Data Engineer SQL - Hybrid Working in Bengaluru, India - Jobeax
Vacancy description
Data Engineer SQL - Hybrid Working in Bengaluru, India
konovo
HybridMix of office and remote
India, Bengaluru
Data Engineer SQL - Hybrid Working in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Konovo is a global healthcare intelligence company on a mission to transform research through technology- enabling faster, better, connected insights. Konovo provides healthcare organisations with access to over 2 million healthcare professionals and patients—the largest network of its kind globally. India, Bosnia and Herzegovina, the United Kingdom, Mexico, and the United States, we collaborate to support some of the most prominent names in healthcare. Our customers include over 300 global pharmaceutical companies, medical device manufacturers, research agencies, and consultancy firms. As we transition from a service-oriented model to a product-driven platform, we are expanding our hybrid Bengaluru team. We are looking for an experienced data engineer to contribute to our mission by deep-diving into business problems, building out our data lakehouse and contributing to our advanced analytics. As a Konovo engineer, you will unlock the power of our data, learn a breadth of technologies and aspects of data engineering, help us optimize and solve some of our greatest challenges! hourly off-hours) Design, scale, and operate our lakehouse using medallion patterns (Bronze/Silver/Gold), including incremental loads, backfills, and late-arriving data handling Create curated, well-documented data products that are reusable across teams and trusted for decision-making Improve reliability through automated testing, monitoring/alerting, and clear SLAs for critical pipelines and tables Partner with engineering and business stakeholders to translate needs into durable data models (not one-off extracts) Ensure data governance and security expectations are met through disciplined implementation (access controls, lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science)
Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling)
Hands-on Databricks + Spark experience in production (debugging, performance tuning, cost awareness)
Experience building batch ELT at frequent cadence (e.g., 15-minute schedules), including idempotency, backfills, and late-arriving data patterns
Experience with orchestration and transformation tooling (e.g., Strong data quality discipline: automated tests/expectations, monitoring/alerting, and clear SLAs for critical datasets
Comfortable working hybrid in Bengaluru (Whitefield) and overlapping 3–4 hours with EST
Bonus Points: Deep Delta Lake experience (schema evolution, OPTIMIZE/Z-ORDER, compaction, partitioning strategy) Strong observability practices for data systems (metrics, lineage, data contracts, incident postmortems) Cost and performance optimization in Databricks (cluster sizing, job tuning, Photon, caching strategies) Experience building governed data products for multi-tenant consumption (RBAC, PII handling, auditability) Exposure to healthcare, life sciences, or market research data and related compliance considerations Join a fast-growing global team with opportunities for professional growth and advancement. Enjoy a collaborative and hybrid work environment that fosters innovation and flexibility. Experience a workplace that puts employees first, offering a workplace designed for growth, well-being, and balance. Become a part of an organization that prioritizes your well-being with comprehensive benefits, including group medical coverage, accident insurance, and a robust leave policy. Make a real-world impact by helping healthcare organizations innovate faster.
... sustainably into the digital future. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For ...
... suggest better ways of working so implementations run smoothly and clients are set up for long-term success. Migrate and transform client corporate governance data and documents into Diligent platforms, ensuring accuracy, consistency, and completeness. Run regular data quality checks, validate data against source records, ...
... design and implement automated data pipelines and materialized views. - Proficiency in Python, Unix or similar languages. - Good understanding of SQL oracle, SQL server or similar languages. - Ops & CI/CD: Monitoring (Prometheus/Grafana), logging, pipelines (Jenkins/GitHub Actions). - Core Engineering: Data structures/algorithms, ...
Data Engineer III/ IV - IN (Operation/ Supports) Work Location - Remote Work From Home Shift: Rotation Shifts (24/7) Experience: 7-12 years The Data engineer is responsible for managing and operating upon Databricks, Dbt, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI/Tableau. The engineer will work closely with the customer ...
... Shishir's team, Data analytics CoE head. Someone that can help with the reporting needs, need resource who can support here. Require more data visualization, know data engineering as well. -SQL Tableau -SQL - Need to create data for powerBI and tableua, done in SQL - BCG Data Lake is entirely snowflake - Write SQL queries in ...
... integrate data solutions into the overall architecture. Previous experience in Data Engineering, we're looking for around 3-7 years worth of experience. Strong SQL skills and experience working with relational databases such as Snowflake, PostgreSQL, or MySQL. Experience building and maintaining data pipelines and ETL workflows ...
... looking for Strong experience as a Data Engineer in Azure environments Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar Solid SQL and data transformation experience Experience building ETL/ELT pipelines for analytics workloads Understanding of data modelling and working with BI teams Experience ...
... processes. The assigned offshore team shall consist of two (2) MDM Data Engineers with complementary technical expertise, working under the direction of the onshore data architecture lead. Both engineers shall possess strong Snowflake and Python data engineering experience. At least one (1) engineer shall possess senior-level ...
... capture the most granular data. Align the engineering and product teams on the Data Granularity and accuracy requirements. Build Alerts to detect bugs in the data pipeline. Perform data analysis to test hypothesis and uncover factor influencing metric variations Build Feature Store for Data Science implementations Overall ...
... product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage with Engineering & Product when needed. Partner with Account Managers, ...
... dashboards. - Expert-level proficiency in SQL , including complex queries, joins, aggregations, subqueries, and data manipulation. - Strong understanding of data preparation, data modelling, reporting, and visualisation principles. - Experience working with financial, operational, risk, or business performance data. - ...
... demonstrate technical and non-technical information, ideas, procedures, and processes Prior experience in an SAP and/or Informatica driven environment Ability to use SQL to analyze data Bachelor's degree related to Information Systems, Business or other relevant academic discipline with a minimum 4 years job experience in IT or ...
... DAX expressions. Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders. Collaborate closely with Data Engineering teams by providing clear and detailed requirements. Ensure data accuracy, consistency, and adherence to best practices in reporting and analytics ...
... development and deployment practices. 6-8 years of experience in data science, including hands-on development of AI/ML or optimization models and at least 2 years working with process event or behavioral data. - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative ...
... 4 to 6 years of hands-on professional experience Education: BE/B.Tech/ME/M.Tech/MCA/MSc IT Primary Skills (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical ...
... opportunities, and business insights. Create dashboards, visualizations, and reports that communicate insights effectively to technical and non-technical stakeholders. Data Engineering & Solution Delivery Collaborate with data engineering teams to establish scalable data pipelines and AI-ready data platforms. Ensure data quality, ...
... engineering, model training, model tuning, and offline & online experimentation Strong programming skills with minimum 3-6 years of experience in Python Experience working with databases and expert knowledge of SQL Proficiency in statistical ML algorithms and statistics analysis methods Good knowledge of machine learning tools ...
... Storytelling- translate technical findings into clear, actionable recommendations for non-technical stakeholders, including senior leadership. 3-4 years of experience in data science, analytics, or a related quantitative role, ideally handling large, real-world datasets. - Strong hands-on skills in Python and SQL, with solid fundamentals ...
... of experience in data analytics or a related field Strong hands-on experience with: SQL Python Power BI and/or Tableau Solid understanding of data modeling, data cleaning, and transformation techniques Experience working with structured and unstructured datasets Familiarity with statistical analysis and data visualization ...
... our team, choose your own path and work on projects that excite you. The Data and Analytics team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving ...