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Akira Consultancy Reviews by Employees

About the Role : We are seeking a skilled and experienced Google Cloud Platform (GCP) Data Engineer to join our data team. The ideal candidate will be responsible for designing, building, and maintaining scalable and robust data pipelines and systems using GCP services. You will collaborate with data analysts, data scientists, and business stakeholders to ensure high-quality data infrastructure. Key Responsibilities : - Design, develop, and deploy scalable data pipelines using GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.) - Build data integration solutions to ingest structured and unstructured data from multiple sources - Optimize existing data pipelines and perform troubleshooting and performance tuning - Implement and manage data warehousing solutions using BigQuery - Ensure data governance, quality, and security best practices - Collaborate with cross-functional teams to understand data requirements and deliver actionable insights - Maintain ETL/ELT jobs using tools like Apache Beam, Cloud Composer (Airflow), or similar - Develop CI/CD pipelines for data workflows using Cloud Build, Terraform, etc. Required Qualifications : - Bachelor's or Master's degree in Computer Science, Information Technology, or a related field - 5+ years of experience in data engineering roles - Strong experience with GCP data services : BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Storage, etc. - Proficiency in SQL and Python (or Java/Scala) - Experience with Apache Beam, Airflow, or Cloud Composer - Familiarity with data modeling, data warehousing, and ETL/ELT design principles - Understanding of data security and compliance standards (e.g., GDPR, HIPAA) Preferred Qualifications : - GCP Professional Data Engineer certification - Experience with streaming data pipelines - Familiarity with other cloud platforms (AWS, Azure) - Experience in CI/CD automation and Infrastructure-as-Code (IaC) using Terraform, Cloud Build, or similar - Exposure to data visualization tools like Looker, Tableau, or Power BI

Bangalore

Data Engineer - Google Cloud Platform (5-6 yrs)

About Akira : AKIRA is a bootstrapped Data & Analytics Services company driven by technology excellence, consultative practices, and a focus on building technology-agnostic customer solutions, helping organizations realize business value through data. We have grown over three times in the past two years across business, headcount, and the number of clients we serve, once we started focusing on growth. AKIRA is a growth engine, where we provide great opportunities for all our team members to extract maximum learning and satisfaction from the work they deliver. Job Description : Sr. Data Engineer Location : Bengaluru Shift : IST Shift (9 :30 AM to 6 :30 PM) Experience : 4-5 Years About the Role : We are seeking a highly skilled Senior Data Engineer with ~5 years of experience to join our dynamic team. The ideal candidate will have a strong background in data engineering technologies, especially SQL, Databricks, PySpark, Azure Data Engineering Services, and client-facing experience. Mandatory skills : Python/PySpark, SQL/ SparkSQL, Spark, Databricks, Azure Data Factory, Strong ETL background. Good to have skills : Azure DE Services (Synapse, Fabric), AWS DE Services (Glue), Data Modelling, Any BI tools (Power BI, Tableau, Qlik, Looker) Technical Expertise : - Hands-on experience with SQL (Fundamental queries to advanced joins, functions, data transformation), Databricks (Delta Lake, Unity Catalogue), PySpark, Python, Azure Cloud, Design, develop, and optimize PySpark workloads. - Ability to write scalable, modular, and reusable code in SQL, Python, and PySpark. Others : - Engage with stakeholders to gather and analyze requirements. - Provide regular updates and reports on project status and progress. - Ensure alignment of data solutions with business objectives - 5 years of experience in data engineering or related fields. - Strong communication skills, both written and verbal. - Strong problem-solving skills and attention to detail - Machine learning exposure is a plus

Senior Data Engineer - Python/PySpark (4-5 yrs)

About Akira : AKIRA is a bootstrapped Data & Analytics Services company driven by technology excellence,consultative practices, and a focus on building technology-agnostic customer solutions, helping organizations realize business value through data. We have grown over three times in the past two years across business, headcount, and the number of clients we serve, once we started focusing on growth. AKIRA is a growth engine, where we provide great opportunities for all our team members to extract maximum learning and satisfaction from the work they deliver. Job Description : Data Engineer/SQL Developer Location : Bengaluru Shift : IST Shift (9 :30 AM to 6 :30 PM) Experience : 3-5 Years About the Role : We are seeking a highly skilled Data Engineer with 3-5 years of experience to join our dynamic team. The ideal candidate will have a strong background in data engineering technologies, especially SQL, MSBI platform, Data modelling, and client-facing experience. Mandatory skills : SQL, SQL Server, Azure Data Factory (ADF) or SSIS, SSAS, Strong ETL background Good to have skills : Data Modelling, Azure Cloud Platform Key Responsibilities : - Participate in requirements gathering, database design, testing and production deployments. - Analyse system/application requirements and design innovative solutions. - Translating business requirements to technical specifications data streams, data integrations, data transformations, databases, data warehouses & data validation rules. - Design and develop SQL Server database objects (i.e., tables, views, stored procedures, indexes,triggers, constraints, etc.) - Analyze and design data flow, data lineage mapping and data models. - Optimize, scale and reduce the cost of analytics data platforms for multiple clients. - Adherence to data management processes and capabilities. - Enforcing compliance with data governance and data security. - Performance tuning and query optimizations in terms of all the database objects. - Perform unit and integration testing. - Create technical documentation. - Develop and assist team members. - Provides training to the team members. Desired Profile : - Experience in data modelling and database design. - Experience in MS SQL Server (i.e., tables, views, stored procedures, indexes, triggers, constraints, etc.) - In-depth ETL development experience working with Microsoft SQL Integration Services (SSIS) or Azure data factory using all areas of the environment, including scripting. - Development experience working with OLAP and Microsoft SQL Server Analysis Services (SSAS). - Preferred experience in working on Azure Services like Azure Data Factory, Azure data lake storage (ADLS), Azure Blob Storage, Azure Synapse Analytics (Azure Data Warehouse), Azure Analysis Services - Solid understanding of database design principles. - The candidate must also have had experience in data warehousing inclusive of dimensional modeling concepts and data lake concepts with practical knowledge of Data Modeling and implementation. - Good to have experience working with varied forms of data infrastructure inclusive of relational databases (MySQL, Oracle etc), column-oriented databases (Redshift, Teradata etc) & No SQL databases (Mongo DB, Cassandra etc) would be good to have. - Demonstrate proficiency in at least one scripting languages, for example, Python, Scala, Power Shell etc. This would be again good to have. - Experience in analysing very large real-world datasets and hands-on approach in data analytics will be a plus. - Experience with Test Driven Development, Continuous Integration, Continuous Deployment etc. - Strong analytical and technical skills. - Good verbal and written communication

MSBI Developer - Data Engineering (4-5 yrs)

About Akira : AKIRA is a bootstrapped Data & Analytics Services company driven by technology excellence, consultative practices and focus on building technology agnostic customer solutions helping organizations realize business value through data. We have grown over 3 times in the past 2 years across business, headcount and number of clients we serve once we started focusing on growing up.AKIRA is a growth engine, where we provide great opportunities to all our team members to extract as much learning and satisfaction for the work they deliver. We will double ourselves in the coming 6-9 months and want to be a great place to work. Job Title : AI/ML Engineer (Data Scientist) Location : Bangalore Job Description : We are an innovative technology company committed to driving business transformation through AI and Machine Learning solutions. We specialize in solving complex business challenges by leveraging cutting-edge AI/ML technologies, delivering scalable, reliable, and maintainable solutions for our clients. We are looking for a skilled AI/ML Engineer to join our dynamic team and play a crucial role in building production-grade AI/ML pipelines and solutions. As an AI/ML Engineer, you will be responsible for designing, developing, and deploying AI and ML models to address complex business challenges. You will collaborate with cross-functional teams, including Data Engineers and Data Scientists, to build scalable, production-grade AI/ML pipelines. Your work will ensure the deployed models are reliable, maintainable, and optimized for performance in real-world environments. Responsibilities : - Design, Develop, and Deploy AI/ML Models : Address complex business challenges through AI and ML solutions, ensuring production-grade deployments - Build Scalable AI/ML Pipelines : Work on data preprocessing, feature engineering, model training, validation, deployment, and ongoing monitoring of AI/ML models - Collaboration with Cross-functional Teams : Collaborate with Data Engineers, Data Scientists, and other stakeholders to implement end-to-end AI/ML solutions - Optimize AI/ML Models in Production : Ensure that deployed models are reliable, scalable, and continuously optimized for high performance in production environments - Develop APIs and Microservices : Build APIs or microservices to integrate AI/ML models into business solutions, making them usable across different platforms - Implement MLOps Practices : Optimize workflows using CI/CD pipelines, automated retraining of models, version control, and monitoring - Apply State-of-the-art AI/ML Techniques : Utilize deep learning, NLP, computer vision, and time-series analysis to develop innovative solutions - Ensure Ethical AI Practices : Adhere to data privacy, security, and ethical AI standards throughout the entire lifecycle of AI/ML models - Stay Up-to-date with Industry Trends : Continuously explore and implement the latest AI/ML techniques, tools, and best practices - Assist in Documentation & Best Practices : Help create and maintain standards, workflows, and documentation for data technology and AI/ML projects Required Skills & Qualifications : - Strong Expertise in AI/ML Frameworks : Proficiency with TensorFlow, PyTorch, or Scikit-learn for building and deploying models - Proficiency in Programming Languages : Strong command of Python or R, including libraries/tools for data science and machine learning - Experience with Cloud-based AI/ML Services : Hands-on experience with Microsoft Azure and Databricks - MLOps Experience : Expertise in implementing automated pipelines, model versioning, monitoring, and lifecycle management - Domain-Specific AI Expertise : Deep knowledge in NLP, computer vision, predictive analytics, or other specialized AI techniques - Excellent Problem-Solving Skills : Ability to identify and address technical challenges with innovative and efficient solutions - Effective Communication Skills : Strong ability to convey complex technical concepts to both technical and non-technical audiences - Attention to Detail : Ability to handle and execute highly specialized projects with a focus on quality Desired Skills & Qualifications : - Familiarity with Distributed Computing : Knowledge of Apache Spark and scalable training techniques for large datasets - Experience with GenAI : Hands-on experience in developing enterprise-level Gen AI applications and models for business use cases - Knowledge of Data Privacy & Security Standards : Understanding of ethical AI principles and ensuring compliance with relevant privacy and security standards - Interpersonal Skills : Excellent collaboration and relationship-building skills with colleagues, stakeholders, and external partners

AI/ML Engineer (3-5 yrs)

AKIRA (A Netscribes group company) is a niche Data & Analytics Services provider. We are driven by technologyexcellence, best-in-class consulting manpower, business know-how and focus on building AI/ML solutions to help organizations realize business value through data. driven by technology excellence, consultative practices and focus on building technology agnostic customer solutions helping organizations realize business value through data Profile Description : Role Presales : Data Analytics Designation : Manager Business Unit : Data Analytics Reporting to: Director : Head of Sales Location : Bangalore Key Responsibilities : - We are looking for experienced professionals who can engage with clients and guide them on their data journey. - A critical requirement of this role will be your ability to understand our client's industry and their business needs and design solutions that can help address those needs. - This 'pre-sales' activity is a crucial differentiator for us to win new deals and it requires a strong understanding of our offerings and great verbal and written communication skills. - You will be responsible for working with the leadership at Akira to help define the strategy for this line of business and implement that strategy. - Pre-Sales/Solution consultant shall be responsible for positioning and selling digital transformation solutions to customers. - Interact with clients, perform data analysis, assess processes and systems, and make recommendations on client initiatives. - The ideal candidate should be hands-on and possess a strong understanding of the combination of Data Science, Data Analytics, and Business Intelligence, with a minimum of 6 years of experience in these areas. Additionally, they should have knowledge of the latest AI technologies, such as Gen AI and LLM - Engaging with sales/pre-sales team and supporting the RFx's by identifying the opportunities and designing the solutions, commercial proposals, demos and bid defence. - Design customer journeys with a focus on customer centricity and customer experience - Ability to identify issues, understand end user pain area - Ability to strategize and curate solution based on identified issues - Assist in Business Development, proposals and proposition creation - Comfortable working and interacting closely with the C - Suite executives and can work independently in a collaborative environment - Support the account management team in working on proactive proposals and demonstration of our solution stack to end customers - Superior organization skills with the ability and desire to balance multiple projects of varying complexity at the same time Skill Set : - 10+ years of experience in data analytics and data engineering domain - Experienced in any two cloud technologies (AWS/AZURE/GCP) - Familiar with Technology Outsourcing services across verticals to lend a strategic & market perspective - Familiarization with emerging technologies such as GenAI, LLMs, Agentic AI, etc. - Good understanding of business aspects of the requirement - Must have excellent pre-sales and solutioning skills - worked on PoCs, proposals, pilots, etc. - Required to understand fairly unstructured requirements from the client and create related SoW and proposals - Excellent communication (both written and oral) skills - Proven client engagement skills and adept at sharing insights and recommendations that have tangible business impacts - Ability to engage with international clients independently and lead discussions to win and execute engagements. (past exposure to US clients desirable) - Skills in storyboarding, problem solving, and insights generation are must Experience and Education : - 10-15 years of experience with major consulting firms delivering strategy and operations projects with an emphasis in business transformation at the intersection of new operating models and new digital technologies. - B. Tech + MBA or equivalent

Presales Manager - Data Analytics (10-14 yrs)

Job Description : Data Engineer Location : Bengaluru Experience : 3 - 5 years About the Role : We are seeking a highly skilled Lead Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering technologies especially SQL, Databricks, Azure services and client facing experience. Key Responsibilities : Technical Expertise : - Hands-on experience with SQL, Databricks, pyspark, Python, Azure Cloud, and Power BI. - Design, develop, and optimize pyspark workloads. - Ability to write scalable, modular and reusable code in SQL, python and pyspark. - Ability to communicate clearly with client stakeholders and ability to collaborate with cross-functional teams. - Requirement gathering and ability to translate business requirements into technical specifications. Stakeholder Management : - Engage with stakeholders to gather and analyze requirements. - Provide regular updates and reports on project status and progress. - Ensure alignment of data solutions with business objectives. Shift Requirements : - Ability to work during US shift hours to coordinate with global teams. Qualifications : - Proficiency in SQL, Databricks, PySpark, Python, Azure Cloud and Power BI. - Strong communication skills, both written and verbal. - Proven ability to work effectively with global stakeholders. - Strong problem-solving skills and attention to detail.

Pune

Data Engineer - Python/PySpark (3-5 yrs)

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