Lead Data Engineer
Mumbai, Maharashtra, India
Applications have closed
Acrotrend
Acrotrend Solutions is a customer analytics consultancy in the UK that brings business intelligence and decision-making together. Turn consumer data into smart insights.Role: Lead Data Engineer
Location: Mumbai, India
Travel: Wherever the client is!
Experience: 6-8 Years
Remuneration: Commensurate with your experience
Acrotrend is a customer analytics consulting firm that specialises in supporting businesses to maximise the potential of the digital world. We take you from data to insight to action. We combine curiosity, questions and our love of data with:
• Best of breed customer analytics technology
• Machine learning and data science
• Packaged solution accelerators
In 2021 Acrotrend was awarded ‘Silver’ rating in the Financial Times UK’s Leading Management Consultancies List. In 2022, Acrotrend bagged ‘Silver’ ratings in three categories - ‘Data Analytics & Big Data,’ ‘Internet, Media & Entertainment’ and ‘Sales & CRM’’, and a ‘Bronze’ rating in ‘Healthcare & Life Sciences’ to be positioned above some of the industry’s leading names.
Check out our website to understand what we do and how we work. We are seeking a smart, diligent, methodical consultant who will be an expert in delivering our consulting service offerings to clients.
What you’ll do…
- Be a key member of our Technology Consulting team helping our clients in designing and developing their customer data analytics solutions.
- Analyse business/functional requirements, review the cloud-based solution architecture for ETL projects and develop the technical cloud-based architecture and design
- Work on the data from latest channels and avenues of customer interaction (e.g. cloud based/mobile solutions/social media/web logs along with the traditional data sources like CRM, Marketing automation) to derive customer insight and analytics.
- Design, build and test the cloud-based integration solution in collaboration with onsite/offshore team members. Deploy the solution on a high-availability shared service cloud-based production environment.
- Perform code reviews and ensure that the solution is aligned to pre-defined architectural standards, guidelines, best practices, and meet quality standards.
- Understand and comply with the established software development life cycle methodology.
- Proactively identify opportunities for process improvements and implement the same.
- Establish and enhance technical guidelines and best practices for cloud integration development team.
Requirements
You’ll do it using…
- Expertise of data integration methodologies with experience on different cloud-based data integration technologies such as DBT / AWS Glue (Pyspark based) and Databricks utilising techniques on data pipelines, APIs, Microservices within AWS
- Experience of programming languages (Python) pertaining to data engineering
- Experience working with cloud-based SQL/NoSQL databases, data warehouses and data lakes like Snowflake, S3, Amazon Redshift and Amazon Redshift Spectrum
- Expertise on AWS platform and components including Athena, Lambda and S3
- A good understanding of Data Governance/Data Management/Data Quality processes.
- Proficiency with data modelling techniques.
- Experience or knowledge of DevOps and DataOps utilising Git related platforms
- The ability to work on fast-paced projects and deliver independently for any critical Consulting role.
- Relevant Certifications on AWS.
You’ll fit in by…
• Embodying the values of Acrotrend
• Thinking like an owner (Founder’s Mindset)
• Communicating with honesty, candour, and respect
• Being resourceful and creative
• Acting with empathy
Benefits
You’ll love it because…
• You will have the opportunity to work in a successful, fast-moving mission-driven company
• You will have autonomy and growth opportunities
• You will collaborate with other brilliant minds
• You will always be surrounded by new challenges from clients, consultants and technology
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Athena AWS AWS Glue Big Data Consulting Consulting firm Data Analytics Databricks Data governance Data management DataOps Data pipelines Data quality DevOps Engineering ETL Git Lambda Machine Learning Microservices NoSQL Pipelines PySpark Python Redshift SDLC Snowflake SQL
Perks/benefits: Career development Startup environment
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