotlin or Java.
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· Experience with lead generation and prospect management in the field of HR Services.
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Job Summary: --
- Should be fluent in English (Written & Verbal)
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Required Experience, Skills, and Qualifications: -
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Benefits: -
- Fast Growth
- Metro Connectivity (Walking Distance from Noida sec 15 or sec 16 Metro)
- Friendly Culture
- Minimum 1 Year Contract











