Digital Engineering Senior Engineer

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Digital Engineering Senior Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN).

Key Responsibilities:

Analyze ETL (Extract, transform, and load) workloads using data from various sources to drive an understanding of migration requirements.

Perform data cleansing, validation, and preprocessing to prepare structured and unstructured data for analysis.

Analyze a variety of sources to check data quality, integrity, and accuracy. Document findings clearly and communicate with the engineers and owners.

Develop and execute queries, scripts, and data manipulation tasks using SQL, Python, or other relevant tools.

Analyze large datasets to identify trends, patterns, and correlations, drawing meaningful conclusions that inform business decisions.

Create clear and concise data visualizations, dashboards, and reports to communicate findings effectively to stakeholders.

Collaborate with clients and cross-functional teams to gather and understand data requirements, translating them into actionable insights.

Work closely with Data Engineers, users, and Business Owners to ensure effective and complete communication about requirements.

Collaborate with Data Scientists and other analysts to support predictive modeling, machine learning, and statistical analysis.

Continuously monitor data quality and proactively identify anomalies or discrepancies, recommending corrective actions.

Stay up-to-date with industry trends, emerging technologies, and best practices to enhance analytical techniques.

Assist in the identification and implementation of process improvements to streamline data workflows and analysis.

Basic Qualifications:

3 + years of proficiency in data analysis tools such as [Tools - e.g., Excel, SQL, R, Python].

3+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.

Excellent analytical and problem-solving skills.

Undergraduate or Graduate degree preferred

Preferred Skills:

Strong proficiency in data analysis tools such as [Tools - e.g., Excel, SQL, R, Python].

Experience with data visualization tools like [Tools - e.g., Tableau, Power BI, Looker].

Experience with cloud data platforms such as [Platforms - e.g., AWS Redshift, Google BigQuery, Azure Synapse].

Familiarity with ETL (Extract, Transform, Load) processes and tools.

Knowledge of machine learning techniques and tools.

Experience in a specific industry (e.g., financial services, healthcare, manufacturing) can be a plus.

Understanding of data governance and data privacy regulations.

Ability to query and manipulate databases and data warehouses.

Strong communication skills with the ability to explain complex data insights to non-technical stakeholders.

Detail-oriented with a commitment to accuracy.