At Prolifics, we are currently implementing multiple solutions in Software Development, and we are looking to hire a talented Data Engineer for our development center in India. This position would be based out of Hyderabad and is a permanent position. If you are looking for a high growth company with rock-solid stability, if you thrive in the energetic atmosphere of high-profile projects, we want to talk to you today! Let’s connect and explore the possibilities of having you onboard the Prolifics team! · Job Title: Data Engineer · Primary skills: Strong Knowledge on Synapse to Fabric · Secondary skills: Must have knowledge on Alteryx to Power BI · Location: Hyderabad (Mindspace#12B) · Educational Qualification: B.Tech/BE/M.Tech/MCA/M.Sc · Experience: 5yrs Job Description: Role Summary We are looking for a Data Engineer with strong Python and data fundamentals, who can work across data engineering and analytics use cases, and leverage AI-assisted development tools (Codex/Claude) to accelerate delivery. This role is ideal for candidates transitioning from Data Analyst / BI Developer / Junior Data Engineer into AI-powered modern data engineering. Core Expectations (What makes this role different) Use Python + SQL as primary development stack Build data pipelines with AI-assisted coding/productivity tools Work across both: Data pipelines (engineering) Insights / reporting (analytics mindset) Grow into Fabric / Lakehouse / AI-enabled data platform roles Core Skills (Must Have) Programming & Data Strong hands-on experience in Python (mandatory) Solid SQL skills (joins, aggregations, optimization) Experience working with data transformation libraries (Pandas / PySpark basic) Data Engineering Fundamentals Exposure to: ETL / ELT pipelines Data ingestion and transformation Understanding of: Structured & semi-structured data (JSON, CSV, Parquet) Basic workflow/orchestration exposure (Airflow / ADF / similar) Analytics & Business Understanding Experience with: Power BI / Tableau / Reporting tools Ability to: Understand business KPIs Translate requirements into datasets / reports Good to Have Ability to: Use AI for code generation, debugging, documentation Improve productivity through prompt-based development LLMs, prompt engineering, or AI-assisted workflows Exposure to: Microsoft Fabric / Databricks / Snowflake Basic knowledge of: Data modeling (star schema, dimensions) Familiarity with: APIs / data integration Git / CI-CD basics Key Responsibilities Build and maintain data pipelines using Python and SQL Perform data ingestion, transformation, and validation Support reporting and analytics datasets Use AI-assisted tools to: Accelerate development Debug and optimize pipelines Generate reusable code and documentation Assist in building reusable data frameworks and automation Collaborate with senior engineers on modern data platforms (Fabric / Lakehouse) What We Are Looking For Strong learning mindset + curiosity toward AI & data Ability to work across engineering + analytics boundaries Comfortable using AI tools to improve productivity Ownership-driven, fast learner, execution-focused Interest in evolving toward: Data Engineer → Senior Engineer → Architect About us: Prolifics Corporation Limited is a Global Technology Solutions Provider with presence across North America (USA and Canada), Europe (UK and Germany), Middle East & Asia. In India, we have offshore development centres: 2 in Hyderabad & 1 in Pune. For more than 40 years, Prolifics has transformed enterprises of all sizes including over 100 Fortune 1000 companies by solving their complex IT challenges. Our clients include Fortune 50 and Fortune 100 companies across a broad range of industries including Financial Services, Insurance, Government, Healthcare, Telecommunications, Manufacturing and Retail. We rank consistently in Dream Companies to Work for and Dream Employer of the Year ranking from World HRD Congress, ranked 7 in 2019. We encourage you to visit us on www.prolifics.com or follow us on Twitter, LinkedIn, Facebook, YouTube and other social media to know more about us.