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Job Description : Data Engineer Location : Bengaluru Shift : IST Shift (9 :30 AM to 6 :30 PM) Experience : 3-4 Years About the Role : We are seeking a highly skilled Data Engineer with ~3 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, Delta Lake, 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 : - Strong Hands-on experience with: 1. SQL (Fundamental queries to advanced joins, functions, data transformation), 2. Databricks (Delta Lake, Unity Catalogue), 3. Azure Data Factory 4. PySpark, Python, Azure Cloud, 5. Design, develop, and optimize PySpark workloads. 6. Ability to write scalable, modular, and reusable code in SQL, Python, and PySpark. Others : - Work with senior team members and deliver the programs - Should understand and analyze the requirements given - Provide regular updates and reports on project status and progress. - 3 + years of experience in data engineering or related fields. - Strong communication skills, both written and verbal. - Strong problem-solving skills and attention to detail

Bangalore

Azure Data Engineer - PySpark/Python 

Description : Role Overview : We are seeking experienced Product Analytics Specialists with strong domain expertise in eCommerce and Search Analytics to join our clients Bangalore-based analytics function. The role focuses on analyzing product usage and search behavior to drive discoverability, engagement, and conversion across eCommerce platforms. This position operates within a global analytics team structure, offering collaboration with North American business stakeholders and opportunities for long-term strategic partnership through staff augmentation. Key Responsibilities : - Conduct deep-dive analysis of search queries, content discoverability, and on-site product performance. - Develop performance dashboards and KPI frameworks for search and product optimization. - Partner with product managers, data scientists, and growth teams to define and measure product success metrics. - Deliver actionable insights that shape product roadmaps, search relevance tuning, and customer experience design. - Support experimentation initiatives (A/B testing, journey analysis, and feature impact studies). - Present findings and recommendations through data storytelling and visual analytics. Required Qualifications : - Bachelors or Masters degree in Engineering, Statistics, Computer Science, Economics, or a related field. - 4-8 years of experience in Product Analytics, Search Analytics, or eCommerce Analytics roles. - Strong practical understanding of search stream analysis, CTR optimization, and user journey metrics. - Hands-on expertise in SQL, Python, Google Analytics, BigQuery, or Snowflake. - Ability to build and interpret dashboards using Tableau, Power BI, or Looker. - Excellent command of data visualization, insight communication, and stakeholder engagement. Desired Skills : - Familiarity with search algorithm fundamentals, taxonomy mapping, and personalization flows. - Experience managing multiple global stakeholders across time zones. - Strong ownership mindset and ability to work independently within an integrated team

Product Analytics Specialist - Python 

About the Role : We are seeking a highly skilled Web Scraping & Python API Developer to build and maintain scalable data extraction systems from various websites and APIs. The ideal candidate has hands-on experience with web scraping frameworks, RESTful API development, and data integration techniques. Responsibilities : - Design and develop robust, scalable web scraping scripts using Python (e.g., Scrapy, BeautifulSoup, Selenium). - Build and maintain RESTful APIs to serve scraped data to internal systems or clients. - Handle anti-bot mechanisms like CAPTCHAs, JavaScript rendering, and IP rotation. - Optimize scraping processes for speed, reliability, and data integrity. - Parse and normalize structured and unstructured data (HTML, JSON, XML). - Monitor and maintain scraping pipelines; handle failures and site structure changes. - Implement logging, error handling, and reporting mechanisms. - Collaborate with product managers and data analysts to define data requirements. - Ensure compliance with website terms of service and data use regulations. Requirements : - 3+ years of experience with Python, especially in data extraction and web automation. - Strong knowledge of web scraping libraries (Scrapy, BeautifulSoup, Requests, Selenium). - Experience with REST API development (FastAPI, Flask, or Django REST Framework). - Proficient with data handling libraries (Pandas, JSON, Regex). - Experience working with proxies, headless browsers, and CAPTCHA solving tools. - Familiarity with containerization (Docker) and deployment on cloud platforms (AWS, GCP, Azure). - Strong understanding of HTML, CSS, JavaScript (from a scraping perspective). - Experience with version control (Git) and agile development methodologies. Nice to Have : - Experience with GraphQL scraping. - Familiarity with CI/CD pipelines and DevOps tools. - Knowledge of data storage solutions (PostgreSQL, MongoDB, Elasticsearch). - Prior experience with large-scale web crawling infrastructure. Benefits : - Competitive salary and performance bonuses. - Flexible work hours and remote work option. - Opportunity to work on high-impact, data-driven products. - Learning budget for conferences, books, and courses.

Python API Developer - Web Scraping 

Job Summary : We are seeking a skilled and experienced SSIS (SQL Server Integration Services) and SSAS (SQL Server Analysis Services) Developer to join our data engineering and business intelligence team. The ideal candidate will be responsible for developing, maintaining, and optimizing ETL packages and OLAP/Tabular models to support data warehousing and reporting solutions. Key Responsibilities : - Design, develop, deploy, and maintain SSIS packages for data extraction, transformation, and loading (ETL). - Develop and manage SSAS cubes (Multidimensional and/or Tabular Models) to support advanced analytics and reporting. - Collaborate with business analysts, data architects, and stakeholders to understand data requirements. - Optimize existing ETL processes for performance, scalability, and reliability. - Create and maintain technical documentation, including data flow diagrams and data dictionaries. - Monitor ETL workflows, troubleshoot issues, and implement data quality checks. - Perform data validation and unit testing to ensure accuracy of ETL and cube outputs. - Integrate SSIS/SSAS with Power BI, Excel, and other reporting tools. - Participate in code reviews, sprint planning, and agile development cycles. Required Qualifications : - Bachelors degree in Computer Science, Information Systems, or a related field. - 3+ years of hands-on experience with SSIS and SSAS. - Strong experience with SQL Server and T-SQL. - Experience building both Multidimensional and Tabular SSAS models. - Deep understanding of data warehousing concepts, star/snowflake schema, and ETL best practices. - Familiarity with performance tuning in SSIS and SSAS. - Proficient with data visualization tools like Power BI or Excel (PivotTables). - Knowledge of version control systems such as Git or TFS. Preferred Skills : - Experience with Azure Data Factory, Synapse, or other cloud-based data services. - Exposure to DevOps CI/CD pipelines for SSIS/SSAS deployments. - Familiarity with MDX and DAX query languages. - Certification in Microsoft SQL Server BI Stack is a plus. Soft Skills : - Strong analytical and problem-solving skills. - Effective communication and collaboration skills. - Ability to work independently and manage multiple tasks.

Pune

SSIS/SSAS Developer - ETL/Data Warehousing 

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 

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