District Sales Manager

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

Join Hutech Solutions – Innovate, Lead, and Transform!

We are a global AI-driven software services and product engineering powerhouse, founded and led by

visionary technology leaders from Walmart. We are redefining the future of technology by building

next-gen solutions that empower businesses across Banking, Finance, eCommerce, and Logistics

industries.

At Hutech, we don’t just build software—we create impact. Our culture fosters innovation, creativity,

and continuous learning, enabling our team to push boundaries and solve real-world challenges using

cutting-edge AI tools and techniques.

Position Summary

We are looking for a skilled Data Engineer with strong expertise in Amazon Redshift, advanced SQL,

and data modelling to design, build, and optimize scalable data platforms on AWS. The ideal

candidate will play a key role in developing reliable data pipelines, enforcing data quality standards,

and enabling analytics and reporting across the organization.

Key Responsibilities

● Design, build, and optimize data models (fact/dimension, star/snowflake schemas) with a

strong focus on performance and scalability.

● Develop and maintain complex SQL queries in Amazon Redshift for analytics, reporting, and

downstream consumption.

● Optimize Redshift performance using distribution styles, sort keys, query tuning, and workload

management (WLM).

● Build and orchestrate scalable data pipelines using AWS Glue, Amazon EMR, Apache Spark,

and Airflow.

● Implement data quality checks, validation rules, and monitoring frameworks to ensure

accuracy and consistency.

● Work closely with analytics, BI, and business teams to translate requirements into robust data

solutions.

● Manage and optimize data storage and movement using Amazon S3.

● Ensure best practices in data security, governance, and documentation.

● Troubleshoot data issues and provide root-cause analysis and long-term fixes.

Required Qualifications

● Bachelor’s degree in Computer Science, Engineering, or a related field

● 3–5 years of hands-on experience in data engineering

● Strong advanced SQL skills (mandatory) with deep experience in Amazon Redshift

● Proven expertise in data modeling for analytical workloads

● Strong understanding of AWS data services, including: Amazon Redshift, AWS Glue, AmazonS3, Amazon EMR

● Experience with data pipeline and workflow orchestration tools such as Apache Airflow

● Hands-on experience with Apache Spark

● Proficiency in at least one programming/scripting language such as Python, Java, or Scala

● Solid understanding of data quality, validation, and best practices

Nice to have

● Experience designing large-scale analytics and reporting platforms

● Familiarity with BI tools and downstream analytics use cases

● Experience with cost optimization and performance tuning on AWS

● Exposure to CI/CD for data pipelines

Key Skills

● Amazon Redshift (SQL – Advanced)

● Data Modeling (Analytics-focused)

● AWS (S3, Glue, EMR)

● Apache Airflow

● Apache Spark

● Python / Java / Scala

● Data Quality & Optimization

Strong B2B Direct Sales – Cloud Services Profile

Mandatory (Total Experience): Must have 1+years of B2B sales experience in Cloud / IT Services OR enterprise solution sales experience in BFSI, Manufacturing, or Pharmaceutical companies.

Mandatory (Experience 1 – Direct Sales / Hunting): Must have hands-on experience in direct sales, including prospecting, client outreach, requirement discovery, solution pitching, negotiation, and deal closure.

Mandatory (Experience 2 – End-to-End Sales Cycle): Must have independently handled the complete sales cycle, from enquiry to proposal submission and closure.

Mandatory (Experience 3 – Account Management): Must have experience managing existing client accounts, including renewals, upsell/cross-sell, and long-term relationship management.

Mandatory (Communication Skills): Must have excellent verbal and written communication, negotiation, and presentation skills to articulate value propositions and influence clients.Ability to listen actively, understand client needs, and provide tailored solutions.

Mandatory (Education Background): Must have a technical or IT-oriented education background —BE / BSc IT / MSc IT is mandatory.

Job Title

Data Analyst

Job Brief

The successful candidate will turn data into information, information into insight and insight into business decisions.

Data Analyst Job Duties

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Responsibilities

● Interpret data, analyze results using statistical techniques and provide ongoing reports.

● Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.

● Acquire data fromprimary orsecondary data sources andmaintain databases/data systems.

● Identify, analyze, and interpret trends orpatternsin complex data sets.

● Filter and “clean” data by reviewing computerreports, printouts, and performance indicatorsto locate and correct code problems.

● Work withmanagementto prioritize business and information needs.

● Locate and define new processimprovement opportunities. 

Requirements

● Proven working experienceas aData Analyst or BusinessDataAnalyst.

● Technical expertise regarding data models, database design development, data mining and segmentation techniques.

● Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks).

● Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).

● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

● Adept atqueries,reportwriting and presenting findings.

Job Location SouthDelhi, New Delhi 

Roles and Responsibilities
1. Ability to work on diverse backend stack such as Node JS, Java, Express JS
2. Ability to work on diverse frontend stack such as React JS, Angular 6/7/8/9, HTML5, CSS3

3. Ability to deliver quick POC’s using cutting edge technologies.

4. Preparing reports, manuals and other documentation on the status, operation and maintenance of software.

5. Design, develop, and unit test applications in accordance with established standards

6. Developing, refining, and tuning integrations between applications. Analysing and resolving technical and application problems.

7. Ability to debug application.

8. Should have complete knowledge on developing RESTful Services.

9. Should be able to also work in agile development methodology.
10. Work with designated JavaScript framework to design, develop, and debug web applications
11. Can work on Angular and Integrate backend services
12. Work with the team to manage, optimize, and customize multiple web applications
13. Manage end to end module lifecycle management of the product
14. Push and pull codes via Git repository

Competency Requirements

1. Experience in NodeJS, Java and development using AngularJS / ReactJS
2. Experience in front end frameworks such as Angular.js, React.js, Bootstrap, Foundation etc
3. Experience in client/server application development
4. Knowledge of agile development methodologies
5. Knowledge of unit testing theory
6. Knowledge of AWS cloud
7. Experience in Java, Python and Go will be added advantage

Responsibilities -

• Working closely with the manager or assigned inside-sales rep, and completing all allocated tasks.
• Conducting desktop research, gathering prospect information through LinkedIn or using tools on the Web.
• Observing and carrying out inside sales processes.
• Joining sales calls and helping them in recording main points.
• Research and generate lists of potential customers or companies.
• Provide input on customer briefs and help sales rep with presentations.

Requirements -

• Good Communication skills both written and verbal and the ability to build genuine rapport
• Fluency in English with strong verbal and written communication
• Passionate about sales and willing to learn new things.
• Ability to work in a fast-paced team environment
• Experience with PowerPoint, Word, and Excel preferred.
• A Master's Degree is preferable.
• Superb interpersonal skills.
• A professional appearance.

Benefits -

• Work on increasingly challenging and engaging real-world projects
• Gain hands-on experience in each stage of the sales funnel
• Collaborate with experienced sales professionals.

• Writing blogs, write-ups and various contents for marketing and communications
• Ideating and writing content/ script for success stories in the form of writing, visual content and audio-visual outputs
• Posting on various channels and managing social media handles
• Designing using tools

Desired Candidate Profile

• Focus and Discipline
• Analytical, problem solving and calculative attitude
• Humility to learn, share & keep improving
• Excellent and proactive communication in all formats